tag:blogger.com,1999:blog-79402912281235118532023-11-15T23:16:20.499+09:00Puji RahmadiAnonymoushttp://www.blogger.com/profile/04198624550231718406noreply@blogger.comBlogger3125tag:blogger.com,1999:blog-7940291228123511853.post-11786658010652193472014-10-14T12:11:00.002+09:002014-10-14T12:16:56.542+09:00<div align="center" class="MsoNormal" style="text-align: center;">
<b><span style="font-size: 14.0pt; mso-bidi-font-size: 12.0pt;">Effects of different levels of ozone on ammonia, nitrite, nitrate and dissolved organic
carbon in sterilization of seawater<o:p></o:p></span></b></div>
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<br /></div>
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<b><sup>1</sup>Puji Rahmadi, <sup>2</sup>Young Ryun Kim<o:p></o:p></b></div>
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<i><sup><span style="font-size: 10.0pt; mso-bidi-font-size: 12.0pt;">1</span></sup></i><i><span style="font-size: 10.0pt; mso-bidi-font-size: 12.0pt;">Ph.D. candidate at Ecological Engineering Dept., Pukyong University<o:p></o:p></span></i></div>
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<i><sup><span style="font-size: 10.0pt; mso-bidi-font-size: 12.0pt;">2</span></sup></i><i><span style="font-size: 10.0pt; mso-bidi-font-size: 12.0pt;">Ph.D. candidate at environmental Engineering Dept., Pukyong University<o:p></o:p></span></i></div>
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<i><span style="font-family: "Palatino-Italic","serif"; font-size: 9.0pt; mso-bidi-font-family: Palatino-Italic;">Pukyong National University, 599-1
Daeyeon 3-Dong, Namgu, Busan, South Korea, 608-737.<o:p></o:p></span></i></div>
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<i><span style="font-family: "Palatino-Italic","serif"; font-size: 9.0pt; mso-bidi-font-family: Palatino-Italic;">Tel. +8251 629 6541; Fax: +8251 629 7907; email:pujirahmadi@pknu.ac.kr</span></i><b><o:p></o:p></b></div>
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<b>Abstract<o:p></o:p></b></div>
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<span style="font-family: 'Times New Roman', serif;">Ozone is applied to the
recirculation aquaculture system (RAS) to reduce bacteria and parasites. Besides
the sterilization effects, it is known that ozone has oxidizing effects on some
water quality parameters. Therefore, oxidizing effects of ozone on ammonia (</span><span style="font-family: 'Times New Roman', serif;">NH<sub>4</sub>-N</span><span style="font-family: 'Times New Roman', serif;">),
nitrite (NO<sub>2</sub>-N), nitrate (NO<sub>3</sub>-N), and dissolved organic
carbon were tested. During the test, ozone effects on pH, dissolved oxygen (DO)
and bromination were also monitored. Ozone concentrations were originally set
to 0.05, 0.1, 0.15, 0.2 and 0.25 ppm, but actual treatment concentrations were maintained
at 0.04, 0.11, 0.15, 0.19 and 0.23 ppm. </span><span style="font-family: 'Times New Roman', serif;">The 5 ppm of NH<sub>4</sub>-N
was oxidized within 12 hours in all concentrations of ozone treatments, with
the average oxidizing rate of 0.65±0.28 mg NH<sub>4</sub>-N/L per hour. The 5
ppm of NO<sub>2</sub>-N was oxidized within 1.5 hours in all concentrations of
ozone treatments at a rate of 4.5 mg NO<sub>2</sub>-N/L per hour. One out of 5
ppm NO<sub>3</sub>-N was oxidized by all concentration of ozone treatment after
24 hours. Ozone also oxidizes dissolved organic carbon and maintained the
concentration at about 2.9±0.77 ppm from the 15 ppm of initial concentration by
12 hours. DO was increased from 5.9 ppm to 9.4 ppm within 30 minutes in all
ozone treatment and stabilized thereafter. Bromate concentrations increased
sharply within the first 6 hours of ozonation at the rate of 7.3±2.4 mg/L per
hour in almost all ozone treatments; the rate decreased to 2.5±0.15 mg/L per
hour thereafter. However, bromate concentration was not increased in the
ammonia experiment until all ammonia was oxidized. Therefore, further studies
are needed to determine the relationship between NH<sub>4</sub>-N concentration
and bromate formation in seawater. <o:p></o:p></span></div>
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<i>Keywords:
ozone, organic carbon, bromate, ammonia, nitrite, nitrate</i><o:p></o:p></div>
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<b>1. Introduction <o:p></o:p></b></div>
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Water quality
is one of the most important factors in managing intensive aquaculture systems.
Currently, researchers are attempting to find the simplest and cheapest way to
maintain better water quality. Ozone has been widely used to sterilize
pathogens from the supply and effluent water in aquaculture systems [1]. However,
ozone treatment has been found to be effective on the removal of organic and
inorganic metabolites in the aquaculture system [2]. <o:p></o:p></div>
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Ozone can be
applied in aquaculture because it is a powerful oxidative agent that has very
unstable bonds in chemical chains. At low pH (<7), molecular ozone (O<sub>3</sub>)
is the dominant form. When pH increases, O<sub>3</sub> turns into very
short-lived hydroxyl radicals and its oxidative potential increases. In
aquaculture, ozone has been used for water disinfectant and water quality
improvement [1]. Ozone also improves water quality by deactivating bacterial,
fungal and viral pathogens in aquaculture system [2, 4, 5, 6]. Application of
ozone in RAS (Recirculation Aquaculture System)
has the purpose of using available water more efficiently. By applying ozone, it
is able to increase water quality conditions because ozone removes dissolved
organic compounds, ammonia and nitrite in addition to being a good disinfecting
agent [7]. However, the use of ozone also brings some disadvantages to
aquaculture systems such as the risk of bromate forming, ozone residual, and
the high consumption of power to produce ozone [3].<o:p></o:p></div>
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Bromate ion (BrO<sub>3</sub><sup>−</sup>) is the highest
oxidation state of the bromide ion. The bromate ion can be formed during the
ozonation of bromide-containing waters [8]. Ozone oxidizes bromide to form
hypobromite ion (OBr<sup>−</sup>). Hypobromite continues to be oxidized to form
bromate, or to form an unidentified species, possibly Bromine dioxide (BrO<sub>2</sub><sup>−</sup>),
which regenerates bromide ion [9]. Brominated by-product formation in ozonated
water is influenced by bromide ion concentration, the source and concentration
of natural organic matter (NOM), pH, ozone dose, and reaction time [10]. It is
important to note that ozonation under higher pH conditions produces higher
bromate concentrations, such that with sufficient bromide and ozone applied to
meet an ozone residual for disinfection; tens of micrograms per liter of
bromate can be formed [11].<o:p></o:p></div>
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<span style="color: black;">Ozone is able to oxidize ammonia to some other relevant molecule.
Ammonia may decompose to N<sub>2</sub> by several chain reactions<a href="https://www.blogger.com/null" name="fd1"></a>, </span>but ozone does not
decompose ammonia into the innocuous N<sub>2</sub>. It is only transferring
ammonia from water to the atmosphere as the following reaction [12]. <o:p></o:p></div>
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Br + O<sub>3</sub> + H <span style="font-family: Wingdings; mso-ascii-font-family: "Times New Roman"; mso-char-type: symbol; mso-hansi-font-family: "Times New Roman"; mso-symbol-font-family: Wingdings;">à</span> HBrO + O<sub>2</sub> ............................................ (1)<o:p></o:p></div>
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NH<sub>3</sub> + HBrO <span style="font-family: Wingdings; mso-ascii-font-family: "Times New Roman"; mso-char-type: symbol; mso-hansi-font-family: "Times New Roman"; mso-symbol-font-family: Wingdings;">à</span> NH<sub>2</sub>Br + H<sub>2</sub>O....................................... (2)<o:p></o:p></div>
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NH<sub>2</sub>Br + HBrO <span style="font-family: Wingdings; mso-ascii-font-family: "Times New Roman"; mso-char-type: symbol; mso-hansi-font-family: "Times New Roman"; mso-symbol-font-family: Wingdings;">à</span> NHBr<sub>2</sub> + H<sub>2</sub>O................................... (3)<o:p></o:p></div>
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NH<sub>2</sub>Br + NHBr<sub>2</sub> <span style="font-family: Wingdings; mso-ascii-font-family: "Times New Roman"; mso-char-type: symbol; mso-hansi-font-family: "Times New Roman"; mso-symbol-font-family: Wingdings;">à</span>N<sub>2</sub> + 3Br + 3H ................................ (4)<o:p></o:p></div>
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Ammonia
will oxidize to nitrite and continues to oxidize into nitrate by ozone via;<o:p></o:p></div>
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NH<sub>4</sub><sup>+</sup> + 3O<sub>3</sub> <span style="font-family: Wingdings; mso-ascii-font-family: "Times New Roman"; mso-char-type: symbol; mso-hansi-font-family: "Times New Roman"; mso-symbol-font-family: Wingdings;">à</span> NO<sub>2</sub><sup>−</sup> + 3O<sub>2</sub> + 2H + H<sub>2</sub>O........................ (5)<o:p></o:p></div>
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NO<sub>2</sub> + O<sub>3</sub> <span style="font-family: Wingdings; mso-ascii-font-family: "Times New Roman"; mso-char-type: symbol; mso-hansi-font-family: "Times New Roman"; mso-symbol-font-family: Wingdings;">à</span> NO<sub>3</sub> + O<sub>2</sub>................................................... (6)<o:p></o:p></div>
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Ammonia could also oxidize directly into nitrate
by the following reaction [13];<o:p></o:p></div>
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<a href="https://www.blogger.com/null" name="eq1"></a>NH<sub>4</sub><sup>+ </sup>+ 4O<sub>3</sub>→
NO<sub>3</sub><sup>− </sup>+ 2H<a href="https://www.blogger.com/null" name="OLE_LINK2"></a><a href="https://www.blogger.com/null" name="OLE_LINK1"><sup>+</sup></a><sup> </sup>+ H<sub>2</sub>O
+ 4O<sub>2</sub>......................... (7)<o:p></o:p></div>
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As mentioned above, ammonia will oxidized into
nitrite and the final product will be nitrate. <o:p></o:p></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
Other than ammonia, ozonation also decreases organic
carbon concentrations by: direct oxidation of organic compounds; coagulation of
small organic particle into larger ones and more easily removed by mechanical
filtration; and breaking down large, “refractory,”
organic molecules into more biodegradable ones [14]. <span style="background: white;">Ozonation of NOM may create organic polymers that either
enhances coagulation of<span class="apple-converted-space"> </span>are more
easily coagulated; Ozone can breakdown complexes Fe and Mn which might be tied
up with NOM; the<span class="apple-converted-space"> </span>release of the
oxidized metals<span class="apple-converted-space"> </span>creates a source
of coagulant [32]. </span>Ozone could oxidize nitrite, nitrate, and ammonia
along with TOC in the water. In another side, ozonation can also produce the brominated
by-products. However, to our best knowledge there is no report considering on
the effect of several levels of ozone concentrations on water quality
parameters such as ammonia, nitrite, nitrate and TOC. Therefore, a series of
experiments to determine the oxidation effects of ozone concentrations on
ammonia, nitrite, nitrate, and TOC were conducted. During the ozone treatments,
changes of dissolved oxygen, pH, and bromate were monitored.<o:p></o:p></div>
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<br /></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<b>2. Materials and methods<o:p></o:p></b></div>
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<b>2.1. System Design<o:p></o:p></b></div>
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All the treatments were done within a fume hood (Figure
1). Ten liters of acrylic cylinders were filled with 7 Liters each of sea
water. Four tubes were installed in
each with an ozone spreader (air stone) and bar thermometer. Ozone was
introduced into each cylinder through a plastic hose and air stone. An airflow
meter was installed for each cylinder to measure and adjust the amount of ozone
added to the water. An ozone generator (<i>Ozonetech</i>,
PC57L-10) with the capacity of 13 L/min of ozone gas was used. The fume hood
was equipped with a ventilation system to remove excess ozone from the cylinders.
An air temperature controller was installed in the fume hood to adjust the
experimental temperature to 25<sup>o</sup>C (Fig. 1).<o:p></o:p></div>
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<b>Fig.1<o:p></o:p></b></div>
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<br /></div>
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<b>2.2. Experimental
Procedure<o:p></o:p></b></div>
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After the system
was setup, each acrylic cylinder was filled with 7 L of filtered seawater. The
temperature was set at 25<sup>o</sup>C and the initial DO, pH, and ozone
concentrations were measured before ozone was injected. When the system was stabilized (about
20 minutes) and initial water quality parameters had
been measured, ozone was continuously injected into the water at the rate of 1
L/min, 2 L/min, 3 L/min, 4 L/min and 5 L/min. When ozone reached
equilibrium concentration, initial source of each measurement was added to the
water and samples were taken periodically. Water samples were periodically collected for analysis of ozone and other
water quality parameters. Periodical sampling intervals were established, dependent
on the speed of changes of water quality parameters monitored. <o:p></o:p></div>
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Experiments were held in four different treatments, all
the treatments were used the identical system as explained above. The only
differentiation in each treatment is the chemical used for water parameter
(ammonia, nitrite, nitrate and TOC). Anhydrous ammonium chloride (NH<sub>4</sub>Cl)
was used as the ammonia source with a concentration of 5 ppm. While the Sodium nitrite
(NaNO<sub>2</sub>), with the initial concentration of 5 ppm, was used as the
nitrite source. In case of nitrate, Sodium nitrate (NaNO<sub>3</sub>) with the
initial concentration of 5 ppm was used as the nitrate source. And then Glucose (dextrose) was used as the carbon
source in the equal concentration of TOC reached 15 ppm [15].<o:p></o:p></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
Ozonation of seawater resulted in side effects in addition
to the main parameter measured. Therefore, while the maintaining ozone
equilibrium concentration, bromate, DO and pH changes were also measured.<o:p></o:p></div>
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<br /></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<b>2.3. Water
Quality Measurement Procedure<o:p></o:p></b></div>
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<b>2.3.1. Ozone
Measurement<o:p></o:p></b></div>
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Measurement of ozone residual
(ozone equilibrium concentration) in the water was done using Spectrophotometer
Hach DR-2800. Samples were taken as much as the volume of the ampoules. Reagent
(indigo reagent) was prepared and sealed inside of the commercial ampoule. The ampoules
were immersed into the water treatments and water samples were collected. After
ampoules were full filled with the water sample, ampoules were raised, reversed
and shakes gently. A few second after, samples were measured under the
spectrophotometer in wave length of 600 nm. Because of ozone is very unstable
material, so constantan loss of absorbance of indigo reagent were used to
calibrated and determined the ozone concentration in the water [33, 34].<o:p></o:p></div>
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<br /></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<b>2.3.2. Ammonia
Measurement<o:p></o:p></b></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
Anhydrous ammonium chloride
(NH<sub>4</sub>Cl) was used as ammoniac source (APHA, AWWA, WEF. 1995). To
observe the ammoniac degradation “Manual Phenate Method” was used by combined
it with spectrophotometer OPRON 3000. The measurement was done based on the
standard method book for examination of water and wastewater by APHA, AWWA, and
WEF 1995. In this method, six reagents were made, standardized, and used to determined
ammoniac concentration.<o:p></o:p></div>
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<br /></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<b>2.3.3. Nitrate
and Nitrite Measurement<o:p></o:p></b></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
The nitrate source was used is
sodium nitrate (NaNO<sub>3</sub>) while the nitrite source was used is sodium
nitrite (NaNO<sub>2</sub>) (APHA, AWWA, WEF. 1995). Samples were filtered first
with the whatman paper to remove suspended solid contain. After filtered,
samples were enriched with color development reagent. The samples were then
measured its absorbance level using spectrophotometer. For nitrate the spectrophotometer
at 543 nm of wave length was used, while measurement of nitrate was done under
the wave length of 220 nm and 275 nm.<o:p></o:p></div>
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<br /></div>
<div class="MsoNormal" style="tab-stops: 167.25pt; text-align: justify; text-justify: inter-ideograph;">
<b>2.3.5. TOC Measurement<o:p></o:p></b></div>
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Glucose (dextrose) was used as
the carbon source and TOC concentration were conditioned to reach the level of
15 ppm. TOC measurement was done under the HiPerTOC analyzer. For total organic
carbon measurement, sample was injected into a gas-sparged reactor containing
acidified potassium persulfate (K2S2O8) solution; continued by exposures the
solution using elevated ultraviolet (UV) radiation to enhance the oxidation.
The concentration of total organic carbon (TOC) was measured as the difference
between "total carbons (TC)" and "inorganic carbon (IC)"
results (Thermo Electron Corporation, 2009).<o:p></o:p></div>
<div class="MsoNormal" style="tab-stops: 167.25pt; text-align: justify; text-justify: inter-ideograph;">
<b> <o:p></o:p></b></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<b>2.3.6. Bromate
Measurement<o:p></o:p></b></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
Bromate concentrations in this
experiment were measured using spectrophotometer under the wave length of 590
nm. The reagents used were acetate buffer, phenol red indicator solution, chloramines-T
solution, sodium thiosulfate, and bromide stock solution. Determination of bromate
concentration could be done by comparing the data to the calibration curve of
bromate. (APHA, AWWA, WEF. 1995).<o:p></o:p></div>
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<br /></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<b>3. Results and Discussion<o:p></o:p></b></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<b>3.1. Ozone Equilibrium Concentration<o:p></o:p></b></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
Each loading rate of ozone treatment was resulting in
different level of ozone equilibrium concentration in the seawater. One L/min
treatment resulting 0.04 ppm, while 2, 3, 4 and 5 L/min of ozone loading
treatment resulting the equilibrium concentration of 0.11, 0.15, 0.19 and 0.23
ppm of ozone respectively. The loading rate of
ozone and its equilibrium level in the water were never have in the same level,
as a part is diluted in the water and the other part is evaporate to the air as
its buffer.<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<b>3.1. Ammonia Oxidation<o:p></o:p></b></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
<span class="word">Five ppm of ammonia in seawater has
entirely oxidized no longer than 12 h by ozone (Fig.2). In this experiment, ammonia
removal by ozone was relatively very fast in the first 3 hours, and it’s
continue slowly within next 9 hours until all ammonia concentration was
oxidized. Ammonia removals by ozone were classified into two groups, which are
the lower and higher ones. The lower ozone treatment (1, 2, and 3 L/min of
ozone) has the removal rate </span>of 0.55±0.21 ppm/hour with the removal
acceleration of <i>y=1.2873Ln(x) +1.141</i>
in average. The other is<span class="word"> higher ozone treatment (4 and 5 L/min
of ozone) with the removal rate of </span>0.75±0.20 ppm/hour by the removal
acceleration of <i>y=1.2108Ln(x) +1.3005</i>
in average. As distinct from ozone treatment, ammonia concentrations in the
water treated by common aeration were only remained in the initial concentration
by air loading rate of 1, 2 and 3 L/min, while for air loading rate of 4 and 5
L/min it could reduce ammonia in about 5% from initial concentration. <o:p></o:p></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<br /></div>
<div align="center" class="MsoNormal" style="text-align: center;">
(Fig.2.)<o:p></o:p></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<br /></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
By the reaction number 5 and 6 above, we know that ammonia
could oxidized into nitrate accumulation either by direct or indirect reaction
with ozone. In an identical culture system, different levels of ozone
concentration were reported to have no effect on the oxidizing ability of
ammonia [12]. The differentiation of ammonia removal rate in this experiment
was suggested caused by foam fractionation. Because more air introduced into
higher ozone treatment groups, more foam to accumulate on the surface of water treated.
Tanaka and Matsumura have reported that the foam fractionation is able to
remove ammonia from the water [16].<o:p></o:p></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
Although ammonia was removed from the water, nitrate accumulations
were found increased rapidly in the first 12 hours and then the increment was
slowing into final experiment (Fig.3). Ammonia was oxidized by ozone into
nitrite and continuous to oxidize into nitrate. Here by this experiment, the
ammonia loading rate of 5 ppm/day was oxidized to be nitrate as much as 15.4 ±
0.29 mg/L in 24 hours. <o:p></o:p></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<br /></div>
<div align="center" class="MsoNormal" style="text-align: center;">
(Fig.3.)<o:p></o:p></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<br /></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
By the formulas of reaction no.5 and 6 also based on mass
balance each molecule; the 5 mg/L of initial ammonia ideally should be oxidized
into 17.23 mg/L of nitrate. The concentration of nitrate in this experiment was
recorded at a level of 15.4 ± 0.29 mg/L. The difference between nitrate accumulated
in this experiment and that in the calculation method is caused by the natural reaction
involves ammonia ion. During the ozonation of ammonia, there are many
possibilities for the formation of the other ions, such as brominated product,
nitrogen ions, and other by-products [13]. In this experiment ammonia was
transformed into nitrate and some other by-products by ozone oxidation. <b><o:p></o:p></b></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<b> <o:p></o:p></b></div>
<div class="MsoNormal">
<b>3.2. Nitrite
Oxidation<o:p></o:p></b></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
Ozone also reacted with nitrite and oxidized it into nitrates
and other excess gas from the water. Five ppm of nitrite in seawater was
oxidized completely within 90 minutes in all ozone treatment concentrations
with an average removal rate of 4.45 ± 0.21 mg/L per hour (<i>y= 1.3022Ln(x)-0.993</i>). After the first 30 minutes, nitrite
concentration decreased 80% from 5 ppm to 1 ppm, and then continuously decreased
to near zero within 90 minutes (Fig.4).<o:p></o:p></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<br /></div>
<div align="center" class="MsoNormal" style="text-align: center;">
(Fig.4.)<o:p></o:p></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<br /></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
This experiment was used five ppm of initial concentration
because an initial nitrite concentration of less than 10mg/L is near the
maximum nitrite concentration that would be found in an untreated, high density
fish hatchery [17,18,19,20,21]. The rate of nitrite removal was very high in
the first 30 minutes; this was similar to the result reported by Lin and Wu
[31], who reported that nitrite removal using an electrochemical could remove
the initial total nitrite level of 5 mg/L in more than 30 min. In the
application of ozone in seawater, any ammonia will oxidized into nitrite, which
is only a temporary phase because nitrite itself will then be oxidized by ozone
into nitrate. Nitrite is the temporary phase of reaction, resulting the
relatively short oxidation time of the nitrite concentration. The quick
oxidation reaction of nitrite was also caused by the double reaction that could
happen by involving a nitrite ion, that are the direct reaction of nitrite with
ozone [13], and reaction between nitrite and bromide acid which resulted from
the reaction of bromide and ozone [12. This result indicates that nitrifying
bacteria, which decomposes ammonia and nitrite from the water, will no longer
to be the limitation factor for aquaculture especially in RAS. In the conventional aquaculture especially in RAS,
ammonia removal was done by nitrification bacteria, it is therefore even though
water supply and food has increased, the maximum density of carrying capacity
still limited by concentration of ammonia accumulated in the water since nitrobacteria
population is limited to its space of growth. By applying ozonation method,
ammonia removal will no longer depend on nitrobacteria population, it is reduced
by ozone.<o:p></o:p></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoNormal">
<b>3.3. Nitrate
Oxidation<o:p></o:p></b></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
Nitrate was oxidized from the initial concentration of 5
ppm to 3.95 ppm after 12 hours, and remained at that level thereafter (Fig.5). There
were no significances different among the ozone treatments on nitrate
oxidation. Nitrate removal rate averaged 0.36 ppm/h (<i>y = -0.0851Ln(x) + 4.1748</i>). Oxidation of nitrate by ozone was
complete within 12 hours of treatment; after 12 hours there was no significant
change (p>0.05) in nitrate concentration. The same cases with ozone treatment,
the nitrate concentrations were also remaining in the initial concentration
while the water was treated with the common aeration. <o:p></o:p></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<br /></div>
<div align="center" class="MsoNormal" style="text-align: center;">
(Fig.5.)<o:p></o:p></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
Nitrate is the final product of the nitrification process [22].
Therefore, it is accumulated in an intensive aquaculture system, especially in
RAS. Ozone could not oxidize nitrate optimally because ozone and nitrate have
the same number of active oxygen molecules<span class="z3988"><span lang="EN" style="display: none; mso-ansi-language: EN; mso-hide: all;"> </span></span><span lang="EN">. <span class="z3988"><span style="display: none; mso-hide: all;"> </span></span>Nitrate already has three
atoms of oxygen, so it cannot be oxidized by ozone, which also has the same
electron valence from the oxygen molecule. </span>Unlike in the biological
process of denitrification in which nitrobacteria decompose the NO<sub>3</sub><sup>-
</sup>–N in the water into N<sub>2 </sub>ion, which could then be easily released
into the air, ozonation allows the nitrate remaining in treated water to
accumulated easily. Therefore, denitrification may need to be part of the
ozonation process when nitrate accumulation becomes toxic. So, preventing NO<sub>3</sub><sup>-
</sup>–N formation becomes the key point while the process of removing ammonia
from the water by ozonation [12].<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<b>3.4. TOC Oxidation<o:p></o:p></b></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 36.0pt; text-justify: inter-ideograph;">
TOC concentration has consistently dropped during the
ozonation process, leveling off when the concentration reached 2.98 ± 0.77 ppm
in all treatments after 12 hours except for the
lowest ozone treatment which is leveling off in the concentration of 4.06<u>+</u>0.46
ppm after 24 hours (Fig.6). This means
that TOC reached an equilibrium concentration and remained there after. The TOC
oxidation rate could be divided into three groups, the lowest, medium, and highest
ozone treatments with the oxidation rate of 1.65 ppm/hours, 2.22 ppm/hour, and 2.25
ppm/hour respectively. This experiment indicated that the lowest ozone
treatment (1 L/min) was removing significantly (p<0.05) less TOC from the
water while the other concentration were not significant different (p>0.05)
on the removal rate.<o:p></o:p></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<br /></div>
<div align="center" class="MsoNormal" style="text-align: center;">
(Fig.6.)<o:p></o:p></div>
<div class="MsoNormal" style="tab-stops: dotted 333.0pt; text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
This
experiment used glucose (C<sub>6</sub>H<sub>12</sub>O<sub>6</sub>) as the
organic carbon source. The TOC initial concentration was adjusted to 15 mg/L of
organic carbon ion. The initial TOC was selected because it was reported as the
average TOC concentration remained in intensive aquaculture systems [14, 22]. Ozonation
also reduced TOC levels by approximately 17 % [23]. In this experiment the
lowest ozone treatment (1 L/min) was significantly less in removing organic carbon
contained in the water. This statement was also confirmed by Rosenthal (1980), who
explained that ozone at certain doses was not sufficient to oxidize organic
compounds completely, but did break up large organic molecules into smaller,
more easily biodegradable ones <o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<b>3.5. Ozonation
by-products<o:p></o:p></b></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<b>Bromate<i>
</i>Formation <o:p></o:p></b></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
In this experiment, monitoring of bromate concentration in
the seawater was done in three different treatment, those were bromate
formation while ozonation of seawater without interferer, bromate formation
while oxidation of ammonia and the last is the bromate formation while
oxidation of TOC. Ozonation of seawater without any interferer were resulting
in very high bromate formation. Bromate formation increased with ozone exposure
time (Fig.7). Bromate concentration was increased sharply into 79.28 ppm as
long as 24 hours of ozonation. <o:p></o:p></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<br /></div>
<div align="center" class="MsoNormal" style="text-align: center;">
(Fig.7.)<o:p></o:p></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<br /></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
In the oxidation of ammonia, bromate formation was suppressed
as long as ammonia still available in the water. Bromate concentration was remained
at 0.33 ppm for the first 6 hours, and increased to 8.3 ppm for the next 6
hours, then dramatically increased thereafter (Fig.8). <o:p></o:p></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<br /></div>
<div align="center" class="MsoNormal" style="text-align: center;">
(Fig.8.)<o:p></o:p></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<br /></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
In the oxidation of TOC, bromate formation also suppressed
by the organic carbon contained in the water. During the first 12 hours, all
bromate concentration was found below of 10 ppm except for 5 L/min of ozone
treatment (Fig. 9). After the 12 hours, in the same time were the TOC also exhausted,
bromate formation were sharply increase. <o:p></o:p></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div align="center" class="MsoNormal" style="text-align: center;">
(Fig.9.) <o:p></o:p></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<br /></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
It is well known that ozonation of bromide-containing
waters can oxidize the bromide ion (Br<sup>−</sup>) to bromate (BrO<sub>3</sub><sup>−</sup>)
ion within normal water quality ranges and treatment parameters [23, 8, 24, 9,
25, and 11]. The bromate ion (BrO<sub>3</sub><sup>−</sup>) is the highest
oxidation state of the bromide ion and ozone oxidizes bromide to hypobromite
ion (OBr<sup>−</sup>) [8]. Hypobromite continues to be oxidized to bromate or
to an unidentified species, possibly Bromine dioxide (BrO<sub>2</sub><sup>−</sup>),
which regenerates bromide ion [9]. Formation of brominated by-product in
ozonated waters is influenced by bromide ion concentration, the source and
concentration of natural organic matter (NOM), pH, dose of ozone, and reaction
time [11]. <o:p></o:p></div>
<div class="MsoNormal" style="mso-layout-grid-align: none; text-align: justify; text-autospace: none; text-justify: inter-ideograph;">
The conversion of bromide ion
into bromine and bromate are shown in the following two formulas:<o:p></o:p></div>
<div class="MsoNormal" style="margin-left: 30.0pt; tab-stops: dotted 5.0cm 333.0pt; text-indent: 36.0pt;">
O<sub>3</sub>
+ Br <span style="font-family: Wingdings; mso-ascii-font-family: "Times New Roman"; mso-char-type: symbol; mso-hansi-font-family: "Times New Roman"; mso-symbol-font-family: Wingdings;">à</span>
O<sub>2</sub> + OBr<sup>-</sup> ..................................................... (8)<o:p></o:p></div>
<div class="MsoNormal" style="margin-left: 30.0pt; tab-stops: dotted 5.0cm 333.0pt; text-indent: 36.0pt;">
2O<sub>3</sub>
+ OBr<sup>-</sup> <span style="font-family: Wingdings; mso-ascii-font-family: "Times New Roman"; mso-char-type: symbol; mso-hansi-font-family: "Times New Roman"; mso-symbol-font-family: Wingdings;">à</span> 2O<sub>2</sub> + BrO<sub>3</sub><sup>-</sup> ............................................ (9)<o:p></o:p></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 30.0pt; text-justify: inter-ideograph;">
Bromide reacts with ozone to produce oxygen and
hypobromite; hypobromite is then oxidized by ozone into bromate and oxygen.
According to Bowen [26], common seawater has average bromide ion (Br<sup>-</sup>)
concentrations as high as 66 mg/L. Based on the above reactions, 66 mg/L of
bromide ion could be converted into 105 mg/L bromate ion. In this experiment,
the bromate reaches the level of 79.28 mg/L. This bromate concentration was relatively
high compared to theoretical bromate production. The simplest method to
decompose the oxidizing bromines is to use a reducing agent like an activated
carbon column or by using Na<sub>2</sub>SO<sub>3 </sub>[12].<o:p></o:p></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 30.0pt; text-justify: inter-ideograph;">
In this experiment bromate concentration did not increase for
12 hours, during the time that ammonia exists. Moreover, bromate will not be
formed as long as ammonia is present in the water system. Bromide will be oxidized
by ozone and react with ammonia into dibromamine (NHBr<sub>2</sub>) or
hypobromous acid (HOBr) and the other bromine ion [16]. In addition, ammonia
has been suggested to be a potential quenching agent that may act to minimize
bromate formation in water [27]. Ozone which was
diluted to the water will react with existing TOC first before it can be reacting
with bromide ion to form bromate. In addition, result of oxidation of TOC by
ozone could produce compounds that can react with brominated ion such as BrO<sub>3</sub><sup>-</sup>,
Br<sup>-</sup>, Cl<sup>-</sup>, and SO<sub>4</sub><sup>2-</sup> before it is
oxidized by ozone into bromate. Hofmann suggested that the formation of
bromate may be highly coupled with the characterization and concentration of
NOM [27].<o:p></o:p></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoNormal">
<b>Dissolved Oxygen<i> </i>Changes<i><o:p></o:p></i></b></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
DO levels increased in all ozone treatments (Fig. 10). When
ozone was introduced into the water, DO was increase from the level of 6.23 ppm
in average into 9.2 – 9.6 ppm and stabilize thereafter. Even though ozone
increasing DO into super saturation level, common aeration treatment only
promote DO to reach saturation level at 7.2 ppm in average. No differences in
DO levels were found among the aeration groups after 30 minutes and thereafter (p>0.05).
<b><o:p></o:p></b></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<br /></div>
<div align="center" class="MsoNormal" style="text-align: center;">
(Fig.10.)<o:p></o:p></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<br /></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
In this experiment DO was increased with ozonation. Ozone
is a triatomic oxygen molecule (O<sub>3</sub>), very reactive and ready to
decay to oxygen (O<sub>2</sub>) and enhance oxygen concentration in the water.
Dissolved oxygen (DO) is a critical parameter for aquatic organisms [28]. In
fish culture, rather than temperature or other water quality parameters, DO is
the most important. In highly intensive aquaculture systems like RAS, the
ability to add dissolved oxygen to the water is the first priority to increase
carrying capacity. Therefore, ozonation in high density culture systems might
be useful for increasing DO and carrying capacity. <o:p></o:p></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoNormal">
<b>pH Changes<o:p></o:p></b></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
The pH levels increased significantly in all groups of ozone
treatment. Additionally, pH levels increased with time from the initial pH of
8.1 in average to 8.5 ~ 8.7 (Fig. 11) by 20 minutes and stabilized thereafter. <o:p></o:p></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div align="center" class="MsoNormal" style="text-align: center;">
(Fig.11.)<o:p></o:p></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<br /></div>
<div class="MsoNormal" style="mso-layout-grid-align: none; text-align: justify; text-autospace: none; text-indent: 36.0pt; text-justify: inter-ideograph;">
Ozone decays
in the water partly to reactive of OH-radicals. Therefore, the assessment of an
ozone process always involves the reactions of two species: ozone and
OH-radicals. When these OH-radicals are the dominant particles in the solution,
it is called an advanced oxidation process (AOP). The decay of ozone to
OH-radicals in natural waters is characterized by a fast initial decrease of
ozone, followed by a second phase in which ozone decreases by first order
kinetics. When the formation of OH-radicals is increased, the pH value will
also increase [29, 30]. These hydroxide ions act as an initiator for the decay
of ozone [29]:<o:p></o:p></div>
<div class="MsoNormal" style="margin-left: 30.0pt; tab-stops: dotted 5.0cm 333.0pt; text-indent: 36.0pt;">
O<sub>3</sub>
+ OH<sup>-</sup> → HO<sub>2</sub><sup>-</sup> + O<sub>2 </sub>.................................................. (10)<o:p></o:p></div>
<div class="MsoNormal" style="margin-left: 30.0pt; tab-stops: dotted 5.0cm 333.0pt; text-indent: 36.0pt;">
O<sub>3</sub>
+ HO<sub>2</sub>- → <sup>•</sup>OH + O<sub>2</sub> <sup>•- </sup>+ O<sub>2 </sub>....................................... (11)<sub><o:p></o:p></sub></div>
<div class="MsoNormal" style="margin-left: 30.0pt; tab-stops: dotted 5.0cm 333.0pt; text-indent: 36.0pt;">
O<sub>3</sub>
+ O<sub>2</sub> <sup>•- </sup>→ O<sub>3</sub><sup>•-</sup> + O<sub>2</sub> .................................................... (12)<o:p></o:p></div>
<div class="MsoNormal" style="margin-left: 30.0pt; tab-stops: dotted 5.0cm 333.0pt; text-indent: 36.0pt;">
O<sub>3</sub><sup>•-</sup>
+ H<sub>2</sub>O → <sup>•</sup>OH + OH<sup>-</sup> + O<sub>2</sub> ...................................... (13)<o:p></o:p></div>
<div class="MsoNormal" style="mso-layout-grid-align: none; text-align: justify; text-autospace: none; text-indent: 30.0pt; text-justify: inter-ideograph;">
The radicals
that are produced during the reactions above can induce other reactions with
ozone, causing more OH-radicals to be formed. In addition, pH influences the acid/base
equilibriums of some compounds and also the reaction speed of ozone.<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<b>Conclusion <o:p></o:p></b></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
In the application of ozone to enhance water quality in
aquaculture, ozone could remove ammonia and nitrite completely from the water. Although
nitrate concentration potentially accumulated, nitrate is not really toxic for
organism until the special condition. Ozonation of seawater have the
compensation to form bromate ion, but with the existence of ammonia and organic
carbon in the water, bromate forming could be suppressed depend on the ammonia
and TOC concentration. <o:p></o:p></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
However, in the real
application of ozonation in aquaculture, water was contained with complexes
chemicals and biological compound. It’s supposed to have the effect from combination
of every factor to synergistically interfere the bromate formation. Nevertheless
in separated experiment, there was no one of factor could promote the bromate
formation, those all were functioned as inhibition agent of bromate formation.
Based on this experiment result also compared to the chemical reaction in some
references, ozonation can be applied safely into RAS. By means so, bromate
formation level in the RAS with synergetic effect of existence of all component
need to be studied and it should be the major consideration while application
of ozone. <o:p></o:p></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<b>Acknowledgement<o:p></o:p></b></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 39.95pt; text-justify: inter-ideograph;">
The authors gratefully acknowledge the financial support
from Jae-Yoon Jo, Professor of Aquaculture Engineering Laboratory, <st1:place w:st="on"><st1:placename w:st="on">Pukyong</st1:placename> <st1:placename w:st="on">National</st1:placename> <st1:placetype w:st="on">University</st1:placetype></st1:place>.
Thank to Dr. In-Bae Kim and Dr. Seong-Yoon Hong and all the member of
Aquaculture Engineering Laboratory, Pukyong National University. <o:p></o:p></div>
<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-language: AR-SA; mso-fareast-font-family: Batang; mso-fareast-language: KO;"><br clear="all" style="page-break-before: always;" />
</span>
<br />
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<b>References</b><o:p></o:p></div>
<div class="MsoNormal" style="margin-left: 49.65pt; mso-layout-grid-align: none; tab-stops: 49.65pt; text-align: justify; text-autospace: none; text-indent: -1.0cm; text-justify: inter-ideograph;">
[1]. <span lang="NO-BOK">Ghomi,
M. R., Esmaili, A., Vossoughi, G., Keyvan, A., Nazari, R. M.,</span><span lang="FI"> 2007.</span><span lang="FI"> </span>Comparison of ozone, hydrogen peroxide and
removal of infected eggs for prevention of fungal infection in sturgeon
hatchery. Fisheries Science;
73: 1332–1337, Japanese Society
of Fisheries Science.<o:p></o:p></div>
<div class="MsoNormal" style="margin-left: 49.65pt; mso-layout-grid-align: none; tab-stops: 35.45pt 49.65pt; text-align: justify; text-autospace: none; text-indent: -1.0cm; text-justify: inter-ideograph;">
[2]. Rosenthal,
H., 1980. Ozonation and sterilization.
Symposium on New Development in Utilization of Heated Effluents and of
Recalculation Systems for Intensive Aquaculture. FAO EIFAC/ 80/Symp: R/8/May.
European Inland Advance Committee, Norway. 1980 – p. 5<o:p></o:p></div>
<div class="MsoNormal" style="margin-left: 49.65pt; mso-layout-grid-align: none; tab-stops: 35.45pt 49.65pt; text-align: justify; text-autospace: none; text-indent: -1.0cm; text-justify: inter-ideograph;">
[3]. <span lang="NO-BOK">Rice</span>, Rip G., & Netzer,
Aharon., 1985. Handbook of Ozone
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<b><span lang="NO-BOK" style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: NO-BOK; mso-bidi-language: AR-SA; mso-fareast-font-family: Batang; mso-fareast-language: KO; mso-no-proof: yes;"><br clear="all" style="page-break-before: always;" />
</span></b>
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<b><span lang="NO-BOK">List Of Figure</span></b><o:p></o:p></div>
<div class="MsoNormal" style="margin-left: 36.0pt; text-align: justify; text-indent: -36.0pt; text-justify: inter-ideograph;">
<span lang="NO-BOK">Fig.1. </span>Schematic
drawing of experimental system for testing oxidation effects of ozone on
ammonia, nitrite, nitrate and organic carbon.<span lang="NO-BOK"><o:p></o:p></span></div>
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<!--[if !supportLists]-->1.<span style="font-size: 7pt;">
</span><!--[endif]-->Ozone generator 4.
Air flow meter 7. Aeration stone<o:p></o:p></div>
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<!--[if !supportLists]-->2.<span style="font-size: 7pt;">
</span><!--[endif]-->Connector hose 5. Air conditioner 8. Work bench<o:p></o:p></div>
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<!--[if !supportLists]-->3.<span style="font-size: 7pt;">
</span><!--[endif]-->Pressure
gauge 6. Acrylic
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<br />
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Fig.2. Effect of 5 different concentration of ozonation on ammonia removal
rates. Superscripts of the same letter at the end of each treatment
concentration were not significantly different.<o:p></o:p></div>
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Fig.3. Changes of nitrate concentrations
during ammonia ozonation. Superscripts of the same letter at the end of each
treatment concentration were not significantly different.<o:p></o:p></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-language: AR-SA; mso-fareast-font-family: Batang; mso-fareast-language: KO;"><br clear="all" style="page-break-before: always;" />
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<br />
<div class="MsoNormal" style="margin-left: 36.0pt; text-align: justify; text-indent: -36.0pt; text-justify: inter-ideograph;">
Fig.4. Relationship between nitrite
removal and nitrite concentration in seawater with 5 different ozone treatments.
Superscripts of the same letter at the end of each treatment concentration were
not significantly different.<o:p></o:p></div>
<div class="MsoNormal" style="margin-left: 36.0pt; text-align: justify; text-indent: -36.0pt; text-justify: inter-ideograph;">
<br /></div>
<div align="center" class="MsoNormal" style="text-align: center; text-indent: -.55pt;">
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Fig.5. Nitrate oxidation rate treated by
five ozone concentrations. Superscripts of the same letter at the end of each
treatment concentration were not significantly different<o:p></o:p></div>
<div class="MsoNormal" style="text-align: justify; text-indent: -.55pt; text-justify: inter-ideograph;">
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Fig.6. Change of TOC concentration in the
water treated with five different levels of ozone. Superscripts of the same
letter at the end of each treatment concentration were not significantly
different<o:p></o:p></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-language: AR-SA; mso-fareast-font-family: Batang; mso-fareast-language: KO;"><br clear="all" style="page-break-before: always;" />
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<br />
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Fig.7. Bromates formation for 24 hours of
ozonation process. Superscripts of the same letter at the end of each treatment
concentration were not significantly different.<o:p></o:p></div>
<div align="center" class="MsoNormal" style="margin-left: 36.0pt; text-align: center; text-indent: -36.0pt;">
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<br /></div>
<div class="MsoNormal" style="margin-left: 36.0pt; text-align: justify; text-indent: -36.0pt; text-justify: inter-ideograph;">
Fig.8. Relationship between ammonia
concentrations and bromate formation during the oxidation treatment of ammonia.
Superscripts of the same letter at the end of each treatment concentration were
not significantly different<o:p></o:p></div>
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Fig.9. Increment of bromate formation
during oxidation of TOC treatment. Superscripts of the same letter at the end
of each treatment concentration were not significantly different.<o:p></o:p></div>
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Fig.10. Increment of DO concentration
during 5 different levels of ozonation. Superscripts of the same letter at the
end of each treatment concentration were not significantly different.<o:p></o:p></div>
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Fig.11. Changes of pH level during
ozonation process. Superscripts of the same letter at the end of each treatment
concentration were not significantly different<o:p></o:p></div>
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Anonymoushttp://www.blogger.com/profile/04198624550231718406noreply@blogger.com0tag:blogger.com,1999:blog-7940291228123511853.post-25711474117061213772013-01-23T22:03:00.002+09:002013-01-23T22:55:32.613+09:00Emergy Evaluation of the IBK-recirculation aquaculture system<!--[if !mso]>
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<b style="mso-bidi-font-weight: normal;"><span lang="EN-US">Emergy Evaluation of the IBK-recirculation
aquaculture system for fisheries production in Korea</span></b></div>
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<b style="mso-bidi-font-weight: normal;"><span lang="EN-US">Puji Rahmadi, Suk Mo Lee*</span></b></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<i style="mso-bidi-font-style: normal;"><span lang="EN-US">Department of Ecological Engineering, Pukyong National
University</span></i></div>
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</div>
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<b style="mso-bidi-font-weight: normal;"><span lang="EN-US">Abstract</span></b></div>
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<span lang="EN-US"> A continuous
decrease in fisheries capture production led Korea to pay greater attention on
aquaculture. </span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">The
Intensive Bio-culture Korean (IBK)-system has believed as a solution method for
fisheries production.<span style="mso-spacerun: yes;"> </span>This study was
trying to analyze the energy and emergy flow inside the IBK-system. Further
analysis was done with emergy indices calculation to predict the future
application of IBK-system. The result of study shows
the energy required in fish harvested
from IBK-system (fish transformity) was 2.26E+09 J/g fish. This number represents it is needed more energy to produce per
gram fish in IBK system compared to conventional fisheries in Ecuador and in
Sri Lanka, but less energy needed than intensive aquaculture in China.<span style="mso-spacerun: yes;"> </span>The EYR in this study was 1.02, even though
the number is relatively low, this system </span><span class="hps"><span lang="EN-US">has accepted to be </span></span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">consumer products or transformation steps than actual energy sources
since the value is higher than 1. The value of ELR and EIR was pointed in the
same number (68.74) because the system doesn’t have
non-renewable sources, which is purchased input compared to renewable
environmental loading (F/R). System more likely depend on purchased input which
was indicated by very high EIR but in contrary relatively low EYR.</span><span lang="EN-US"> Even though the EYR is low, EIR and ELR are high, and ESI has shown
high risk condition, it doesn’t mean the system is not feasible to operate. In
the real condition, higher price per kilogram fish could bring higher benefit
in term of economic, therefore this system only suitable to apply in developed
countries with limited area, limited of natural sources and fish consumptions
relatively high.</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";"></span></div>
<div class="MsoNormal" style="margin-top: 6.0pt; text-align: justify; text-justify: inter-ideograph;">
<b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">Keyword: Emergy, Intensive Bio-culture Korean System,</span><span lang="EN-US"> </span></b><b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">emergy indices</span></b></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
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<b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">1.<span style="font: 7.0pt "Times New Roman";">
</span></span></span></b><b style="mso-bidi-font-weight: normal;"><span lang="EN-US">Introduction</span></b></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 36.0pt; text-justify: inter-ideograph;">
<span lang="EN-US">Korea is a peninsula with long coastline
and covering huge number of islands within the territory. Endowed with an
abundance of fisheries resources, Koreans have developed a distinct fish food
culture-based on marine products (FAO, 2003). Aquaculture production has
increased from 667,883 tons in 2000 to 839,845 tons in 2003 and 935,650
tons in 2009 (FAO, 2003; KOSTAT, 2010). Aquaculture has become a very
important sector in the Republic of Korea. It provides food security, revenue
and employment to the country. With the development of new technologies,
aquaculture production has increased more than 40% of total fisheries
production in 2010. In
Korea fisheries production generally drives to the degradation of water quality
in coastal, causing seawater intrusion and some places event reducing the
quality of drinking water, and degradation of natural stock. Therefore,
fisheries production should be practiced with waste water
treatment for the reduction of pollution in the environment. The best
solution believed by the ecologist and fisheries realm to produce sustainable
fisheries production in the future is feeding aquaculture in inland water and
in the protected coastal seas with the certain aquaculture method. Therefore we
need to develop the technology of environmentally friendly aquaculture systems
as completely as possible not only to preserve our natural environment but also
to sustain aquaculture production. </span></div>
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<div style="text-align: justify;">
<span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";">Korea
has a small land area and highly limited </span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">for </span><span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";">water resources. The
pollution of water and air has been a serious problem for the survival of the
nation.</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕"; mso-fareast-theme-font: minor-fareast;"> Therefore several fisheries production
method applied in some country like China, Sri
Lanka, Ecuador or Philippine were not applicable in small developed country
such as Korea and the other country with similar characteristic. In Philippine,
Sri Lanka and even Ecuador (Bergquist, 2008; Odum&Arding, 1991), the
conventional method and traditional way were still dominant, but in China they had practicing intensive aquaculture
but still using huge area to produce fish in the aquaculture (</span><span lang="EN-US">Li, L., et al, 2010</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕"; mso-fareast-theme-font: minor-fareast;">). </span><span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";">In l998 the central
government </span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕"; mso-fareast-theme-font: minor-fareast;">of Korea </span><span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";">declared that all cage farms
in the inland waters be discontinued after the terms originally permitted,
almost all of which fall in before l999. Majority of the cage fans has already
been dismantled. The bulk of freshwater fish has so far been produced from the
net cage farms. The only substitution for outgoing fish production from the
cage farms is expected by the development of the closed recirculating fish culture
system which should be environmentally friendly as well as economically
feasible especially in the era of the global open market.</span><span lang="EN-US"> Recently recirculation aquaculture system (RAS) is well developed
regarding as the best solution to substitute in fisheries production method. Considering
the limit of water supply for fish growing experiments, many of researchers
have been using closed recirculating aquaculture systems (RAS) for various fish
growing experiments in the laboratory. This recirculating aquaculture system
has been developed and redesigned as an Intensive Bio-production Korean System
(IBK System). </span><span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";">The
IBK system, which was originated from the system by </span>Professor In-Bae Kim (Korea-US Aquaculture, 2008) <span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";">has continued
improvement though modification up to now. Main principles for the system
development of the </span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">RAS</span><span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";"> have been based
on the basic principles for the high-density fish culture. The system design is
very simple and does not employ highly sophisticated parts. The system
structurally consists of rearing tanks, small sedimentation tanks, a pumping
station, and multiple sections of the biological filter. </span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕"; mso-fareast-theme-font: minor-fareast;"></span></div>
<div class="MsoListParagraphCxSpLast" style="margin-left: 0cm; mso-add-space: auto; text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">In order to increase fisheries production, fish farmer should
consider the risk and negative effect of production activity to the
environment. Therefore, before IBK-system could be well applied, it is better
to explore the benefit and feasibility from the system. In this research, an
aquaculture system of IBK-system was analyzed and emergy analyses were done to
determine the efficiency and potential of sustainability. In the economic realm,
typically we will easily calculate the amount of capital and yielded production
to predict or analyze the benefit, yet when we try to compare the economic and the
impact of production activity into our environment, we must be facing the
constraints in terms of units, proportion and so on, here therefore the EMERGY
method could be apply. </span><span lang="EN-US">Odum (1983, 1988, 1996) using
the principles of Energy Systems Theory developed a comprehensive ecological
economic evaluation method (i.e., emergy synthesis) to evaluate different energy,
material and monetary flows in terms of their emergy. Emergy is defined as the
amount of available energy of one type previously used up directly and
indirectly to make a product or service (Odum, 1996), usually expressed as solar
emjoules (sej). Emergy per unit values, i.e., transformity (sej/J), specific
emergy (sej/g) and emergy/money ratio (sej/money unit), can be used to convert
energy, material and monetary flows of all kinds to solar emjoules allowing
direct comparison, addition and subtraction among them (Lan et. al., 2002).
Thereby, emergy analysis can evaluate properly environmental contributions
formerly missing from economic evaluations (Odum, 1988, 1996, 2007; Lanet. al.,
2002). </span></div>
<div class="MsoNormal" style="tab-stops: list 21.3pt; text-align: justify; text-indent: 35.45pt; text-justify: inter-ideograph;">
<span lang="EN-US"><span style="mso-tab-count: 1;"> </span>Since the IBK-system has considered as ones of
solution methods on fisheries production, analysis of system efficiency are needed.
The analyses were purposed on viability, benefit, and sustainability potentials
from the system. In order to analyze economic and ecological factor, emergy
analysis were then try to apply. Emergy analysis had completed with some emergy
indices calculation, to describe and to predict the present condition also thereafter.
Based on emergy analysis and those indices, some recommendations are expected
for the application of IBK-system.</span></div>
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<br /></div>
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<br /></div>
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<br /></div>
<div align="center" class="MsoListParagraphCxSpFirst" style="margin-left: 0cm; mso-add-space: auto; mso-list: l21 level1 lfo20; text-align: center; text-indent: -.55pt;">
<b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">2.<span style="font: 7.0pt "Times New Roman";">
</span></span></span></b><b style="mso-bidi-font-weight: normal;"><span lang="EN-US">Material and Method</span></b></div>
<div class="MsoListParagraphCxSpMiddle" style="margin-left: 0cm; mso-add-space: auto; text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">Generally there </span><span lang="EN-US">are</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">
three main approaches to do emergy analyses (input, process and output), but
various intermediate forms exist. Therefore emergy analysis can be done simply
through some steps, which are; determining the boundary, defining the important source, listing the process, diagraming
energy flows, composing emergy table,
and indices calculation.</span></div>
<div class="MsoListParagraphCxSpMiddle" style="margin-left: 0cm; mso-add-space: auto; text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;">
<span lang="EN-US">In emergy analysis, each form of energy supporting the system will
be translated into the same energy quality (mostly solar energy). The
translations of energy could be done through conversion ratio, this ration
called “transformity”. Base on the transformity, various kind of energy could
be converted into the same kind of energy and can easily analyze each
contribution to the system. In this study we also try to collect the raw data from
each energy supporting the IBK system, and converted those data into solar
energy equivalency. Furthermore, emergy indices are used for better evaluation
of the concerned system. These indices indicate various performance of the
system in term of efficiency and sustainability (Campbell, 1997). </span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">Associated with an
aquaculture, some basic indices of ecological interest (Odum and Odum, 1983;
Ulgiati et al., 1995; Odum, 1996; Brown and Ulgiati, 1997; Ulgiati and Brown,
1998) are calculated, those were Emergy Yield Ratio (EYR), Emergy Investment
Ratio (EIR), Environmental Loading Ratio (ELR), and Environmental
Sustainability Index (ESI).</span><span lang="EN-US"></span></div>
<div class="MsoListParagraphCxSpMiddle" style="margin-left: 21.3pt; mso-add-space: auto; text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoListParagraphCxSpMiddle" style="margin-left: 42.55pt; mso-add-space: auto; mso-list: l21 level2 lfo20; text-align: justify; text-indent: -24.55pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">2.1.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span lang="EN-US"><span style="mso-spacerun: yes;"> </span>Application of IBK- system</span></div>
<div class="MsoListParagraphCxSpMiddle" style="margin-left: 0cm; mso-add-space: auto; text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;">
<span lang="EN-US">The IBK system has been successfully tested to grow a number of
freshwater fish species including tilapia, Israel strain of common carp,
channel catfish and eels both <i>Anguilla japonica</i> and <i>A. anguilla, </i><span style="mso-bidi-font-style: italic;">but </span>in this research, tilapia farming
is the major species cultured in the experiment system;
therefore tilapia culture using IBK-system has been evaluated by emergy analysis.
IBK-system subjected for this experiment was located at Sangju, Gyeongsang Bukdo, South Korea. </span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">The system was built 30 years ago and
will last long for 10 years more before the renovation. This system was made
and designed for </span><span lang="EN-US">growing of fish at high densities with
the minimum natural sources. Author was visiting, survey and interviewing the
system in charge person. System was built on the area of 750 m<sup>2</sup>,
inside the greenhouse with phenyl as a cover. There were 24 culture tank with
some sediment chamber and bio-filter tank. The system could hold 400 m<sup>3</sup>
of fresh water as a media culture. This system was using daily exchange water about
1% of total volume, and whole water body was changed annually. </span></div>
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<span lang="EN-US"><img alt="" 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" /> </span></div>
<div align="center" class="MsoListParagraphCxSpMiddle" style="margin-left: 0cm; mso-add-space: auto; text-align: center; text-indent: 35.4pt;">
<span lang="EN-US">Fig.
1. Sketch of IBK-system</span></div>
<div class="MsoListParagraphCxSpMiddle" style="margin-left: 0cm; mso-add-space: auto; text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoListParagraphCxSpMiddle" style="margin-left: 0cm; mso-add-space: auto; text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;">
<span lang="EN-US">Normal density of tilapia in this system has been at least 5% of the
water volume in the rearing tank and could keep on normal growth until higher
than 10% to 20% of water volume though the growth rate was decreased.
Fingerling was used as a starter in a culture with the number of 500 individual
per tank, along with the culture time (1 year) it will have survival rate about
80% and could achieve the harvesting size ±850gr/indv. Instead of fingerling,
fish farmer should prepare the suitable feed for fish. In this experiment, farmer divide
feeding regimes into 4 different group, those were <100 gr, <250
gr, <500gr, and >500 gr of body weight (BW), with the feeding ration of
2%, 1%, 0.7%, and 0.5% of BW respectively. Using those different feeding
regimes, farmer counted to spend 7941 kg of feed/yr. </span></div>
<div class="MsoListParagraphCxSpLast" style="margin-left: 0cm; mso-add-space: auto; text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">Korea is a </span><span lang="EN-US">country</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">
with the winter season; it is always being the problem for aquaculture in
temperate country. To solve this problem, farmer in </span>this experiment <span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">using boiler to keep the water temperature. Boiler consumes 300 L of
fuel in average for a year.<span style="mso-spacerun: yes;"> </span>The other cost which should be loaded
by farmer were electricity as much 3650 kWh/year, labor cost, system maintenance cost </span><span lang="EN-US">1.5</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";"> million</span><span lang="EN-US" style="font-family: "Cambria Math","serif"; font-size: 10.0pt; mso-bidi-font-family: "Cambria Math";">₩</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">/year, water quality and diseases controlling cost for 1.5 million</span><span lang="EN-US" style="font-family: "Cambria Math","serif"; font-size: 10.0pt; mso-bidi-font-family: "Cambria Math";">₩</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">/year. Detail of cost and energy spends by farmer will then converted
into emergy unit which is listed in the Table 1.</span></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoListParagraphCxSpFirst" style="margin-left: 42.55pt; mso-add-space: auto; mso-list: l21 level2 lfo20; text-align: justify; text-indent: -24.55pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">2.2.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span lang="EN-US">Energy Diagram</span></div>
<div class="MsoListParagraphCxSpLast" style="margin-left: 0cm; mso-add-space: auto; text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;">
<span lang="EN-US">For </span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">better
</span><span lang="EN-US">understanding, evaluating, and simplify, procedure of
emergy analysis always start with diagraming the system of concern and followed
by emergy table. The diagram of energy flow in the IBK-system were then has
composed to figuring the energy circulation in the system.</span></div>
<div class="MsoNormal">
<br /></div>
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<span style="mso-list: Ignore;">2.3.<span style="font: 7.0pt "Times New Roman";">
</span></span>Emergy Table</div>
<div class="MsoNormal" style="text-align: justify; text-indent: 35.45pt; text-justify: inter-ideograph;">
Data which was collected in this experiment were listed into
emergy table, priority has been made, and all energy was converted into solar
energy equivalency using some transformity which has been published in some
references.</div>
<div class="MsoNormal" style="text-align: justify; text-indent: 35.45pt; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoListParagraphCxSpFirst" style="margin-left: 42.55pt; mso-add-space: auto; mso-list: l21 level2 lfo20; text-align: justify; text-indent: -24.55pt; text-justify: inter-ideograph;">
<span style="mso-list: Ignore;">2.4.<span style="font: 7.0pt "Times New Roman";">
</span></span>Emergy Indices
</div>
<div class="MsoListParagraphCxSpMiddle" style="margin-left: 54.0pt; mso-add-space: auto; mso-list: l21 level3 lfo20; text-align: justify; text-indent: -36.0pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">2.4.1.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span lang="EN-US">Emergy </span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">Yield
Ratio (EYR) </span></div>
<div class="MsoListParagraphCxSpLast" style="margin-left: 0cm; mso-add-space: auto; text-align: justify; text-indent: 35.45pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">EYR is </span><span lang="EN-US">the</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">
ratio between total emergy feedbacks with the total emergy yield. </span><span lang="EN-US">In EYR, t</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">o avoid losing out from the point of view of energy, the output of a
system should be at least equal to the investment that is when the emergy yield
ratio is equal to one. The higher the value of this index, the greater the
return obtained per unit of emergy invested.</span></div>
<div class="MsoNormal" style="margin-left: 127.6pt; text-align: justify; text-justify: inter-ideograph;">
<span lang="EN-US">EYR = Y/F</span></div>
<div class="MsoNormal" style="margin-left: 127.6pt; text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoListParagraphCxSpFirst" style="margin-left: 54.0pt; mso-add-space: auto; mso-list: l21 level3 lfo20; text-align: justify; text-indent: -36.0pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">2.4.2.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">Emergy Investment Ratio
(EIR):</span></div>
<div class="MsoListParagraphCxSpLast" style="margin-left: 0cm; mso-add-space: auto; text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">EIR is </span><span lang="EN-US">the</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">
ratio of purchased resources to renewable and nonrenewable local inputs.</span><span lang="EN-US"> </span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">It
will tend to be economical if its ratio is less or equal to the one prevailing
in the region (Odum, 1996).</span><span lang="EN-US"> </span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">The less the ratio, the less the
economic cost, so the process with lower ratio tends to compete, prosper in the
market (Li, L., et al., 2010).</span><span lang="EN-US"></span></div>
<div class="MsoNormal" style="margin-left: 127.6pt; text-align: justify; text-justify: inter-ideograph;">
<span lang="EN-US">EIR = F/(R+N)</span></div>
<div class="MsoListParagraphCxSpFirst" style="margin-left: 0cm; mso-add-space: auto; text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoListParagraphCxSpLast" style="margin-left: 54.0pt; mso-add-space: auto; mso-list: l21 level3 lfo20; text-align: justify; text-indent: -36.0pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">2.4.3.<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-US">Environmental</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";"> Loading Ratio (ELR):</span></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">ELR
</span><span lang="EN-US">is given</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";"> by the ratio from purchased and nonrenewable local inputs, to the
emergy from renewable resources. It is an indicator of the pressure of a
transformation process on the environment and can be considered a measure of
ecosystem stress due to a production. </span><span lang="EN-US">ELR = <u><</u>
2 indicate of relatively low environmental impacts, when the number of </span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">ELRs = 3 – 10 indicate of
moderate environmental impacts, otherwise ELRs = <u>></u> 10 indicate of
extremely </span><span lang="EN-US">high</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";"> impacts to the environmental due to largeflows of concentrated
nonrenewable emergy (Brown and Ulgiati, 2004).</span><span lang="EN-US"></span></div>
<div class="MsoNormal" style="margin-left: 127.6pt; text-align: justify; text-justify: inter-ideograph;">
<span lang="EN-US">ELR = (F+N)/R</span></div>
<div class="MsoNormal" style="margin-left: 127.6pt; text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoListParagraph" style="margin-left: 54.0pt; mso-add-space: auto; mso-list: l21 level3 lfo20; text-align: justify; text-indent: -36.0pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">2.4.4.<span style="font: 7.0pt "Times New Roman";">
</span></span></span><span lang="EN-US">Environmental</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";"> Sustainability Index (ESI)</span></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">This
</span><span lang="EN-US">index</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";"> is used to analyze the environmental and ecological sustainability in
order to support the viability (continuity) of process.</span><span lang="EN-US">
The larger the ESI, the higher the sustainability of a system.</span></div>
<div class="MsoNormal" style="margin-left: 127.6pt; text-align: justify; text-justify: inter-ideograph;">
<span lang="EN-US">ESI = EYR/ELR</span></div>
<div class="MsoNormal" style="margin-left: 127.6pt; text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoNormal" style="margin-left: 127.6pt; text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoNormal" style="margin-left: 127.6pt; text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoNormal" style="margin-left: 127.6pt; text-align: justify; text-justify: inter-ideograph;">
<br /></div>
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<b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">3.<span style="font: 7.0pt "Times New Roman";">
</span></span></span></b><b style="mso-bidi-font-weight: normal;"><span lang="EN-US">Results and Discussions</span></b></div>
<div align="center" class="MsoListParagraphCxSpFirst" style="margin-left: 0cm; mso-add-space: auto; mso-list: l21 level1 lfo20; text-align: center; text-indent: -.55pt;">
<br /></div>
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<br /></div>
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<span style="mso-list: Ignore;"> 3.1.</span>Energy Diagram</div>
<div class="MsoListParagraphCxSpLast" style="tab-stops: 42.55pt; text-align: justify; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-no-proof: yes;">
</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";"></span></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<br /></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US"><img alt="" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAcQAAAEbCAIAAADLVWOyAAAgAElEQVR4nOy9d1hVxxY3TN6b5N43uSWxoaCCggiCIqggvRcpSldRFEREQVGw914TG4LdoCiWKF1sWFFRqQICdkUUFUF6Pefs+f5Yz1nfOvsAQaN59V7WHzyHvWfPnj2z5jerzRoZ9t9FIpFIJBJxHMdxnEAggB+MMaFQyLvIcVxzczPHcSKRSCAQiMQkFAoZY/DUJyFeSziOEwqFzc3NIpEIy9TU1Dx+/DgxMTE0NHTp0qU+Pj4jRowYOXLkrFmzVq5cuXv37lu3bpWUlNTW1tKn8KOgTngRtB+KQVfAS/GHdAuFQiGUhL9CoRA7pLm5GZ6CHy12OC0AVWFt0KpP258d9HGErMIIP8BgMUlWoTzGqwH/Ut5r59vb07zWrvOa1P73/pUk8/+6AR9PtDcpiwAc0PmMENkaNTU1NTQ0IJpgDTiEH40IgNSI40wMN3D3zZs3d+7c2bp1q6mpqaKiopqa2tChQ4cPH25hYeHk5DRq1CgTE5MhQ4Zoa2v37dtXSUnJy8vr5MmTubm59fX1TMz3DQ0N8HVNTU08mMYGtwGm0qsIdppAIGhqaqKFa2tr379//+bNm+fPnxcVFb1//x76TbpC/FiE5g/tug76JCQ94jAcyO20pPTqyyThFZdthFTpkf1QpMOJxnsRXmyNvjSm+orBFIkiBY40FYuA6urq3rx58+TJk/v37z98+LC4uLi6upqCLMdxjY2NMPkRjv9Mw6iYzAjTMMYqKiqOHz9uaWkpLy8/ePBgV1fXAwcOFBUVIUoysdDHGKuqqkpLS1uzZo2NjY2qqmrv3r0nTZp069YtaLyQEO8tdD603YHYbwDHFEOrq6uzsrLi4uLWrVs3ffp0Dw8Pc3NzQ0NDKysrV1dXX1/f5cuXHz16ND09vaysjPftjLHm5maBQICCLZ0Mf6ZvO6idJN3VOEGk5wiTlAR5z+K6y4hkyqS4Sxqm8br0Fd6LcMrQlwJv47ukK/9C2OnrBlPetKRjA1eampoyMjIiIiKWLFni6elpbW2to6OjpaWlq6trbGw8duzYWbNmbdu27cqVK2/fvqU1Sw/qxzWPibmBMQbCWlNT04ULF0aNGiUrK+vq6hoVFSX9avp1vDrv37+/bds2XV3dnj17zps3LycnhzEGCwBgFi4G7W8nTioep2ZmZu7bt8/T03PAgAF9+vQxMDBwcHAYM2aMj49PQEDAlClTRo8e7ejoaGJioqSkpKKi4u7uHhoampqaClgMMIpyEK9bOuizUtudjEtve2CIIxobWH6AW1D/aA9utlE5J6lKSi+3nKTE+sWux18lmGI/Ui2DrqiMsTt37uzYsWP8+PFKSkoKCgo2NjajR4/29fUNCQlZvHjxvHnz/P39vby87O3tVVVVlZWVbWxsVq9effHixYaGBqiBZ/L7UJ0Cx7upqQl4jjH24sULPz+/Hj16WFlZxcTE8AoD9DDxss+IeYG3SFRUVGzYsGHgwIH9+/cPDQ2Fiw0NDYBiwJ34FdL2Jul2orUULmZnZ8+ZM0dRUVFZWdnJyWn9+vVpaWnYMzwSCASZmZnbtm3z8PBQU1Pr3bu3n59fSkoK7UY6ST6oGzvo44i3LkpPGd5y+/79+ydPnmRmZl66dOnq1as5OTkvX76sqamhZRBJ0XJFBds25ggnpb9T1R45sD1CgPSM4K3TraHwX0BfH5jS3kfOoEBQUFAwd+7cnj17qqiouLq6rl279vr1642Nja1VWFhYuHv3bj8/P01Nzc6dO48fP/7atWtwC+VTaotsDQ54g4rqSWNjI9xKS0vT09NTUlLav39/XV0dEwsILeo1jDAKNRegOMAYu3//fkhIyA8//DBjxox3797R9+Ij0lq/9LuoJv7q1avVq1f36tVLRUVl1apVeXl5bQwEY4znSXv48OGWLVu0tbW7du06e/bs3NxceAvYc/F7qfWjgz45UfajXc1xHKAhFHv16tXRo0cXL17s6elpaWk5ZMgQNTU1JSUlZWXlAQMG6Onp2djYTJo0adOmTRcvXqytrYWnwG0LUgJHDEScpFwp3R7EX9owaVMDx3ElJSWFhYUpKSmxsbFxcXE3b968f//+27dvW5tiFBB4Qvef1y/bT18rmAIEINZA91VWVq5atWrAgAF9+/Zdu3ZtZmYm8g12OoAR4BFvJXzy5MmOHTuGDh0qKysbEBDw6NEjvAWY2PYqJz3SFPiOHTvWv39/Y2NjUMyhTmBH+l08glsUGeERgD+4e/DgQXl5eTs7u8ePH8NHAcAhbOE3SoMpTC38ruTkZH19fYqDrCUpANkUWoWNwXqePn26du1aQOSTJ0/CReh2unh0gOlnIgQRkThShYmjSqBATEyMr6+vrq5u586dBw0a5O3tPW/evPXr14eGhkZERERERGzdunXVqlXBwcEODg59+vSRl5e3tLRcsGBBVlYW1IA2JRBXYWR5U4D+lsY7HsyVlpZGRkbOmjXL2dlZR0dHXV0ddEqwIKmpqenp6Tk5OQUHBx8/fry0tBSe4skKaO9C4VfaKPz56IsD0xZXNt51yivYmzk5OWZmZr17916wYMHdu3elH6SPUKDhSUnPnj3bunVrv379NDQ0kpOT4SLwCo1warHljCAOxcoDBw506dJlypQpr169YlI2SmmMbhFrUEZGmMYCqampw4cP19TUvHfvHrQWvxqBlReehesQuob27t3bvXt3Kyur69evwxVhK+EvdAGAxiP7wiIHd+/evTt+/Phu3bqtXbsWP4HqEx30cdTG7ODE6gICHLI9lDx//ryjo6O8vLypqen69evj4uLy8/PbGI7Kyso7d+5ERUXNmDFDXV1dUVFxzpw5T548gbvU+SkiRk+6XvImIK+pjLG4uLixY8cOGTKka9eumpqavr6+W7Zs2b9//7Fjx2JiYk6dOnXkyJH9+/dv2rTJz89v4MCBsrKyw4YN8/HxSUxMxHZSJRVfBJ3Qxpz9tPSFgmnbZUTiqB2UuZKTk/v376+trX3lyhW4Qhco3ogiuCATCAQCEDzx1fn5+WPGjOnVq9euXbsY8Xe3hi+MjCJUi/LapUuX5OTk5s+fD4oSXAR25z5EDaEQjG9BwfPJkyfDhw83MjICdxagJEckcSyMijnIudCkxYsX//TTT4GBgegNQwm3je+l13FCUo9TTU3N6tWr//nPf/r5+eHng92DI4JSB30QtcgwIkmCEadcXVhY6OnpKSsra2JicuLECVjXpWumajJPcyosLFy3bp2ioqK6uvqKFStgQJHTGFH1OGJOxb8oNmKdly9ftre379mzp6mp6YYNGy5evHj//n0IaGmRmpubHz16dPbs2S1btpiamvbo0cPV1RWNcpw4cpwxBmE5otZdZJ+DvkQw/cMyIklb9f79+xUUFOzt7YuLi+EKdCUKXzzi2ZIoNiHCMsaqqqoWLVrUqVOn4OBgVGOl11VewyhqM8YKCgq0tLQ8PT3Be1NfX4/NoIzbHgKuxbmBz+KPnJwcVVVVf3//yspKmAlwHd2vKERwRElnjC1YsOD777/ftm0b8DGiLZU7/hBM8QeuJYDUIpHo4MGD//rXvyZNmgRX4O5fqX/9txInqSJQcaGxsZGG9548eVJJSUlDQyMiIgLXS068nUSaJ+E31ADzAl9aUFCwZMmSHj16jBgx4vnz50zM9jz5AGtjYlxG4YYx9ujRo7Fjx/bq1cvIyCg6OvrNmze8TxNJun+lZ0pJSUl0dLS+vn7v3r3Hjx9///59+iLUC1ubqp+DvjgwbQ/RAT5y5IicnNysWbMqKiqYOHAdUaahoUFauaDASsEUxw+Rurm5ee/evT/++OOiRYvg1W0MDNaDV0pKShwdHfX19cH8CgjS2NiIUZwfFMOESwjKlfiZdXV18DsmJqZHjx4bN25kRDqguIl/kcl27dr1j3/8Y+/evfCWpqYm9DC0gaRYiYgYT+iVpqamxsZGDACIjo7+4YcfFi5cyKT8uR30cdTiSiYitiBYGhsbGzdt2tSlSxdPT0+UNtApj8szDh/VeLAM3ELnlVAovHjxoqqq6qBBg9AUBoMuIuZ1IfFSiEQiZIaEhIQ+ffoMGjQoKioKHKfQTpHYeAU/sG2gzUABkaQZ9O3bt1FRURCQc+7cOTAxURsu14ol7XPQ1wSmlHXg99WrV1VUVPz9/aurqxljsBbhiPJ6s0UwpeIqDACwDjqpGGM7d+784YcfwsLC4N/WBobiNVxZtWqVrKwsWB6QS6i6/UGaPkei/PBfJpZY0VK5Zs0aOTk51H0Y2SnIiC8LAD0pKemHH35Yvnw53EXopH3VWtt4H0tfQT1g2I3h4eE//vjjjh07eDONV08HtZN4PcYRIzgu6pWVlZMnT+7Ro8emTZsQy3jxv9TCziRDRygbILaKiJvRycmpV69eBw4c4MRqPiraQrIpmYmtWw0NDeHh4d26dXNycnr69Ck2njK2kJhfKaGBCOvEHnjy5ImDg0OPHj127twJn4nQLx3m/PnoKwBTTtLphKP+8OHDIUOG2Nvbo1cHffQi4mJqf1fikoiwhWg1f/78Tp06nT17lpPSp+jAAzNBM7Kzs+Xk5FavXo28iIstE7MsdRRwUiSUDB8RSbrOEUyFkk4GgUCgo6NjY2MDH4IKPrwRVnio4dGjR2pqap6enhCnxXsp9glHRFped7XWsSJisaWIvGDBgu7du2MIKkq+vAncft7oIEb4FkccOKGxsTEwMFBBQSE+Pp4HlPhXILXTl7dAoqiBPI8MyRirrq6eN29e165dT5w4AY+IxC5NeBDtWoyxhoaGmTNn9ujRY8WKFbCWg9wjPeg4m0C/ge9CpZOaJnCpbmhoWLZsWY8ePWbPns3DXPzxuelLB1NpiIF+qa2tdXZ2VlRUhEBIClIw8HClNSTl1YlXUCzFRRJGvby83NnZWUtLC4xEiDvUwIQXoRm+vr5aWlqlpaWg7WLzgBUQQAEcRZKCM60fuQrtttSxxlqy5MbHx8vKykZHR2PPwEvBjokcHBAQoKWl9fLlSyYWnFEe/1AwpX3IiIUB6kRppayszNbWdtSoUSA+gOzAE1E/Gev8zxDiC7gKkAPXrl0rKyt75MgRJtbScPlHzb2NPpceUxGxpGOB+vp6Pz8/BQUFCALhxI4mOjuAr5YtW9atW7fjx49D/RimCrav2trampqa6urquro61BEp+jOxtR2+tKGhgWppUOeRI0e6dOmycuVKuM7zKn9u+qLBlJOURqnQdOrUqX/+859xcXFM3MUIo7CC8YQjjshHQCJJTYHyFj5CwzDz8vIUFRVRIxa1FBKACJKamtqlS5ft27dDYWm3uPRuInoX384RjYlOBiGJn8XH8W9DQ4OLi4upqWlNTQ3tN9oJqampXbt2hVgF/EyhVKxC25ONd4uHrVTeRIH67NmzXbt2jY+PZ8SxIOxwRn0sYR9iGBCwRHR0dI8ePdatW0cNl/AIimnSA80bQfqDt97Tql69emVvb6+trQ2iBiyfsHIjJ4B2v2PHDlot4nJaWlpQUFBISIi/v39UVBRuEGCSuwEROlEHbWxsRHEEbm3durVTp04HDhygzf6kXd4qfXFgKj3AKFgJxU6n2tpafX19V1dXgBvUlKkxkarDUBuVIpkYhnj4xciYiYhyDTWsXLmyZ8+e4DdEFGCEz4TiPfje3t76+vr19fUUASkvCoXCs2fP7t27d9euXXv37o2Oji4vL6fABwoOFgbJVEDy/WRmZubm5rYmYqSkpMjKyoIUgFiMK3lzc/Po0aMtLS1ra2vhQaifI3pcO8dI+l/pkqhnwdsnT55saGhYVVWFo4brkLDd7rj/ZaIci30LCgd04PPnz5WUlDw9PeEiLpaUmaUXQrzb4oByLa2vOAUKCgoUFRX9/f2xPF0jL1++LCsrGxISgpZ9ymYCgWD16tX9+vWbN2/ejBkzIiMjEaM5cZzTu3fv6urq6uvr6+vrIZ+OQCCA3a4YBYUTJzg4WEFBge5j/CTd/of0xYGpNHEkVybg48GDBzt37gyOnbanH8VHineUaejay4hChPMcUezly5fq6up+fn643mI9IpIAoq6uTkVFZcmSJaylqGb4XVtb279/fyMjI3d39xEjRvj6+qKnFYh6wIBAQ8d/YcsKayUN2vv3742NjadNm8bE8aQcEQ8vXbokLy+flJSEj1PRlXYd7UlpiYa38vHuUhIRG/Tdu3eVlJT27dtHY6pRp2tjNDsIifYwje4EqRBs04WFhUy8+xOVp9aWPex86ZWS91t6HYXpGRYW1qlTp9TUVEbC4xhjlZWVurq6ZmZmr1+/pq1FlhMIBBs3bvT29q6vrweN7eHDh4sXL547d+727dsTEhLmzZu3cuXKt2/fnjx5MiQkJCgoaO3atUuWLJk6dSrs00N7MXBRRUWFoaGhnp4e1PaXrdBfAZgCcRwHgl5tbe3QoUN9fX0ZCXALDw9fsGDB0qVL58yZs2XLllu3biUmJkKqTcQITkoCRQaiUCIk/hzMyIfxTFu3bu3du/eDBw+wVYikuOqeP39eWVk5IyODSYrDFM3fvXs3bNiw3Nzc0tLSly9flpSUNDc3l5eXb9u2bd26dSD8ikSiysrKzZs3r127FoKrBAJBSUnJli1bDh486Ovr++uvvzIpaMNXrFmzxsDAoLy8nIk5GO0Gvr6+pqam0J9C4nVFQaPF/m9DWmFS4MsrJhQKgbOhwz09Pc3MzHAU6MrRRj0dhMQDUwwbYozduXOne/fusNCiWoPqUYuVULUdBYU/bADOIBi7+vp6ExMTR0dH4CKM9Q4NDf3Pf/4DFlVYPtEQhzX88ssvvXv3HjVqlKmpaV5eXk5OzqpVq2bPnt2/f397e3tdXd3IyMja2lp/f387O7vQ0FAFBYXFixe7ubnNmzcPXo1Rg9CYK1eudO3add++fSJJa95npS8aTOmAISCmpKQoKChcvXqVidec169fKysrjxkzxs/Pz9fXd8mSJdeuXTtx4gQvsTFrxYtC/+XxUHNzM1XVGWPv3r1TVVUFFGOSqysikb+/v46ODq6KiKeU896/f29kZETfVVdX5+vr6+Dg4Orqam1tnZ2dzRibMmXKiBEjRo8ebW1tDduix48f7+Dg4Obm1rlz5z179jAiL6BWBa+4cOGCrKwsip94t7y8fPDgwVu2bGGSpgxsIU/GbENUoZ3AWgJcWgN2AmMsOjq6f//+Dx8+ZJKbVrk/sjB0EGvJ0I8rZX19/aRJkzQ1NenudYxvaXF0mOQwSQ+69OhzkolUUDeKjY3t3LkzZGMA2aKoqKh///4BAQFMLDgjs+FTIpFo48aNhoaGhw4d2r17d0lJSV5eXnBw8LRp03R1da2srIKCgiBmNiAgYMOGDdXV1TY2NkVFRTt37vTx8WEkXw80EqbhlClT1NTUePktPyt9cWDKGzlepzPG5s+fr6GhASZqgMvXr1/r6uq+fv26pqampqamqqrq0aNHycnJtbW1d+/evXTp0vz586dMmQJ+f6FQuH//fjc3t8OHD0MSvJSUlPHjxy9ZsqSkpIQx9vz586ioKF9f37NnzyKP0qXb3d3d3t4e/sW2YVMFAoGhoeGsWbOwPFWiEVvr6uog74mFhYW5ufmlS5eSk5PNzc0fPHjw7t07Dw+P1atXX7p0ydTU9MGDB+Xl5XDl8uXL1tbWhYWFhYWFBgYG27Zto53GU9NKSkp0dXVXrlxJm8cYi4uL69OnD27ApzOKSZpEUFzlYSJvsgmJi4C2QXpOYjcWFxcrKipu3ryZSWLxp+Ki/27igSkT+3wYY48fP5aXl4fFHsVDJrkXGZ9FzqTaCU845UjkCScZ64blUYyora01NjYePXo0NnXx4sVKSkrPnj1jYj6RdsELBIJ169aBSQpo9erVEyZMSEpKMjMzMzMzmzFjRnl5uUgkCgoKWrNmzYsXL6ytrfPy8rZu3Tpp0iRG9iAAQf35+fkKCgp0uw2PIT85fdFgyogaKBTHaRoaGvr4+AjFoUuMsZKSEn19fdwpzBi7cOHCuHHj3r9/P3v27CFDhixdutTY2BgQ8PDhw3p6esHBwUOGDNHR0blw4YKBgcGiRYu8vLycnJzKysq2bt2qpaU1YcKEixcvYhuoBnHixAl1dXWQqlBhEYnD616+fKmlpXX48OEWvw4lxKqqqmHDhkVGRiYmJp4+fbq4uHjDhg29evUyNTU1MzNTVlYOCQlZv359nz59TE1NLSwslJWVwVQUEhICVYWEhGzYsIFJStNUleM4bty4cT4+PpB+kBMH6gcFBQ0dOhS38DMp7ENxQ3poqNUCVwh8L/7mmYmlB7eurm7UqFFOTk5MbBOn8N1+bukgJsY7mCNHjx5VUVFBoxBAJO6w5D2FrAtWAiHZNkq3FDdLZllEUReHjEqFMH0gE0pdXZ2WllZgYCCTikhBVoFmrFu3bvLkyXjl8OHDxsbGU6dO1dTUNDU1nTt37suXL0Ui0fTp01etWlVcXGxsbAxgiuY+OLyHsihjzN/fX0tLC7c1/8+BqTRxYu2AMZabmztgwAAInsfQy8rKSkVFRS0traFDhw4ZMuTcuXOXL18eMWJEZWXl+PHj/f39a2trc3JydHR0ioqKJk6cuGHDhoaGhtOnTysrKwcGBgYEBED+RC0trYsXLy5btszDw6OioqKhoaG+vh5jhnEYnjx5oqioCEFFGMjGic3wt27dUlFRAZWcJ3BxJJCzvLzc0NCQGiJCQ0Pt7OyuXr2alZV1+vTp/Pz8sLAwFxeXGzduZGVlJSUl5ebmhoaGTp48GZ6aNGkS2MVo2/AvNGbevHnm5ubv379nBGcdHR2DgoIwjTSTinpBFq+rq3v//n1FRUVlZWVtbS1d9hFM4UUCgQC4ubm5ubKyUii5jRV7ANvAcVxoaOjw4cOhbbT852Wm/xaiiID9JhAIRo0aZW1tzST3sCDSVVVVvXv3rry8HGxQiLbY7XV1dbCZEPEOOba6urq0tLS8vBzDBnDVRM5hjKWlpf3888/79+9njF25ckVJSQn2aCC3UJZDIH737h367jmOq6uru3v37r179x48eFBUVPT69WtIfF5cXPzy5cumpqYnT57U1taWlZXhU0ISH4mNT0lJ6dOnDzaAx42fnL50MOUtJlFRUag14NiUlpbq6upmZWU9ePCgsLCwuro6Pj5+5MiR5eXlfn5+oEtWVlZaWlpmZGR4eXmdP3+eMdbY2Dhw4EBra2tlZWVdXV1dXV1VVdXY2FjwYjHG7t27t3DhwmnTpv3++++MsBfg4MyZM5nkjlW4m5CQ0LdvX/AgMSkbPwqwlZWV2trasDEZGDo3N9fIyCg+Pr64uHjcuHGHDx9+/PixqalpdHR0cXHx+PHjIyIinj59amJiEhMTc/r06W+//Raj9qQ7DX1QQ4YMefHiBRNL8aWlpXp6euHh4W10OOpuY8eOHTp0qIWFhZGR0bhx454+fYqthcJ0ogJlZGSsWLGisrJSeuxwesPj58+fV1NTg+yuog5N/0OIJ+zjiFRVVamrq2/atAnLYFAUx3GXL192cHDQ1NQcOHDgmDFjCgsL8VkI9sjPzx83bpyZmdmNGzdQhQdJIikpydLSUlNTU11d/ddff8V9TRh9CCQQCKqqqmxtbUEanT17tqamJqbrp0s+/qBpglEWbvGradQqIwqZSJx6nBMHM9CpOmDAAJiqTDIVxudA1a8DTHHx3Llzp5qaGkQRceLY3aKiIn19fToGCQkJDg4OFRUVU6dOBfHt9evX5ubmBQUFXl5eBw8eZIxlZWWpqal5eXktWrSopqamtLT0zJkzxcXFa9asCQoKYozl5uauXLlyzpw5sBsPEaqmpsbJyQn0C3BN0tHds2dP//79MeEjb8w4cVqz6upqDw8PKpdxHHfo0KHhw4dra2uPHz8e4p8PHjw4bNgwLS0tHx8f2DV78ODBwYMHg9/z6NGjXEseG7y4Y8cOZWXl/Px8JrYvFxQUDBgwgG7+a7HPGWO1tbWDBw/es2fP6dOnT548GR8f/+bNm4aGBhBVIOIPSj548KCgoACEneTkZAsLC/B+8IRTHrbeunWrd+/eGN9GTQcfxSn/u4SzIyMjQ0NDA5L5onoB43716lVNTc1FixaVlJQ8efLE3d19zJgxsDEPGLK0tHT06NEzZsxYsWKFgYEB7ItDB6+VldX+/fsrKipOnz49ZMgQEC+oYEvzYS5fvnzEiBHNzc3W1tYBAQG8AeUtrkJxgjFqGkJdEEwQTDK0DvVFkTg5FnVdUDZrbm6eNWuWubk5z0wh7Yv7JPQVgCkMFXTHwoULBw8ejAIdgGlJScnAgQNBPYERPXXqlImJSXl5+cSJE8ECXVpaOnTo0Pr6+l9//dXe3v78+fMeHh4DBgzYt2+fkZHRqVOnIiIiTE1N8/PzlyxZAkAJyy+qDzhCDQ0Nvr6+48ePZyS7HULtr7/+qqamBrIzk9Txsc3wVHNzM2yJQ3YUiUS1tbV46DR8XWNjY11dHZ59wnEcqDzAeS1GDiKYRkRE9O7dG4O0GGPXr1/v27fvhQsXGNHuW+z5mpoaIyMjulOrsLBw69at0PlRUVHgvouOjrawsDA0NFy+fHllZeXNmzetrKzAIMsDU9TlobacnBwFBYVjx46xvzCs+r+J6MABq8TGxg4aNAgmAoaXQNBeUFAQOkUZY0+ePNm8eXNxcTGOy4sXLwIDA/fu3Xv8+HEHBwdQn+FWfn7+sGHDkpOT4S0pKSl37tzBlQ/2IOFayBjbv3+/jo5Oenq6jo4O7FGk405nhEAgePr0aVxcHEwEJpY2EJdhFhQVFWE+PbienZ2dkpKCG6NxRqBShfCamJiora1dVFSEr/5fB1NclCZOnGhlZQW+pmZxxszKysrg4ODa2lqR2DSempq6dOnSqqqq0NDQY8eOiUSi9+/fz5o1q6Gh4dmzZ/Pnz7ezs5s6deqwYcPevzjP6ncAACAASURBVH+/fft2ExMTMzOzEydOiESiyMhIOKIOlQ5O0tnCGFuyZImjo6OAbBlCMN2zZ4+SkhJoxDyZlBPbTNHai1ZIJEaGXEB2BzKpdD5YuA0wDQsLU1VVhTAGKHbmzBlFRUXYHMILVECCKzU1NUOHDt2+ffuxY8eOHTv28OHDa9eumZubw/6TuXPnrlq1qqyszNDQ8NixY6mpqaampjt37szMzLS2tqZgSiURKsIXFhb2798fdtxSR3OHZPqhJBJ7C3fs2KGtrY1GT4g/ZYwVFxd7enqCOiIQCB4/flxQUPDy5cu6ujoR8TRu2bLl3//+t6GhIdjBOLL7zsvLS1VVddKkSVFRUSi0IoAimEJVR44cGTRo0G+//aatrQ1HPyBvU4IRv3jxoomJSVlZmVAopAaBmpoamCMPHjwYNWpUZmYmXAcL0pYtWyZPnlxVVcWIQYM2A51pqampKioqt27dYh+Y8fIj6OsAU5zznp6eHh4ekOVIJHkABopp0uHfKNjW19dHRUVt3ry5oKBg+/btZmZmvIP28FkBSSYikowqZ4z98ssvRkZGGJ7FiU3gjLHY2FgFBQVQ86mvBh6kgAIrKtQAzYBFHjYIoJojEOewwHVYJN42h6qNdKfBxdWrV2tqaoLNFK4kJib27t0bonRRmeI9C82ur6/X1NS0sbEZNWqUo6PjxYsXs7KyrKysII/v/PnzN2zYEBMTo6uru2nTpp07d1pZWU2aNAlcf/R0P7oAUGwtLCxUVlYGMOWV/DAW+d8mTpxDjzEWEhJiYGAAIZlCcQZuxtiDBw88PDxOnz7NxKmkzM3NR48effv2bSa2/6Snp0+YMMHMzMzDw+PVq1cpKSlv375FN31VVdWKFStcXFzU1NTMzMzQv4qjhu9ijCUkJKipqc2cOVNTUxNMTKLWN18lJyebmpru27dv48aN8+fPP3bsWENDQ05OzoYNG5YtW3b79u2IiIguXbrs2rUrNzf3119/XbVq1cmTJ9esWYPZoVCBQ58YCi6MsYyMjJ49e8K34wLwmdjsKwBTKrD4+fmZm5vDrh5GhpPXRyjc4S2EvISEBFtbW3d3d2tr6+joaJHYDQrDAEOC25nwcUZUUaFQOHfu3FGjRqF9B5ULxtjNmzf79esH3IbaBDpeMBRO+kubSQpe6bNUUUDGPSTYA2102sKFC42NjdGCyRi7ceOGgoICFT2knxWJ83IZGRnBugV05swZCwsLAMrly5evX7/+8OHDmpqaEyZMmDBhwpQpU06cOJGcnGxjYwPSK8VQ7GHsk+zs7F69eh09epRJTss/4ogOkiCOGEZnzZqlp6eHRkZYmxljpaWlrq6ukPujqakpISFh8+bNxsbGoIMzxqqrq319fRcvXlxZWTllyhQ3N7dhw4Zh1pKHDx+mp6dDybt37w4fPjwkJEQoTkMB16lYA65FR0fHIUOGQJBWGzrH5cuX4RhUJyen5cuXGxgYpKamjh071t7efu7cuZGRkdHR0UpKSocOHTp79uy8efN8fHxUVVXd3d0XLlxIbVA8sZQRBUhFRWXfvn20uz6TfPp1gClC1fLly9XV1cEVg5BBzTFUnGRiBxHoO8hzjx8/TkpKKigoYGJFG02QuMZykgT1Qxvq6upcXFzAZopmGnzj48ePBw4cCPZEqgdBPaiAHDt2bOHChUuXLl2yZElSUhLKEQJxgPSbN2/Onj1bWVmZl5cHAfZoGQAvUFlZWWlpaYtrLF708/MbP348zC5o/MOHD9XU1NCS1drjTAym0NXQpGvXruno6FRUVMDGwV9++SU9Pd3a2hrcaL///vuZM2dSU1MRTBE3ObJbQSS2Baempvbp0+fy5cuspZDyDmqbaF+hFLZ69eohQ4bgGUro42aM/fLLLyYmJnjuU05OztChQxMSEuDfmpoaPz8/CGK5fPmyjIxMnz59cMG+du2aoaEhHvq9ePHigIAAIUnkjKsg/D158uTAgQM9PDy0tbXR3kVbSz/k+vXrOjo6zs7OR44caWpqcnBwSEpKOnHiBIRIHz9+/N69ew4ODg8fPkxLS1u8eHFwcLCGhoaTk9OKFStevXr166+/BgYGpqen4wkRNJqVMfbgwQMlJSU03PHU2U9LXy6Y0k7nxLpnaGhov379wJvPc+FRFZhJjh/WwIvjQTUBFyuEVEFLOUMxrNXMzAycVExS/BSJRPX19To6OitXruSp9hRMGWP6+vqWlpaTJ08eN26cjo4OuEcp5eXlOTg4FBQU7N69G6ILeBwQGhoKSaGoPE5Xl/LyciMjo2XLljFiXigtLR0+fDgEyVKDA+0ouF5ZWTlo0CDYFQZX3r9/b2FhYWZmNm3atF69eq1bt04kEgUEBBgaGrq5uQ0dOvTMmTPXrl0zMDAAUwANouLJp4yxxMTEQYMGoT0Xx64DT9tDLQ76vn37NDU10QHFGMNEuq9fvx43bpyBgcG0adNmzJiho6MzceLEoqIiZIwbN26Ympq6u7tbWVlNmDBBX18/KioK3gWb4o2NjWfOnDllypThw4efOXOGSVqx6MAdPHhw4MCBK1asGDRoEOxtQR2RSS3hly5dMjIycnV1PXToUGlpqY2NzZkzZ65cubJ///6QkBBXV9cjR464urrm5+cvXLhw+vTpJ06c0NXVdXR0XLp06du3byMjIzds2HDv3j2qm3LE7JCVldW9e3dM6opQ+zkG5csFUySKQTExMcrKyjBCOANpIAUCBBNrNAkJCceOHXv69CmUoZFMVFACQvmIl9qO9v6rV6/U1dVhJxJlETRvT5482cDAgAbkI0ZjeTMzs5SUlLq6uoqKinXr1o0ZM+b169dlZWULFiwIDAzMzs4uLCy0sLDIz89fv3497Jmrra0NCwvz8fGJjY2tqqqysLAwNTUF2OKBEXDq1atXZWVl0V2OBmV7e/tp06ZhzgHetMQWNjc3X7p0CWMk4NMyMzP37t0bExNz48aNzMzMpqamly9fHj58eOfOnVevXhWJRO/evbty5QoEJOBXc2QrN/7+5ZdfdHR0wGIDZTBo8fPx0n8f0UE8e/aspqYmdCn0NshrQvFGwX379oWEhPj6+h45cgRyOAnFB8+JRKKbN2/u2rULQO327dvp6enIG2/evImIiAgKCgoKCkpKSsK8Kmi/ohNk8+bNJiYmx48fHzBgANpMKYDSIb5y5YqGhsaoUaMOHTr07t07S0vLM2fOHD9+3M3NzcXFZcaMGdnZ2QYGBkFBQevWrbO1tZ0+fbqqqqq5ufmCBQuoDYriNbUm3b59W1FRESPwhFK78j4hfelgypvh9+/fV1VVjY6O5sRmUE6cd4uTJMZYbW3t1KlTly9ffuXKFVRweNlPpF1YVGdnxNyDA/Dw4UMFBQUIVm2WPIYECsTExKiqqkICNBqLxxE/lbm5OepNJ06ccHV1zcrKGj9+/Lhx4wICAoyMjLZs2eLh4fHw4cPNmzfDtuUlS5ZYWFjMnTvX3t5++vTp5ubmGhoaoEaJJM+KgN/btm2DApz45Eh4dVBQkJqaGurvPHkBSCh2hsJkk151gHhX6Izi4buIRFZzHFdbW2tlZTVy5EjavZ/JkvVfT8iuhYWFGhoaN27cgIuQS4kqXoyxxsZGWCCZePgQYlqsmY4LxO3Bb4BpqtxgM2bMmDFmzJiCggINDQ0wtnKSCR+gBuBVAO579+4VFxc3NDTk5uaWlZVVVFQkJycnJSVBSBMge0lJSWJiYkpKSkpKSlZW1v3793nZWpslj9uAWXD27FncG4JbpNjnWbO/AjCl6CYUCo2MjEaNGsXIWkSRlIJaXV2dn5/fokWLLl++XFxc/OTJk8OHD69fv97U1PTQoUOAqtHR0dbW1vPmzQsPDy8qKqI1YHfzlrJdu3YNHDgQ9F/qo8QHy8rKVFVVf/nlF0YYHQcbJVMfH5+1a9cuWrRo8ODBmzdvjo6OtrOzy8/PLy4u9vb2Bh96YWHhxo0bZ8+e/eLFC1tb22PHjr19+3b37t0ODg6TJ09evHgxxVAByRRZXV09YsQISL3KEUMSY+z06dNycnI45aS5Cmqj5xJSO1R9fb1QfB4qJ/Z+YK5VakTjJK0uGJbAGHv06FG/fv3AksWzUH9qDvrvJxzZ2traQYMGzZ49mxHHFDKGkPgw6cRBSMJTT2AQIXgTM5TTvM6I0UzKEPn69Wttbe0lS5YIhUIdHZ3du3ejkoetxR+85bNFxyyWaRHu8UMw4x/KnsBv69at09XVxd0x0rP7E9LXAaZ0tNauXTtw4EA4kIMRRzxHYkQ4cXT9tGnTJk+ePGHChIyMjN9//71v377r16+fO3dur169cnNzc3NztbS0Vq9ePXHixH//+9+Q15Yj4eWoLDDxoAqFQogWYpI6PpRBRdXNzc3a2hrbjDyNXGVhYTFy5MiZM2eCy7Kurm7Tpk1ycnK6urrDhg1TV1f38PCwtraG4OqQkJC0tLT+/ftraWnBhihvb+9x48YBGGFTRUSZun37dpcuXX777TcmRit0bTU0NOjr669atUokKX3TPheIM8vQrhCKz8bAyUlxkyr1WBXyOm5VEIpDEWEnm4gcZUrBt4M+iHDPe0BAgKmpKU/6E5HM5TCI6KQSiE/oQuUDBhe3GIlEorq6OjyviQ4iXQVx4K5duyYvLw+hSJDLBlFYWjoRif3vPHkIre04v6iUjQXgCjxFN5tyYpNRfX39qFGjPDw88LpIUu/8tPQVgCnFx8bGxtzcXEVFRYhAxt7BxEg4PIyxurq66dOnBwYGQkjd/v37bWxsgEssLS1Pnz69devWyZMnC4XC8vJyNKvj6DKiAYnESu6zZ8/69u0LDhwmGX2FiCAUCi9cuNCzZ08Mk6aBQVCzubl5ampqXV0dBCEzxnbv3u3o6Pjs2bOqqqobN24cPnzYwcHh/v37mzdvnj17dnZ2tp2d3fnz56uqqnJzc/Py8mbOnAk5SQHgqA1UIBD4+Pjo6uqWlZXxhD54+9SpU3V0dCBOFhcAunhgYTS9UUaHBqNswlMSpQERwRSfHTNmjKWlJR1ium510IcSbgO5dOmSgoICmAhROMVAEV5X83iDkbFAxpZeNakMQa1YjDGRSLR8+XJ9fX3g6rCwMDU1tdevX3Ni2VYolYVPKBSmp6cXFhZSuRLCb6qrq9+8eXP79u33799T4yzmumbEGcARSwKC7PPnz/v164fuVh4+fHL60sEUCPuOMVZTUzN8+HB7e3uQaHCE4C7lFbCZ+vv7jx079vbt25GRkWPGjIFi7u7uMTExixYtwpSgLi4uEClC2QXwAva6QZ1Lly5VVVUFUw6TDAOmlqmKigpXV1djY2PYpCESWwzxK3R0dMCOg/T48WMLC4vt27dfvXrV0dExMDDQ1ta2oKBg7dq1Pj4+HMdNmjRp0qRJKSkps2bNmjt37sKFC8eOHQtuBCY2I0AjL1++3K1bN4itQ/5DuGSMXbp0qVevXhC/RScPlQiopMkjOiIiyagmKmByRBKh2wHT09P79u0LEaY4arR8B7WfKMBxHPfy5UtVVdUZM2bALcytR7cjM8ktlQJxchAqtXHEPIXXKaRyYvWFwtObN280NDQwscizZ8+UlJR27tzJJMPjqJWgsbFxwYIFa9asgcY0NTXBGh8VFbVw4cInT55s374dphtscWTi5Z+KotgGatBgjO3cuVNFRQVPFKbt/xxj8eWCKf1gOrSMscTExJ49ewL2AdjxBh6era+vDwoKCgwMdHd3v3379tGjRzFtrZubW2JiYlhYGEQ4VVZWDhs27OzZs4x4+TnxNmH0nDx48KBfv35Lly5lUtG/QhImIhRH73fu3BnyMzWLD1BETg0ODn748CEu/nA9ISHB0tLS0NBw2bJl6enpixYtevbs2alTp0ACzcvLmzBhgqGh4bhx44qKii5dumRiYnL69GnkbJwtjo6OFhYWCGooEgITQ5mxY8fq6uriySWInnSOSfMfR1QkXEKYlAJB/zLxFi+ROGOms7OzsbExuGLpK0SSdpUOag/RtR+Gb+XKlX379oUwao4kt2eSKx+VN5lksDZd2+jySW9RQRIr2bJli7y8fEZGBg6ira2ttbU1CM4tArFIJJo/f/6KFSsYY1lZWTt27Ni3b9+tW7dGjhxpbGx8+vTpCxcuVFRU3Lp1a82aNYmJic3NzYWFhREREaGhoXv27AHXBW/Vh2prampsbGycnZ3x63irxScfiy8XTIF4HQRejtraWjs7OzMzs+rqahqZzCSDMOrq6mBzjp2d3fXr1/ft2zdixAgoZmJicubMmQcPHhgZGW3cuHHGjBl///vfIYAcB56yF/yGsAxMq0yXdCwsFCdGaWxsnDJlSr9+/WBrKRUPUdulICtq047DG3shyePLqzMqKurnn3+OjY1lJLpWGq3gOEnIOymty7f4dt6SLr3C01HABYlJRo+fO3dOTk4ObGo4rMLPHAD4X0wIbcgAxcXFysrKkyZNggyzKAzyFir83RqsSF8XEZ0aX4oLalFRkYKCAsREo5wRHx/frVs3CIjGOqkBVygUwnl5jY2NELhiY2NjbGwMOLhz585x48adOHHC0tJyzpw5ZmZmcXFxsbGx/fr1Cw4ONjU1XbduHRNPLrQeABf9/vvvnTt3BtsdCOY8+kQj8P/TVwCmImKLRIa4ePFip06d8BAkai7BCdnU1HT48OGjR48ePHjw0aNHt2/f/u2332D27tixIz8/v7q6OioqasqUKZs3b4aYcyY+7AGKCcQpwhhjN2/elJWVRZ8PxmFgvhWOWBhA43748KGSkpK1tTUmE8CAEpFIBE4Akdg/LiQpzTli9xERjRu+CwzE6CPiiJH35s2b//rXv+BgHERAnsUWGW7OnDmKiorPnj2jIgaTEjM/btRQEhGKzWRMnE3V0dERj0WgX9eBpB9BHMnVAOG9jLGIiIhOnTqBpoU8LJLScCmetgdfRFKBpdRyFRgYSDfUCMUnUdra2g4fPhy3gEPgBy7ezc3N8+fPX716dUNDQ1xc3IoVK7y9vfX09JYtW7ZkyZLbt2+PHz/ez89v+vTpjLEdO3YEBAQkJyd7enqWl5eHhYVNnDiRMdbQ0ADbAnH9KC0tHTJkiIuLi1Ay5ICu8Z+cvg4wRUIZqr6+fvr06T179oRd8AKyQR77i7ffCQhVXcbY9evXAwMD79y5ExERMXz4cMj7IBQbmAD4oOYXL15oamoiTwilPN1MLI4hAgrE+cp+/vnngIAAZD7EF4jaE5AkUrjy099CkrEC1xWMW8IgO8ZYUVGRmpqaiYlJVVUVwj02j0lGlTLGXr9+PWTIEAsLi7KyMijJyyP10TxHBWFMNdDc3Ozv79+nTx9IuImiDToxBB1B+x9OVNRCF3x5ebmVlZW2tjbu6UDwkn6WV0mLZehFXPwQMRlj8fHx33//fVhYGJ0RIGSkpqZ2794dz/uCi6jmg81006ZNL168cHFxWbZs2erVq/X19RcsWLBw4cK0tDQvL69p06aBfPDLL7/MmDEjKSnJz8/v9evXO3bsgMNOAKBFJCHRhg0bunXrBrmmMHywA0w5BBcEAjxtSV9fX1NTUzonGDwlJAZpFDOpOllcXOzv7+/h4WFnZ3fgwAHUFKg8yBirr693cXFBFEAYpbqViBjp6fk5jLGjR49+9913eKApIztQ8Y2IXxQ3easICnoikvSMiZWaiooKGxubAQMGwDHUIhJOSOeJUNJjkJGRoaCgEBgYiNyPb8TWYiVtDxMdL/wXFxiRSLRhw4aePXuC/YH3OUgdSPoRhCPLkSO1792717t37xEjRoBWRM3lTHK8pGv7w3fxmOTOnTtdunTx9PSEiQljSlPuzpo1q3PnzhB6SPkWptKMGTOWL1/+6tUrT09Pb29vb2/vwYMHr127dujQoatXrx49enRCQoKzs7OHh4etre2VK1cOHz48evTot2/frlmzxtPTk5GtJdCelJSUTp06LVy4EH3UvMb/74IpFf2YWC+G7rh//37fvn1HjBiBZ2ZRDyPYNDEUGYYfZUCovK6u7vbt23hOPT5Lu3v58uVdunTBwCl0mlPgRoZmRLFCqF2zZs2//vUvGF1G9ilRxKffS8EIv1pI4pCEknG1T548MTEx6dWrFyQqlf4Ejlgn6ZLDGDt58qScnBzYnpgYhalBFiURHlDib3ody2NSQVxRunXrhidq4PfyOlDUoel/FKESQPs2OTn5P//5j7+/P/yLPMCkvLu8kcU6eWONM4gjx41AJhEbGxs8aowjsaIicUYIKysrJSUlSCKF2wQ4cXRHbm4uYyw7O/vgwYNxcXHnz59/9OjRiRMnrly5kpaW1tTUlJWVFRoaeu7cOcbYs2fPUlNTq6ur8/Lybt68iS+FD8/OzlZQUHBwcID2/JXL81cAphQIMPkT2kavXLny008/ubi4oF8I8Q5lIl4MB086AwL7DkKJSByEMWfOnG7duoWFhTFJRwqyGidFqJ5zYn28oaFhy5Yt3333nY+PD2heIhLHTiGVk4zIo6IlfhpIGWAegh5QV1fv27cvmCl40MzrTKwQJ5VIJNq2bZusrOyCBQvQGsuJ1zBe1/GAHkEWQRD7nErcYWFhPXv2xNPPqWmY9iH90UEfQZw4WB11psOHD3/33XczZ84EcRUxjiP2fY7IBIwwCQYwCUkwE0wTLJyTk6OpqTl48GDwsiIzUOkH6Pnz5wMGDNDV1UX/O1XIWJuo12Ix/EEDrd68eTN06FAdHR2aw7fFRfpzsNnXAabYHSLJvMhAZ86c6dGjh7m5OUZuCiTP1eLElke4SGELM3cBB2CUFWPs3bt348aN69KlS1hYGLAmABnWyfvLJOXKpqamqqoqIUlVFRsbq6ysbGpqevXqVU4cfkQbxhEFisqDFAFphfX19eHh4QoKCqampo8fP2bESoDt4XUjziLaqwKBIDw8vHPnzp6enrCeM7HtmEbztQ2mWDl0KVYSFBT0008/wcEH+KCIWHLpNGZ/rSjx30R0fRIRQ1BERMS///1vZ2dnSA+EPIyWeibJJ0Lx/mBkQkqUAeLj4/v06TN06FCQKykD8xZF+A2WB2NjY0A6Jhk5Iy03UI4VkeAZtHQJxe4ETqyn6uvrYzZhTkoWod31vwim0kSREUXIu3fvGhgYqKurx8fHYy4G3mxHBRmRlCPhHViYMSYQCG7evGlmZtajRw9INsqI76idjcQKKf/duHHDxMREXl5+8uTJOTk5tDahpCEV+IAmr6KFGxoaEhISTExMunbtOmPGDDwmRHrBl24YXa5RhBGJRHFxcd27dzc3N79z5w7daI/CJnInk9qch2FV+KVCobCgoMDd3f3f//73vn37AF7B44wd3oGbn5BwWOm4wK3r168PHjxYS0sLEnrBRRg1XvgnXWWRQ6RtXzU1NevXr5eTk5s4cSJoWows2NINw4upqamqqqqDBw+G45eZpG+ApsJhJHab1x4qX+N6kJycrKGhoa6ufufOHSZl1/osPS5FXzGYIlQJxMfq+fn5ycvLe3h4pKen4+5jHGM8HYTCHEIYFi4sLJw+fXr37t0tLS1xiUO1BSXTP2wkFMNs54gdVVVVYWFhKioqvXv3XrJkyf3798vLy1sMPJCmhoaGkpKSM2fOODk5ycnJWVtbX7x4Ea3+lBFbYyBOUogWkMwGjLG7d+/q6ur26NFj0qRJBQUF1LJJrdIiYhFDwKWf8OzZs0WLFsnJyWloaICtGfsEV68WJ14H/XnCvkWjJGPsyZMnbm5uAH85OTk0Rz0TMw/VkNCYxon3agOVlZVFR0fr6+vLy8tv27YNvRc80ZIiO12DGWNFRUVubm69e/cOCwurqKigbUCVkcax4DzlnamHFZaXl+/cubN3797Ozs6gn3GS1rzP1M/S9PWBKfYsmjhFYoedUCiMj4/X09Pr2bPn7Nmzc3JyXr161U5Z8t27d3l5eZs2berVq9eAAQPCw8MhFpKJlREcoXa2kyM7i4AJkIM5jispKVm8eHHfvn1//vlnfX39DRs23Llz59mzZ8XFxWVlZfBpAoGgsrKyrKyspKSksLDwwoUL/v7+ampqioqKw4cPP378OFYoJG6ldq7DCG1Csa8MPq26ujo8PHzQoEHy8vJLly7Nzc1F0eMPqaysLD8/f/v27crKyv369Vu+fDkeBgVbcoViOzIvk1AHfXJClQK0AcZYTU1NZGSkrq4uzI5bt26B+bI9VFtb+/Tp0/j4eGtr6549e7q5uYEAyMgxqELJLfz0cU5SEamsrFy5cmXPnj0tLS3j4uLgXAZGeFJE4uSobsQTM8vLy+Pj483MzOTl5deuXQupBalg22J07eejrwxMaefylFBMVNrc3Lxr1y5tbe2ePXsaGhquWbPmwoULOTk5T58+ffv2bWVlJeZQeP78eX5+fkpKSnh4uJWVVffu3VVVVRctWgTwgaYZQFJYtz+otdBIxGKR2KiPDHHhwgVlZWUnJyddXV1FRcVBgwbZ2Ni4ubkFBAQsXrx44cKFvr6+I0eOtLS07N+/v7KysoGBQXBw8PXr1zEQBAQHxGuefNrOzgSeA4+WSOx+XbZsmYaGRo8ePSwsLMLDw69cuXLv3r0XL168evUKbMH19fVlZWXPnj3Lz8+/cePGjh07bGxsevXqpa6uHhQUBBY6RvK8oD0Xw3Q66NMSHXQYypqaGmAJ7PCKioqtW7dqa2vLycmZm5uvXbs2ISGhsLCwqKiotLQUMis2NjaWl5eXlJQ8f/48Kyvr+PHj/v7+GhoavXv3dnR0BJc6UHNzM91nhWAq3TaEQmp8cHZ27tGjB+SWzM3NRW2ybaqvr8/Ly0tISLC3t5eTk3Nzc4MDIhkRb5nYpdz+6fDn6asEU4qhoEdDf9EpWltbe+jQITMzs++//753795qamoGBgZWVlYTJ06cNWuWr6+vg4ODoaGhpqZmnz59Bg4c6OzsvH37m5yargAAIABJREFUdnBK0tcJSBS96EN29SK6cWI7LEey8UNVly5dsrKyqqqqqqurO3Xq1Ny5c729vZ2cnGxtbU1NTSFNn4eHR2Bg4IYNGy5duoQ1M5J7EC7yTBbtBFNOvF9L2FKEw6tXr/bt22dtbf23v/2te/fuAwcONDY2tre3nzRpUlBQkI+Pj4ODg4mJiaamppycnLa2touLy7Zt2zCvBM8Og6/70J7soHYS7U+eLQsuIofU1dWtW7euR48eqqqq/fr1U1dXNzAwcHBw8PLymjFjxtSpU+H8EhMTEw0NDWVlZUtLy7lz56akpFAtm1p7qJrPpEaWxwxUukxKSnJ2dpaTk1NRUfH29j58+HBqaiqAe1lZWUNDQ2Nj4/v37/Pz8zMyMm7evBkZGTlp0iQVFZVevXrZ2dkhsnOSfhH2IUa5T0VfGZiyluYkylPYm9iDBw8etLS0jI2N3bBhQ1BQ0JQpU8aMGePo6Ojq6gqoGhISsnnzZnQvIgKiXY9JKSmtDY/0dQqm+IPqHRcuXDAxMYHTQ9ugoqIiOP5BKD4TkIYrSDNuO3sSy4tIMl0qq0KB8+fPGxoa7t69e9WqVTNnzvTx8XF3dx81atTo0aO9vb2nT5++YsWK0NDQ7OxsKI/2U1Dn8YRqHn1EUzuo/YT9jCjGmyw3btxwcnK6cOHCtWvXlixZEhgYOHnyZE9Pz5EjR44cOXLixInTp0/X09MbP348jiytHMVM3uC20R76lyOHqjLGkpOT4WgJFRUVFRUVTU1NPT09e3v7sWPHTpgwwdbWVktLS11dXUlJacCAAc7OzkuXLr1y5QpPkpCeDh8kW/x5+vrAFIgjwVJCEutDMYsxtnnz5gkTJrRRT25u7oYNG7BOTG7E85MgmLZh0m7xOq1BSNziwAdJSUmWlpaYHo23TQUpPDzc2dm5pqaG6koIf38Sp3jGVk4ywoExFhsba2tri+e+tEgPHjxYvXr127dv0UGMwWR0dGjD2mnb7aA/Q1RmpBZ8xlhSUpKDgwNsuGyNfH19IW8/rY0OJc9/yyMewvK4FOcC3M3KykpOTs7MzNy5c+fy5ctDQkICAwO9vb29vLwCAwN//PHHXr167d27F3YhYoW4Zw/XDOn3sg4w5c3A9kCY9Pxcu3ZtQEAA3qV2AGCF5cuXY35SXLpBsJIeEvbho0KbxIkNEaiJxMTE2NnZMcndKTxtpaGhITg4+IcffsCMv2C9RZtpi237iHYiqmKfi8QJD01NTWHvCupo2DkgXJw9e7ZTp06QC0ogzgPNScX5t9YzHfSZiCOCBSepZcfHx1tZWd27d4+R3esY888Ye/r0qaysrI6OzrNnz1jr4/WhnMbjUvi3pqbGw8MDDqmUptLS0q5du2poaMC/0Dx09NPvkpYq/kr6csG0bZKGWko48IsXL4bTwFE+omHtFRUVBgYGf/vb3+B0PGqqb63mDyXaWmw8Ni86OhryLfI+iiPW1cePH/fv319GRmbbtm2oMovEQYKfpJ0t9jDOuqSkJHNzczgfkAIuR2L+N27cKCMjs3z5cpqTEGV86a/7JM3uoLapxVnDxGB04sQJCwsLcBIISeA2biZOSEiQkZH5+9//Hh8fz/5IJ2t/k/AHcAjgeGFhobGxMZxMgQkr0Na0YMECGRmZ//znP3FxcdgSnCBtfO9fTF8lmLbNK/RuQEDAwoULmeSWYUTMR48e/fOf/5SRkZk2bRovF30brPMJ23/y5MnWwBQx6NKlSzIyMjIyMiNHjnzz5g3lRaqM//n28Ag1uLNnz9KzVKmpAWZCSUmJnp6ejIzM8OHDIdDvD2NlOuj/FeHuwf3797u4uNTU1MB1ngeyvr5+5syZwHizZs3CY4Fag8gPImQwnImXL18eNmwYuC7RqotxsiYmJjIyMt988w2kcufEGg/sV/xyGOyrBNO2Cbu1oaHBy8tr1apV8C8NUoMyv/32G7BL//79qS2GZxD4HC1EMHVycqIXeXDW3Ny8cuVKaOQ//vGPW7duMbEbiu6a/xwtRLPDmTNnzM3NMXM7yps4E+7cufP999/LyMh8++2358+fZ2TD6GddkzroQ4njOMx5unbt2qlTpzKx9QlXR7j78uVLFRUVYDxFRUVIRfZph5JaljZt2uTs7MwRpQeD/+7cudOnTx9oiZ6eHgSliiRTB2BVn7B5H0FfB5i2uPK0tk5it5aXl7u7u8ORy2g2QjW/sbHRwcEBBumbb76BI4noAIskXVufkPAT4uLi7O3teZ9DF9uKigpDQ0NooYyMzMqVK9EWiWl72uiKD20PEjXnJyYmmpmZ8aYTR/bjbt68WUZMwcHBeOwVj8v/ZCM76EOptfnCGGtoaAgICFi2bBmTXPmQo27fvv33v/8dhzUxMfEPp2c7m4Q/cKJVVFRMmDABGoM+VVSMli5d+re//Q2a8dNPP0VHRzPJ/X5oU2rtw/8y+uLAlNcXH8o9lCFKS0vd3NwQTHGQROJkpgoKCsgu3t7eoPJg1CoNtvjkBC08d+6chYUF3blB5T7GWH5+Phgi/s//+T8yMjJqamq4HwlBqjWffjtJ1BLRYMC4uDhzc3NMC4TjAi2sra01NTVFuJeXlwdNn/chHzqUHfQ5CHnm2bNnI0eOjIyMpCMlIqbwRYsWoZwhIyMzYcKEurq6PzkdRMTgThm4qKhIT08PdBq03sKtpqamUaNGAf/DFFiwYAGdztJA8amA6CPoiwZTjmyfx/GQXogoUZGqsrLS09MTMnVy5FhamN6xsbE//vgjsstPP/2Unp7OiHD6mcRSjgD6pUuXjIyM8KQHEdncxYmT40Hzvv32W2Cp5ORkJs46SkNNP5parIGGN0VHR1tZWdEM3IwEJDx//rxbt24yhOLi4jgpjP6TjeygjyBez+NYMMauX79uaGhID93DMoyx6urqwYMHw2h+++2333zzzc8//4xrpDS1v0mMYCjKntevX9fR0QGw5hmvLl++LC8vD5wPE8HIyAhYESv8cujrAFNG9EoRCdiUJhpU1NTUNHHixJUrVzKyAQmOdmCMjRkzBtgFxyk0NBSjIxFPW3zLRxCKaRwxR169elVfXx+jjqgNiOO4pqYmAwMDGUmaPHmyiBxFiQEif7JtvEbSHbonTpywsbGBnQUiqX1WBw4coCKMjIyMo6Mjnnklkswr2EF/PXHEZiUSg9SxY8cgJg+5XUjSmaM+ROncuXMciZkTETG2nYRzUyTOzAvXN27ciG5YkaSLOCIigtcSOTm5ixcvSmPFl0BfIpjy1hyROLMJzUcnamk9ZGL1Eyf8tGnTwJuP+fqE4rQ0lpaWdJC++eabuXPnAgpAFpX2r7cfShicf+PGDQMDA15uKkb26k2bNk1HR0dOTu67776TlZU1MjKi4Uc8d/mfJCa1WxcuHjlyxNHREbNR0GESiURLliyhxjUZGRkdHZ3a2lqOmKc/SfM66ENJRHRhHFbGWENDg4+Pz6xZsxiRNDkiLd67d2/ixIkWFhYKCgqysrLW1tbBwcE5OTkisq2DQvNHNw/mmrOzMxxmzpFzJIGKi4v37NkzZsyYn376acSIEd7e3uHh4SUlJbTNXw59cWDKpBYcETnUEzc8tDg8jBxgAHwzb948AFMU4sBL2NjYGBcXN3v2bD8/vylTpnh7e8vKyh4+fJiJo/Aw60drq/1HExUBcnJyLCwsqAccK0dgffPmTUxMjK6u7ty5cyH9D7RfID4aoMVw5fZTix8lFApra2tROoD9V6wlqSQ7O3vLli0ODg6ysrJOTk5Lliy5fv06wCiqbDisHfSZqG1GxR+gajx8+NDAwODy5cucOFqT6nMcmX1Lly4dP348Dh8avng21hbbIz196C2MEq2oqNDT00tLS2PiMBWYoYiqjLG3b98aGRnRtIFfZq6cLxFMKeEAfFzfbdmyJTg4uD0lt23b1vbWus9BpaWlo0eP/u233/6w5IwZM7Zv3/4XNEmaDh482PaWXMZYenq6vb09HufbQV8yHTp0aMSIEe0puWfPHi8vr8/amIsXL1pYWKDo0CJlZ2fr6enxckoBQH/Wtn0ofQVgiipnSUlJcnJyTExMbGxsbGxsnBTFxsbC3bi4uISEhKSkJF9fX3Nz89jY2NOnT8fFxZ06dSo2NjY6Ojo+Ph7KQ8m4uLgTJ07ExMScO3cOrsOtmFZI+tXtp5iYmPj4+JiYmKSkpKioKBMTk9GjRyclJZ06dQru0k+DwpAN2tPTMzEx8dSpU9HR0YmJiXFxcfFi+jPtoYTdEh8fn5CQkJCQkJiY6OXlNWLEiDNnzkiXhB9JSUnLli3r37//rl27kpKS4uLi4Nn4+Hg6Ih30lxF0O/wGFgKeh1EzMzOzt7dPTEyMjo6Oi4uDYYqNjQWmgh/AY9OmTTM0NIR6Tp06lZSUJD2U7RxcaBIyA7zx3LlzLi4uJiYmwHJxcXHQJJin8fHxp06diomJ2bZtm7W19aFDhxITExMSEmJjYzMyMv7ijFDtoa8DTGEJioyMHDhwoJ2dnbu7u6urq5sU0Yvu7u5jxozR1tbu2rUrpDhyd3cfPXq0h4eHs7MznBw7atQoV1dXZ2dnV1dXyIRkYWHh7u7u4eHh4uICF+EHj6Rf3RpJP+vs7Ay3XFxcPD091dTU+vXrN3HiRFdX19GjR+MtZ2dnaLCjo6O7u7ujo6Otra2rqyu0x9nZecyYMU5OTq11xQe1kPeNLi4u0AY3N7exY8fKy8urqqpOnDgRimE/QzOgu6ysrIYNG+bg4AAth0qA6CMd9FlJmtmw24GT3dzcTExM/u///b8jRoxwd3eHW3Cdjpqrq6uHh4e7u7utra2VlRXwGE4HHrU2sjjuyFQuLi7AsTDv3N3dR4wY8Y9//MPY2Hjs2LEuLi4wN+Htzs7OTk5O0DDIHQVNHTt2rI6OjpeXF83S/4XQVwCmKM/v2LHD0NDw7NmzOTk5mZmZ2VKUmZmZmZmZlZWVmZl59+7d7Ozs8PBwHR2dI0eOZGdnp6en37lzBwoAQfn09HSo7datW5qami4uLgUFBdnZ2RkZGXArS4qkX91+whoyMjJyc3OXLl1qbGx8+/btu3fvZmRkZGRk0Oalp6dDG3Jzc3Nzc+/evZuVlZWeng4l09LS/mRjWmwb9mFWVhYkaps8eXJeXh6+C4tBa+FvZmZmWloadCn9THzkE7azg1okHpfCWGRkZNy4cSMvLy8jI+PevXumpqaQVQ/5DacSDujt27ezxfyZm5ubkZEBswl+SFNrjaFNAnYCpoXpee/evQkTJlhYWFy9epXH/Onp6dnZ2cD82dnZeXl5MCXT0tJyc3MXLVpkaWnZdhqz/yf0FYCpUJzGadeuXV5eXn+Y/ZPSy5cvra2tk5KS2lk+KSmpX79+EMz819D58+dtbW15SamlieO4O3fu4NGhfxlVV1d7enpu3bq1jTJfmrbVQa1RTk7O4MGD2+8bgCNzPlNj6uvrbWxs2uMw+O233+gWrJiYGGdnZ4jO/qLoiwNTTirOFGMgwsPDR48e/fr1a9aKa5gRhxX+GDdu3LZt2xiJM5d2LwrExBg7ePCggoJCQkICNoAXSNzie1u73oa7Ewq8ePHCzs7uyJEjjDGhUNjQ0EAjFtAw1NDQ4ObmhquCqKVjlv88MUlVgDH26NEjOzu7mJgYOjScOHACvcBpaWlLly4tLi7mtYc3sh30majtfhYIBOAKnzhxYmBgoFAorK+vF5E8+ZxkJlD090ZGRk6dOhXKfMQeFl6rRJJh4JGRkQYGBvfv32dkxwpGFOAZ44yxkSNHbt68Gc19hw8fdnZ27pBM/5i41sF0+/btLi4ubXciJ5Uaed68eQEBARShpF+Em9jgekRExMmTJ+EWRPlgPJN0JdyHy2WcZJZJb29vyMbCiQ90ohH+yOi+vr5z584FnyYERYkkQ+g/CXGS8Yk5OTnm5ua3b9/Gu/R1IpEIInMvXrxoZmYGIs+X5mP9HyRkMOBqiIhKSEhQVVW9efMmIzmipIEPUY8xFhoa6ujoCDGFbTvc/7A9dGMIY0wgEHh6es6ZMwdnAZVa6CzgOM7c3BxS5UI7Dx486OzsDPugvij60sGUDu2uXbvGjh0Lm9NbQxCOyINwJSIiwsrKChLcCkn+fDq0IvFxcjioTU1N9fX1lZWVWK1IHOUqzXytQWobjeTIiVW//vqrvb09mC8AtWFZFoqPaYR69u3bZ2lpCSesQKipkOyd/YQEbYOl5erVq8bGxpiqRxpMoVhaWpqdnR1sde2gL4GAvTHHwuvXr83MzFauXMmJ1R3ecTL4IJ1x4eHhTk5OINWK/kSQPAVTYPsrV67o6Ohcu3aNkWziCKDAV3CO9KNHj3imicjISBcXlw4w/WCigx0WFubu7t6ek4c5okcXFBTo6elduHCBkbSydD2ER1D2xIsZGRlBQUGpqalYADM2tdbCdhK1MDDGMjMzhw8ffv36dcYY7Lyi2/OxWF5enpmZGSYQ4MQb8tr/3nYS/aJjx445ODjQixyRytEgUFhYaG5uHhUVxTpMqH85cVLKFoIX5CEVCoXBwcF2dnZv375lYmULJAYmpW3QYd2zZ4+DgwMoHx8aiiRdGEQWaNuyZcswglUoedgwCBO4FSU1NdXT0xNyk0OdAKYdav7HEKLJzp07PTw80Gba9iP0Xx8fn5kzZ+I2dgRTNJ5iSXr31atX/v7+AwcOjIyMfP/+PYqTKPziuz4UPtD6w4n38Dk5OW3ZsgW3umImAbQcAZ8lJSWBkEjPnf8keMqTNznxeWcLFizw9/dv8S0c8Q2+fv06ICAgISGBa91m2kGfiTiijeFvuiE4Ojq6T58+cOwNyn3I+TyRky7zKSkpu3btogLjh7aK/iskSdmNjY1x6aUkJLl6EU/Ly8vRrsU6wPRPEgzMrl27xowZ0zaYtjiHk5OThwwZcv/+fZE4RQiAFKbzQC5BNsIru3fv1tbW3rVrF5MEXwqIFO+Q7drgPI7YguHZAwcOWFtbg6aPSEpbhdvvgOhU+STgxQNTeFdZWZm9vT34W6Ur58j+QoFAUFpaWllZiXaJDjD9awixj2cDxUHMzc0dOnTopk2boDxyKbKxNOohruEjdHPnxzWSGqZ27NhhYGAACRx40wSlGTSYYg1YsgNMPwGFh4e7urq2xwHFJN36QqHQ1tY2LCyMiYEJ9X1G9vniEs1bitPS0hISEtA+CJVQmwC+BTM/SZsXeS3ksey7d++GDBkCznoezvLwPS0tDfJYY+OFZBM0feqD+pYHplB5QUHB8OHDIWyrRciGGcJxHKiTQOAp7kDSv4aQi6iHB3GnpKTE1tZ20qRJtbW1jGhCuAwLJI8IpdVC8ofa2lohSQv50e3Etzx79kxHRyc0NJRepHyF67FQKKysrPz999/xoCoo0AGmf4o4sWSKan57HqGMtXfvXnCkcGI9mqZ4oCyF4MVbioVC4YEDB+bMmYOnIQnFCUeQodH1LxCfykehTSSVS4JKECtXrnR2dqaoJP1FHMfFxcX1798fTEi4eqNplS4hH9S9PFsH/Dh27JilpSV9O2V6TuyUgwCD/Pz8Y8eOvXv3TiA+4RLPvGxtUZFG5zZWoD8jFn3cg3+G2tlgTpI+qHJ8hNocadab8vJyLy8vFxcXyJlAGYO37vKGAHnyypUr69evr66u5ilG7Wkh5SioHxgjJCTE2toa8+bQL2KEqeDfmzdvDh06FAwU2PjIyMiO0Kg/Szt37nR3d28nmDJJPfTdu3cGBgaQ25SJYYhJZplqcX2G62BjSkr6/9h7z7Cqrm1/mJzz3HOftHty4lGjJkajiR1ROogKCFJUiiCKYhcQgyhSbNhREVEELFFR7GIL2IMFxEJR7ICgIE2lS90g7LXm+2G8a/zHXmuDiJh473F84NmsNdfs8zdHm2Oes7a2HjJkiIeHB9wZJZPJEK9RGpIrXhaNE5eWQmcwTLIXL170798fmFO6VHiyY/M8X19fP3XqVBsbm+LiYk4Ie4opm2I03tpRdCrzApc9f/78OXPmNPUV8EEApm/evElJSdHU1Lx69SoTQmRioExcnNJCpSu5+Rq+NaXSb9+aW5tTW4FpU5WnKiZOcCqCeEt4yaibm9uwYcOys7NZE6Hpm6oSTuBdu3YNHz68pKQE5Z6WN1/EKcMEuHz5crdu3cCIL5KlRK0DrmLr1q2jRo0CuxmmPHDggLW19ScwfS9qBZjCaoeBjIqK6t69Ow4kQCQTxHy6SeIP6vgGps+KioqDBw/a2dmFhoYyInrwhJ+lAC2agnTHls7s9evXjxw5Egqir3jiNsgYe/78+ciRI319fSEllsgJbqciPVTzy5US5VwaGhpGjBgRGRmJC0P0ORQHN0RCH9rY2KxevZo1EV27+aJFXfGRE6+MPlARoufYmbj/Qdg67G3GWE1Njaenp4GBAWz5PInEjF81U2GcQnv27DEzMysoKHinEWQk4iVFzPLy8hEjRixZsoQpMjrS0hljDQ0N9fX1jo6OS5YsEamYPoFpG1DrwJTyg/Pnzzc3N4cQCWjDacrBiBcUAhhNFQe+rKwM/D0vXbrk4uICAUmZACL19fX0+nimiHdNFcQYKykpMTIyWrduHWuCF0Or1P379y9dukTZPZxwLZfImlpOUMSzZ8/U1NSeP3/OmljYPBEbof6bN282MzODC3txIb2nrg3L+hCA9aGphRVuqnVKP6dbFCOzApTXjLGSkpJJkyZpaGhAkFAAtYaGBtj2WlgZSLl3715DQ0OALRTmWtgiXHf4YUBAgLa2NviHcpzCPWNIHHGsTktLmzFjxoULF2jF2CcwbRN6VzBlij4iPM/n5uYaGhouXryY8l8cIfohJWpcovnn5eV5eXlpaGjo6uoGBgaCkz9lLeXEw6OZNYPPjx49qqqq+vDhQ3wlSoYSENCVK1du3boFbtWi/FuOPqIPoR9WrFhhZ2cHjoHNYCIvuH8zxl69ejV69Gj0zKUiXlM1eStKSlvUfKPontdMVzeTFS/ZM5p62HyFlZbSTP2bmhtNZYtMH5Wj09PT9fT0TExMUlNTmTD/m78YvKleYoydP39+zpw5cDy/+ZrTD4GoaZQxlpyc3LNnzyNHjkBKui6kucGqrK2tzc3NhTVFe/ITmLYBtQJMGZFZYCRu3bo1aNCg9evX04cAlBTy5BJXULQw0r+Msdra2idPnoSHhwcFBcGue+7cudjY2JKSkpqaGphMeNgJ4RjhGysgFy77tLGxmTt3LlO01FMPAWquDQsL69evn6Oj461bt+BKMkxJLbyihc0TfETGQU7crV6/fq2vr0+nPioQRBmCzQ0b8vLlSwjRjw4S0k/oQzkhrgkNGl2r0txERPPBlGiM5hXVLKLKcOTGJNpRoofNVEA0rPi5KA02mTZQ1AmYmFcUsChz0EiuS2KMxcTEqKurjx8/vqSkRDRp6a0/0rGg2hicPHV1dXV1deXl5ZAJcL5K2y7qQwRKmUyGVZ06daqjoyNWlScTT7pa4RN0nqHjxT6BaZtQ68BUtLoYY5cuXVJVVUU8Fa1PTlEzwAugyRMtD0e84aAUjuPA6MkY8/f379+//5AhQ+bOnQvnmsANk3KsjYqnsHjhVD5j7OLFiwMHDqQu1tKljo2qqakBaahHjx7gDEtLwSlLCetPvRo4cjKaMbZz504jIyO8kVQul6M1iWIfEKi3aNE3b97cuXMnHsatra1tFMIa4OfUoUJUE1p/pTBEIUY0fBSkMCWwZth70sxFOEIHWvpQVAfR6FCMEA0ZftVIDvxQDJKTvZP2M+0uqAB0KZZVWVm5a9euAQMGLF26FLygYLyw28HPSQSgIv0+LZFOckZ2U9HQi9AZc8aYALCI9uzZ069fP7jrjBE3GE6ZIh4W0ePHj0NDQ0E1QUeKfQLTNqFWc6aM+DnB33PnzqmqqgYHB4OAjDYougJFOTBi+ufI0RGe5+EQMRMgsr6+vqysLCoqatq0aXDMo7y8fOHChcuWLYuKirpz5055ebkINYBw33Z2dnZycgKEogueJ2pT0Mwy4Y6spKQkmKzp6elHjhxJSUnBWIUUaCiCIzssJ46EAOs2NjYQagvWLVO8ahRXOCN4ISfbz/Xr1/v162dnZ3fz5s2qqirsQIRO/MuIEhBXLO15rDm6SWAahAkRnInWtgguEQuYotTCEYZICqb0oRSscZ1zZE+ihYKFnTYZS8Q0TMLJUtTDzuEUzy/xPJ+cnOzk5PTLL7/s379fLoQRwQQoJdDM5YLRn44ar7g3MMaysrIuXrwI05WOlAhMeSI60E6DTO7evTt48GB/f3+sAzp7yJtQwnIct3LlSltbW17xzOEnMG0zeh8wlf4bHR2toaHh6emJUTyAf0HJiFNkkZrJkBcOeODsx7eQT2Vl5fbt28eOHauvr6+trX3lyhXGWGpq6tatW6Oioi5dunTnzh2ZTIZXhj179kxbWxsv2hO1iCNKelofKDcuLs7MzExdXX3ChAkRERFgbRNJTJxw4Wuj4FJD2ZxTp04ZGxvDBdTIiVA/J1iraLjjFOVWePvo0SMnJ6c+ffocO3aMVxbQABckLmmpcoDCtFw4To64BiXSU8Kih7xwfyInBK/B0WkkV3/DJ8i41dXVwW/k3TiOk8lkkCfFSuCbOEU+jrKEOAHwFDzWVi6Xgz4ahxi+BW6OQhV4klAQxHmSk5Ozfv16VVXVqVOnZmZm4uDiBsBxHExLHBcEd+wfEYBiYsbY8ePHDQ0NIWeYJ4jgdDOQE91XY2MjsKXQz/n5+SNGjHBycqqqqmJE88AR+YApSgmMsby8vCFDhuzbtw+mLr2WmH0C0zah1oGpiHAeMMYSExP19fWtra0hqCIjytNGRVPjW8EUZ7CceFDjVKNQkpaWVlBQwPM8BLEfOnSonp6elZVVdnY2Yyw2Nnb16tXbtm3r06ePo6Mj+MNnZGQkJiZmZGTk5uaWlZXxEnXKx3NzAAAgAElEQVQSYwy5Y6D09PRVq1bNnj0bsw0PDz9z5sz169dzc3Ol3YJGrdevX9vb2+NpMVEyCLcqbTvWB9EQ/j1//nxSUhJjrKCgYN26dXv37o2JicnKyqLRKpGQ80JsokIlEyJ0IGLiYGEyQCi5ogoYYBQrhtliTEXg8SE9XmELzyk+4g7ECf52dNA5wiNjzDpOkffE2nKKhJ9TybeRnMoTqUQYYzU1NXCBmKGhYVRUFHQgVgyFBuwKBCOqX8Li0FkFkRHqcPLkyeHDhz9+/JgRzzzsaqwbbrcIprBPVFdXOzo6WlhYgAmL9i0nESMY2WJ/++03bW1tDLrKE2mAfQLTNqG2AlMKcDk5OTY2Ntra2hANmgn8HQ5zC/Ok2SJLgmtA5H0lF5yigZ4+fXrr1i1gIY8fPz5+/Hh7e3tTU9P27dsDFG7dutXCwmLcuHF2dnaBgYEwTXfu3Dl37tyFCxeuXr06KiqK5/ny8vKIiIh169atX78+ODgYgpAWFxf/9ttvampqcKl9t27ddu/enZ6eHhYWFhQUtGXLltDQ0LS0NFAUbN26ddKkSSoqKnPmzHn16hXHcQkJCRs3bvztt9/Cw8Pj4uKobgFBCjcnCn8iVjQ/P9/R0dHY2Hj06NFz5syBKwPy8vIiIiIuXbqUkpICjPBbO1n6vFFybW2jED+w+WSMbCGURH6+zTyUfi4n5iAkTtEBAwiQRfpQWoqoJ+vr68+cOTNhwgQNDY2AgABRQW/9nAkOGKKHqIKgdO7cOVNT04yMjOYryTcR7dTHx8fAwADDvNGdQ66o2MH5A1AbGhoaGBjIFB2WP4FpW1IbcqYwNiAu1dXV+fn5DRgwwNfXF0V+OVEvtiRPYAoaBOKJpRWlHspk0b0dMoHPMc/q6moDA4Nr167xPJ+Wlnbq1Km9e/cGBgYeP36c47jy8vKtW7e6uLi4uLjMmDEDTE8vXrxYuHChg4ODo6Ojg4PDgQMHOI7LzMxcsGDB5MmT58yZs2DBgsDAQLhCysXFRVNT88cffzQ3N7937x5jLDY2tk+fPl988cW8efPc3d2zsrJ4nj9x4sSoUaNGjRplaGjo4uJSVlb25s2bHTt2TJ48efLkyU5OTqGhoRzHVVVVBQQEODo6Tp8+fdKkSXv27GlsbHzx4sWKFSucnJymTJkya9as69ev19fXR0REdO/efdy4cZ6enpqaml26dHFwcNDT01NTU5s5c+avv/46a9YsZ2dnT09PX19fHx8fb29vLy8vHx+f9PR0juOio6MXLFjg5eXl5eXl7+//+vXr+vr6ffv24cPQ0FCZTFZaWrpr164FCxZAJkePHuV5vrCwMDg4eMGCBd7e3osWLYLDZrm5uZs2bfL29vb19V2zZk1iYqJcLn/06NHq1av9/PyWLl3q7++fnp4ul8sTExPXrFnj5+e3ePHijRs35uXlyeXy2NjYlStXrl69esWKFbt27YJQL2fOnFmxYsWaNWtWr1596NCh+vr62traqKgof3//DRs2BAYGnj17luf5ysrKw4cPw8NNmzaBrbKkpOTIkSMhISFhYWHbt2+/f/9+Y2NjYWHh77//vnXr1rVr18KNcq6urkeOHImMjNy+ffvWrVvDw8NfvnzJcdyjR48OHDgQHh6+f//+6OjoiooKuVx+9+7dPXv2hIeHR0REXLhwQSaT1dfX3759G+7+PH78+PXr1zmOq66ujouLO378ONyAm5qaevXq1TFjxuzcufPUqVORkZFRUVFpaWk8z5eUlMTGxp49e/bixYsxMTHgWfzy5Ut8mJycHBAQ0K9fvz179ly5cuX+/fugweeJzrRR0cUCGGTgrGtrazEMSqOimw37BKZtQm0CpkiogId/T548qa6ubmpqCmFokdOkA8lL1JRIIvGNCaiNSgMU8egcwp0ZBVLkixlj48aNCwsLk+75ckV9LlZA2kZ5sw7zeXl59+7dg/2DMVZYWGhhYbFp0yZRno2NjcXFxU+fPn3w4AGcHI2MjPTz81uxYsXy5csBp6qqqiIiIpYvX75y5crly5efOXNGLpeXlJRs3759yZIly5cvX716dVxcHGPs1atX27ZtW7p0qZ+f36pVq/7444+EhITw8PDVq1cvWrRo8eLFS5YsWbp0qZeX18yZM52dnRcsWODj4zNx4kQ4zHP+/HlA2IULF27cuLGqqqqhoeHgwYO+vr6+vr4LFy7csWOHXC6vqKjYtm2bm5ubm5vb7Nmz9+3bx3Hcy5cvN27c6Obm5u7u7ubmduLECcZYZmbm4sWLYQ+YPXs2qLNv3749b968adOmTZkyZd68eQ8ePGCMXb58efbs2U5OTlOnTl2wYAEIDSdPnpw2bZqDg8P48eP9/PzAVrN79+5JkyZNnDjR0dExICCgvr6+qqpqw4YNcDGtvb39tm3boCuWL19ua2sLN7yCrTIzM3P+/PlWVlZWVlaOjo7g1HHu3Ll27dqpqKh8/fXXw4cPh1tk7ty5M378eCsrqzFjxri6uj59+pTn+ZMnT8L1nzY2Np6enoWFhQ0NDeHh4ZDMyspq+fLl4PO0YcMGCwuLMWPG2NjYBAUFMcaKi4v9/PzGjBljaWlpb29/6NChoqKiY8eOubq6Wltbw8WicBdTSkrKjBkzRo0aZWlp6ejoCNH74+LiJk+ebGVlNWHCBBMTk+7du0dGRsbFxVlbW48YMcLY2Njd3R3OgIjmJ2VO5Yr2Bl6ZRvUTmLYBtYkBCklODt3Dk4yMDGdn519++WXnzp3whKrGKCPZPLtKB55qhegPTlGjSicTfuvm5ubj44NyNP0rUhrwJG5/M4TcsVTGzM7OtrS0nDZtWlVVFbZUqYSoVMqTlqW0Pi2ppFKSyWTg8SMlpcKytOZKNxvc3nDnQ70kL/h+4rbHiLoQdNkcx4HZsKamprq6GgI1gKxaVVVVWVlZVVUF2sPa2trXr1+XlZUVFRUVFxdXVlZyHFdXV1dRUVFYWPjy5cuSkpLq6mp4WFxcXFBQUFZWlp+ff/r0aVdXV01NTUdHx/Dw8GvXrr18+RIaWF1d/fz587y8vNzc3FevXoE1rKioKD09PT09PS0tLSsrC3bx/Pz8jIyMjIwMeAiD+PTpU7ia9Pbt29nZ2RzH1dbWpqenwx2lKSkpeKdDWloaPLx9+3ZRURGUcufOnZs3b167di0xMbG4uLixsfHVq1cJCQl3797dsGHDt99+u3HjRsZYWVnZ9evXjx079ttvv+3bt6+0tLS2tnbx4sWurq4ArMiovnnzBpQhmzdvPnHiBPIlqO/+BKZtSa0GU6WrHcGOkT2wrq4uJCRk4MCBLi4uePBDxFGyZsFUBKPwUE5MK4wojzBzphhTCpL5+/ujgxTldnFtNyr6CdIiELVphryihyPm8+jRI2Nj4/Hjx4NtCr9CjQSWyykaKJSiPG0X/ZcTriRCxwBGPGGlewZ2HVYAddAcMebgXiIXSLrnYXdBYjx5SXl86Q86pqINDKeNKLFSoUHpDFSqZAQqLy8/fvy4m5vbyJEjhw0b5uHhcfz4cQj2AaRUKay0FOr10XzRSj9vZuGInmCe9+/f19HR8fLygv1GWp83b96cPn3awcFhwIABO3bswMmAajFtbe3IyEhIj1CLM5B9AtM2obYV8+mcQEkc/k1OTh49erSmpiZIptSnRLSoMKvmp53oLZ0ZWAEEL0y/Zs0aFxcXZIJE5fISj1f8kCfECHZTDxuc/Tdu3Bg0aJC7uzscm1HaImkDpRw3bYgUbZEQ/kT9gwgOT7B6HPGsULqMMVvsiqYGAuspQhO6SSjtXpqMNpYp4mwzrcaGSHsSyoWwW+vXr7e0tNTQ0Bg5cqSXl9eBAweSk5MRlWjpuJGI1I50V6MVwE2Xftio6JMvJ3oqXojYS4ugbeSIaIXNP3v27MCBA+fOnQsR9ugMgfWFe0BJScn+/fsNDAxgieGgpKWlaWhoQJRLjkQpokV/AtM2oDYHU7qYcYeEh8XFxT4+PmpqaseOHaNShmhKtSFJc/by8vLw8ADDK87LVmSIKIOOh/Dq9evX/v7+P/30Ex6boW1kElCW/ovLjFfcCTiJVkSk/2qLDmslSatBmyAnLlP0oRRVKcssSkNxWdrYhoaGioqKysrK/Pz8K1eu7Nixw9XVVV9fX01NzdraOiAg4Nq1a1lZWXBWAkgKnSJiiqPDE7zjFeFehLaiHuAVYVc0HxhxREE4Rslpx44dffv23bhxI9RcTo45cYJQIhd0a5BbVlYWqAjwycmTJw0MDJ49e8YkR66xJp/AtA3ow4EpJ/hLIxPHGGtoaNi/f3+/fv38/f2BO+AFp+sPgQg47TBnJycnX19fypS1vFCKbkAccfWvrq4+d+7c8OHDdXR0jh8/3iBEX0VHS6UF0cXGK/pR8gS4W9I5wCbLZLLa2tqqqqrXr1+XlpYWFxcXFxe/fPmyQKD8/Py8vDz42xRhmoKCghcvXuTn5798+RJUk0VFRSUlJeXl5a9fv66qqqqpqamtrQVXWaWeQG1IMFVkMll1dTUoRnNycpKSkvbs2ePn5zd+/HgdHZ0BAwaoqamNHDnSw8Pj8OHDT58+hcihNB+cFXLivyzCQa4JkuIvUxZYgJNIPKIRpEwo8rZ0pdTV1S1cuLBHjx6HDx+WS0JPIAuM/AosNATQhw8fLlmyBA4fR0ZGzpkzp7CwECuGUtQnMG1LalswReKFSBA4+fCwOWPs6tWrAwcOdHZ2hiMcrAlB8j0rwAT1Fp3ElpaWu3fvlqZ8p2xFeRYVFcXHx8+aNat///7Lly/HzsRFolTLBoRwzBFNaFOJeZ6vqakpLS3Nzc1NT09/8ODB3bt3ExMTz58/f+DAgZCQEH9/fz8/P29v7zlz5kyZMsXBwcHa2nr06NHm5uYjRowYOnSorq6utra2jo6Onp6ejo6OtoS0tLS0tLS0tbV1dXX19PT09fWHDBkybNiwESNGWFhYgEXbwcHByclp1qxZbm5u8+bN8/X19fPzW7Nmzfr16zdv3rxjx44jR45cvHjx1q1bd+7cuXv37oMHD1JTU8GA8/jx49TU1CdPnmRmZmZmZj558iQjI+Pp06fPnz/PycnJzs7Ozs7OysoCw87Dhw/v3r17+/btq1evHjlyBNyYFi5c6OHhMWvWLFNTUzU1tcGDBxsbG0+dOjUgIODEiRNpaWmlpaWVlZVSL1TsZAqmdPcSJZYrIxSuRbsgwhwFXKUgS3dNjjgzceT8W0lJibOzc48ePcARAuGbEw6MYiaQD2xm9IK87OzsIUOGrFmzhjHW2NhYV1dHzy9gsk9g2pb04cCUI8f7eMV74hhjDx480NTUnDJlCria8xLh6P0rwCSoV1lZqa+vD473vKKWs+WNohlmZmYeO3Zs/Pjxampqbm5umZmZPOF2sb0iPKVcJ9ZEWlxZWVlGRkZycnJcXNwff/xx+PDhDRs2eHh4TJs2zc7OztDQUENDQ1NTU09Pz8DAwNjYeMyYMY6OjjNmzJg/f/7y5cuDgoK2bdu2e/fu/fv3Hz58+MSJE2fOnLl69erNmzcTExNv3rx569atRAklJSUlJSUlJCTcuHEjNjY2Jibm/Pnz0dHRx44dO3jwYERERHh4+Pbt24ODg9euXbtixQqENicnJwcHBysrKwsLCyMjIwMDA319fR0dHS0tLV1dXV1dXX19fXiop6c3dOhQI4FMTEzMzMxGjx4NvrfgRWRsbAynhDU1NbW1tfX19Y2MjMzNzR0cHFxcXHx8fAICAg4ePJiSklJRUdEMU8xLhA+KaHSyiaYcHUHRnOSIoU+p0CB6juAlEvMpqlI0f/LkiY2Njbq6Opxzw5Q0hIJcOMjACfeR0JkGWZ06dUpHRyctLQ2rjfBN6/YJTNuM2hBMpQjIC86eQChiQMrMzEx9ff2pU6di9BBM9p54SicrXWZw+w0cPuEV92fR51KxjnIuFRUVf/zxx6pVq0aOHKmjo7NkyRKchTDpMXgwNhmnOGvCPM0YKy4ufvjw4YULFw4fPrxu3TpnZ+exY8cOHz5cS0tLX19/xIgRtra2rq6uK1euDA8P/+OPPx4+fFhaWqr0hM/HQDzP19XVlZaWZmVl3bt378aNG/Hx8devX79161Z8fPylS5diYmIuXLhw9uzZqKgocHQ/duzY8ePHT548eeHChcTExPT0dKmQ3lRZ8IMyXCKdMk827GbyeevEEyGR0vRK1wLON0amOmiB8PmZM2e0tbVtbGzg8L4UgkUaXpFyQC6ErWGM1dbWTp482c3NDXywUFeAPny0/p/AtA3og4IpfU6hDTXuT58+HTZs2IwZM+DcFKdoY3mfmvBE4ALxhzG2bt26sWPHwlVoWJxoPfCKkhoNMMEYy8jICA0NdXR01NLSGj169M6dO+HEKuQALBJqiqk+DnJDsxsWJ5PJrl279ttvvy1duhQEcyMjoxEjRowbN87b23vPnj3x8fHPnz9v5k5A2snN9EbrerIlmb9Pzu9ZExGccRJFsyhl29YEy1JaH6WTSlorhNH8/PxFixb17dt3/vz5GDsVdMQ4n2lL6baBvC06ycHb+/fv79+/f9KkST4+PrivI6PwCUzbmD6QmE+JzmPRMVDGWEZGhqqq6tq1a5lgGWiKcXunEjmip0clvb29/ZYtW3jiB8MRgyz+QKUYIx4/t2/fXrp0qbGxsampqZeXFxxQAUKsxGAcEE6CkRMKPAngxBjLz88/evTo8uXLnZycLCwsLC0tp0+fvmrVqqNHj6Jc1lRPouKMIwo70RKV9rwok+Z7j0nAQgRb2IfSPPGVKB8mKDQ4olukNRcVREVjUTJpE6QophTUpP++K0n7Vgqm0vQ4FeWKPkmY+Pjx4yYmJsOHD8dwFrgTQwgukWqomebAPKSBAubMmbNw4UKl+XwC07akDw2m0pkNIw1zBRjS8+fP9+jRIyYmBj5BmeVdCxJNaznxb2eMPX78WF9fH+7+YxInU6V+r4B9hYWFfn5+6urqcDAUojszgQ/lhVCBeMi1gYR8bhBibmKhv//+u6urq6Wl5ciRIydNmrRixYqzZ8+iIY7WTYQm6KIoetU8dL5nN7JmBQ45OTtAP6R8E7ZdOhNE/JG0OXJFN9WPn6SbCm0mI+flsItycnLc3NwGDRrk7e2NR1rwQD32TAuL5jgOgyICnspksokTJ3p7e9fU1FAoZ4qugZ/AtA3ozwFTEeEujdqitWvX6ujoQJQjlFNavZB4xShWUASEiYL5SkGWAhZ8TnfvQ4cO6erqmpiYhIeHY5R7ZK4bhFiZvBDHU2QzRYXmq1ev1q9fb2ZmZmxs/Ouvv4aHh9+5c0faQJ74dTcKRNchOmyKKswpWjyU9sn7M2UixKQKZcom099y4gCPJIIYpuj3g2XJJR6g71P/P5k4yek7aCDlT0+dOjV8+PAxY8bg9ZF4IE2kKm2qFNFWygn2KJx72dnZOjo6bm5uGP6V9vknMG1L+hPEfBHx5OpHgAbGmEwmmzJlyvTp03niQ9fY2lPndB3CD5lM5uDgsGLFCnxLrRPIh8KEg1lYVlbm4eGhoaHh7+8PR6oxDYIdRkGWk6OoqB6F/AsKCubMmaOjo2Nubh4QEJCQkIAiGEdiZeK5FIo7InykNaevWrLxtBUYidAN17ycHK9i5MSq0q9oi+gwSRNTQPnfBaa0XZwQTxrfpqSkTJkyZfDgwevWrcOwOODAhP0p3aiaKoU+oWwEz/PV1dWmpqZBQUHYn5yidugTmLYZ/WlgiosHkYj+ZYylpKQMHjz45MmTjDjWMcWl1fKyRMJUcnKygYEBaBJELBIjuzoiQkFBgaWlpYGBAb0WFOqJDKOcXOKEWVF+pK6ubtu2bRoaGuPHjz9x4gRGF0VZjCPh2ekxRFofKcQoZQNF/Uz/fX8YUponcs2UR6ZpRN3LFHWsTHHboDnwTdP7tOI96V1noBQEeUHdNGPGjAEDBsyYMSM+Ph5e0aHniOtxMzCqtHr4FWqEGGNz5szx9vbGQ3pM2d72CUzbgP58zhTZQGpugknj7+8/evRoUCCCp3Hr1hLOSETAwMBAOzs7uNmUEa4Bpy+yk4yx7OzsYcOGjRw58vnz54zoBCi+Y+V5xU0Ck8XGxpqZmQ0aNGjnzp3oP8CEAMZK1wnWRylLQpEIE1CPK2kX0a5r+bKU5kBrwive0U0Z6ri4OLj0G/UhPBERmKLzOQ6TXJm9ET/5GGCUNYvvvOQSJxGXAJVvbGx89OiRi4sLwGhsbCwqyrF1ODeUhs1uSQ0Z2cZwXw8ODraxsYGoLrzi5vcJTNuS/hKdKUdUaYhKjLG0tDRNTc0DBw4wEr2pFcuJJ1ISz/NFRUVmZmYQX5KR2YbL4M2bN3AzB9THzs5uzJgx4P0qiq/Dk72dE+z+ciEEn1w4CBgQENCzZ8/FixfDgWim7Ew3/pArOhWACYvK8nR90s2AstK8ItaLKoysilLkama8OKIYxf2G6vUgWWFh4fz587t169atW7dOnTrBlVxUmyEXDhM3kkBWvDLO+uMkOhZSoh0ilxjTa2trExMTXV1dVVVVZ86cGR8fD+50QNh81Pa804RXmowX/LthrJ8+fRoVFQWXMOIgyolOln0C0zahP1PMp8uYDiT6ZjLG1qxZM2rUKNAi0bnbCjDF/M+fP6+urg6hy3mJwhTZCljwmzdvVlVVBZEcDaPUz1kEZ3SCMsbKy8s9PT379+9/7tw5ZEyo8pdXNM5iu0SQSnkcVL/S2iIjjJ9Twxe2XfSDVruprqP/ykkcP4rI6KJQXV199OjR/v37d+nSZeXKlZWVlbdv3zYxMenQocPMmTOBtWfC1oj7jahKHz+eijY23JYQknDs8JPGxsYXL17ExcXNnDmzT58+06dPT0xMhHgU1G4pLQI7p3WVlG5UuGfDNYIitvQTmLYZ/fliPlM0QcIPZHPy8/P19PSOHj3KFMXAt84tmgBFYMZYQ0PDzJkzZ82axSQnkRgJRgefJyYmampqHjlyBF+hb5NoisMsxMNO8DArK8va2trIyAhvM+cUvVZFn9OVIyeWXzmxnskVLdoUZ+lb2lF0RSHmYsM5YtmjQKYUdsHaxgk2YtqxjLGkpCQ7O7v27duPGzcObogDamxs3LFjR69evbp3775nzx7QctBwR1ilRsG3rNXGxrYiaT8wRbsfT6xtFKoQVTGrkpKSpKSkoKAgCwsLNTU1JyenlJSURuIeR2NofYi20CnBGJPL5fn5+WBWhRnLFOUz9glM24Q+BjDF5QTM6fz58x0dHWn8upbwp/QVJIZTQ/fv31dVVYXz+CIkZYIECoBYXV09duxYDw8POtvkRHcpqk9jY2N1dTXyaIWFhSYmJra2tvn5+UxgSFE1zMgq5QQffpGoxQiYMiEKVKs7mTJNFAJEzBQjWhfsRnzCEf9WRuIiFxQU+Pv7t2/ffvDgwUePHsWQhnifM2MsJydn6tSp//73v83MzNCOxws3m4oEAunQvCvxyuitn0ifiHqDoj9l/+XkQmz4trGx8c6dOzt27HByctLQ0DAzM9u+fTuNP80EUwF2aUsq2QoSbcCMMScnJzjpL9LsfwLTtqS/BEyZMj4I2ZMrV64MHjwYboqmEEClWqUZ0t84xb28vMaOHctI0DMRskDYOsbYqVOn9PX14eS+NDHkhqiK0i6A/uvXrx0cHEaPHg3/ou6MBqfgiSYL86fSutKlJZPJcnNzHz58GBcXd/78+fPnz1+5ciUmJubixYsXL178448//vjjD7iC7datW5mZmUVFRfImfLx54U5g3C1E+E77DbWcoFDGrziOO378uI6OTqdOnTw9PXHmcCQgE0XGqKioIUOGfP/998uXL4dLB1BioCyziLlrnlqBm03lQP9lEtFBtPfgBkOLgztoDx48OHfuXIiwtWjRouTkZFoWQjBVsn8IGEXCAYVSRo4cuXfvXqaoW6cN/wSmbUB/FZhSXg+3ehjaqqqqoUOH7t+/nxFQQz1ASwjzzMvLGzx4cHR0NFPUlmLRciFKwJs3b+BWOEZuV1bKliLiyAVX07q6unnz5g0dOhTUspTnonsAYBlicVNr6c2bN/fv34+MjFy7dq2np+fUqVPt7OxsbW0hkp65ubmlpaWFhYW5QGZmZiNHjjQ3Nx89erSNjY29vf2MGTOWLFkSEBCwc+fOs2fPJicnP3v2TGk8FAoZtGnU0UIuWEUYY/fv33dxcfnnP/9pYWGB4dzpjSmAvJg/4GZVVdXy5cu7dOmioaFx+PDhRsHDDLecDyrzKiUR/tKRxd2FIy5KUrx++fLl77//vm7dusmTJxsZGRkaGk6aNOnIkSPYfMyB9iROqg/aWFpnGFBbW9sNGzbwilZK9glM25Y+Bs5UJHUyxtzd3R0dHeXEif1dNaeQ26pVq0aNGgXcYqMkqCjdulNTU/X09OBkNPVeEjGnPNEbygWTUURExMCBA5EZoW3BfBiRu0HIbVSMtfr69ev9+/fPnTt33LhxpqampqamECNqyZIlISEhx44di4+Pv3v3bkpKyo0bN27dupWcnJyUlIR/k5OTL168uHv3bn9/f29vb2dnZ1tbW3Nzc4hrZ25ubmdn5+7uHhgYGBsbK5I9ecW77RD0cfEzxioqKrZs2fLjjz/26tULNNpAcGwBuxfTI7+JDUxISLCzs/v6669nzZqFV2jQjef9xXwRFDafEv/FUWaKU0I62Xiev3fvXlhYmLOzs7m5uYGBgZWV1YIFC44ePQpMN2YoJ1rvRhL8VDqpPgSq8orEGJs6daq7uzsejpI29hOYtgH9VWBKCSc3ruqYmBg1NTU4BU/32LdOPp7IL0VFRZqamsePH2fEKk1LxFnFcVxYWNiIESNqa2tFkE3rhhs7R64ky8jI6N+/f3BwMKSXbgxMkUlBmxWmuXr1qoeHB8S5mDVr1qpVq/bv35+SkvI+ClPGWF1dXXZ2dkJCQlRU1M6dOziqbwkAACAASURBVOHyq1GjRkGk50mTJi1btuzEiRPATQNRfwAafOjy5ctmZmbffvuth4fH7du3Dx8+7OHhMXfuXGD5gURyA+1qbGxdXV14eHj//v179eoVEhKCN3HJFSPJt44o24V58sqIkUlFJ0MjOeiJBGG9goKC3NzcbGxsDAwMTExMZs6cGRwcHB8fT4MqYP4USRnhBt5nNN+VaDPlcvnvv/++b98+mN4c0cN8AtO2pL8WTHE2U2aQMVZeXq6rq3vs2DHWdPTPZjIEgkvMwYEclxyyTnSRl5eX29raBgQEMEFopXWj+WMm8Lympmb69OlmZmaVlZWMWNKY4rbPFB3ysTmnTp2ysrLS19efPn36jh07kpOTeQnvTPkIWm1p9UQlKqXnz5/HxMTs3bt32bJlEyZMMDIy0tXVNTc3nzNnzuHDh+HKNqZ4Q0FkZGTPnj0NDQ3Pnz/PGMvPzx8/fnxgYODBgweTk5Nra2tv374NsFhYWPjs2bNnz549f/68qqoKLltmgmEKzdmZmZkeHh5dunSZOXMmJKDWmFaTXDiQRncspcQIiCidQhkZGUePHvX29ra2th4yZIi+vr6VlZWbm9umTZtOnDgBWnU6JfAvzhA6TCLgbn6A2oSwXE5g+RsbG8vLy1Fj3kiiDPOfwLSt6C/nTHElIELJ5fK6uroZM2YsWLCAEa+pRskdJJQ4RY6ytLTUyMgIFK9YBEfUBZAYuL8nT55oa2tnZ2fLmzCg02lH0fDy5cuqqqpoJ6Wu7DQZT8Q9eHLp0iVra2sdHZ3ly5fHxcVJ76/nJcoN/LYZFKD9wxPuW+mGBBe1nz59OiQkZMaMGcOHD9fT0xs7duzevXshHAzQvHnzfvjhB4hVzBh7+PDh7NmzL168+OLFi6ysLB8fnzlz5ixYsODZs2dBQUGWlpZWVlZTp06dOHHitGnTpkyZUlZWxnEcmLA4wcVCLpcvWbKkQ4cO4ENGx060yOn4ipLJ5WJXMLpfthyzCgoKLl++vG3bNk9PT1tb22HDhqmrq48YMcLFxSUwMDAyMhIu48OdhnYvDg3XtNj+J6CntESl3cgLW45cYu7/BKZtQB8JmCLeIYu6atWqCRMmMEUjeDMONCKecd++fYaGhhCghIahoo6NKNadPn162LBhjNg6RaXgiqVLuqamxsnJ6ddff2WKyMUpKqQgPTK8T58+dXBwUFVVXbZsWUpKChaEtnJqIhMhSEt6klayqcUj7cOKiopHjx6dPn0aYrYOHDjQxsZm06ZNr169WrJkib6+Ph7aSUtLs7Kysre3DwwMTEtLCw8Pt7Oz69WrV2Ji4urVq93d3WfMmHHjxo3x48eHhYV5enrSm73r6urQLXfv3r09evR4+PAhE6K+IseEg04Vr3SStFBSgfSNjY0ygQoKChISEo4dOxYcHOzu7m5ubq6lpTVo0CB9fX17e3s3N7e1a9ceP378xo0baWlp9JpuOjeoDUdUtz8fN5US7UN4cuvWrZCQkNraWqwkZU7ZJzBtE/pIwBQZCgzHcPLkSSMjI06wqDYKN94ona9y4UAnLjMPD4/58+fzhJfkiYcKnUYNDQ0rVqyYOHEiLxhepKYqRpRQCJc3b95UU1MD3grWGExWjmhUEUnh26ioKA0NjYkTJ6ampmLwfFox5KooMr4TmNKvsGN5Rb6PUySqznvz5k1ubu7NmzcDAwOtrKzU1dU7deqkpaWFyPLgwYPZs2ffuHGjuLj4xo0bkydP3rVrl4mJycWLF+HWKT8/v5qaGjc3tytXrqxbt+7ixYuMMTx7IxfcJ7Zu3dqnTx9w9YdX79pexhh4U9TW1lZXV5eXl8NtrLm5uXfu3Dlz5szevXtXrVo1Z84cW1vboUOHqqurwwV8w4cPHz9+/Lx584KDg2NiYh4+fPjkyZOCggK4TkpUBIoaTNELlScHIj42MKUsM/yAWH+wI4LKRVTnT2DaBvTxgCkCEMzdJ0+e6Ovrg2wFgn8znClHJHfGWEVFxejRo8GxDogyaOhmD6VXVVXZ29tv2LABnsCZH6X1FBXt6uo6depUJnjXUwGTJ4wV1Kq6unr16tX9+vXbsmULvZMVwYUJigIR2L3T+qTbEpV5OaJwoEsIK8wJak0srrGxsbS09MmTJ5aWlqqqqnDvIWMsPT193bp1oAfIyspydHQ0NjY2MjK6c+cOXN63adOm4uLiRYsWxcXFBQcHp6SkQHFyISoKFLFt27Yff/xRpH8Egotsq6urS0tLCwsLCwoKsrOznz17lpmZmZaWdu/evStXrkRGRm7fvn3jxo0rV650d3efMGGCsbGxnp4eIKampuaQIUNMTExmzZq1ePHikJCQ48ePJyQkZGVlvXjxoqio6PXr1xj1RtqH2BW033C8RPvQx4akQDhzYHu4dOmSlpZWYWEhUwxL9glM25I+EjDlhcsXke9LT0/X1tY+fPjwq1evamtrmcQCiznQaS2Xy2tqas6cOaOrqxseHp6Zmfny5Uswj/Dkdj/GWHl5eUJCwq5du7y9vbt27Tpv3rzU1FRpIB9RPWtra1+8eCGTydLT0wcPHgwHeygTKvoQ/YpmzZqlqqp6/fp1XmCHsaWUKWOKzOO7rk/sTMqZSplxTMwRT3vGGF4XTH1FHR0du3fvDtES4PBSXV2dTCYDIJbJZJWVlXBPUb1AcMgH49WKrheEv5s2bWrXrt25c+eePHly+/btpKSkuLi4M2fOREREbNy4cenSpfPmzXN1dZ0wYQJ4IGhpacFtrBoaGrq6ukOHDh05cuTYsWNdXFz8/Pw2b9584MCBCxcuPHjw4NWrV5WVldXV1TU1NbA1KhU1gCCEqGi/wc6hLB6TWBGVzsaPgXiirYJKQnxLiN0Dz1Ea+ASmbUYfCZiKRONLly5Nnz79yy+//P7774cPH+7j4xMXF4fOj6IcKL9QVFT066+/du/e/e9///t//dd/tWvXzsrK6uzZs7ygckV2IzIyUkWROnXqdOHCBUY8tET1ZIzFxcUNHz58/vz51tbW1tbW8ApYS+Bn6+vrHz16FB8fn5KSAu6clZWV06ZNMzY2Ri4Mzk1RnQOT+GC9J7ODH9L8le4QyGQxRRxH5aarq2vPnj3hfD0NRNBUiTSUBr5CmzI2c+3atZ999tmQIUPMzMx0dXW1tLTgzmpTU1MrK6vJkyd7eXmtXbt227Zthw8fvnDhQlJSUkZGRmlpKYaCpS1qSUdxinEY8BOORBvAnLET8KQsFfZFmpO3Fv3nE7aCMSaXy58/f25ra4uB0FCb8QlM25I+EjDlBaU4DL+xsbGKispnn32GSDdkyBAMJSXKgZqScnNzv/zySwqRf//73/fu3YssGDBQjLHr169/8803NKWqqmpGRgYvEecZmXMHDx7E9Hp6ehBtmhfuLGGMvXz50sTEREVFpX379jNmzDh9+rSXl5e5uXl6ejoT9BWNQiRQJvHwb9sufSso80RBjH8RMaFi27Zt6927N0iIcFnm9evXDx8+fOjQIYzngp4S8GF+fv7Tp0+fPXv28OHDoqKi8vJyEDtQd8wYW7FiRefOnbdt2xYTE3P37t38/Py33sCKdX6nrmCKZj3Kp0s7jSnbYORCzDrptvQ+G94HJSqaMMYaGhoSExPxVij0p/4Epm1JbQ6m7zq3eGVGki1btvzjH/+gSBcUFNSU0xJH3K3Ly8sdHBwoEHfs2BHvKQPBEwp6/fr1uHHjICUkBucBONIjXWnwY926dbRW//rXv3bv3i0nMfry8vL09PRomv/5n/85e/YsE7RXVG+ImdNVqrQD/5wVKwVfjuMuXrzYq1cvPOGTlZU1duzYiRMnuru7R0VFMcby8/M5RZ+Eu3fvXrt2bf369StXroyLiwsLC7t//z52OySePXu2iYkJKHBEhLkhoknryST99ta2oCwv/ZB+jtwcnnNtFC5JRCyW1uEjJFxZTBCbmOJt6s2AqdL5+T41aeZf0StR0f/pYPrWfVv0EOUs1K9lZGR07twZMfHzzz+HsE9KcUe0A//+++8IZJ999pmZmRkyRCDgoBy6efNmTPnf//3fGzduZIqSrKj+b968mT9/voqKyt/+9re//e1v8OHUqVM5YrLPzs7u378/vII0X3311alTp5hg2pILp32ka1Kp1vXPJ0QcxphcLs/Ly+vXr9+pU6eggY8ePZo7d25ycnJDQ0NxcfGWLVuWL1++d+/eysrKx48f//rrr7t27bp27Vp8fPyiRYvWrVsXERHRq1cvJyen1NTUjIwM8PwtLy83NDRcunQp5Cla3hyJ/yJdXdKOaqbTlIKs9BNeQnhcTa5I+Dnqfz+SUWueOI6Li4vLzs7GptFDUKwFYMor7jpSfBQlaOqh9F+l+eC//7lgKpr9LQRTJlg2wDWKMdbQ0GBkZIR4ZG5uDuoeikFIcuHoC6zMtLS0bt26IZzt379fxPbicfIbN2507doVUv78888QFV9kdqCzoby8fOLEiZSZtbCwwFj6cuGygJ9++gnSQOWtrKzy8vKggehKSZel6O9fTiL2raGhYcSIEePGjYPnT548sbCwcHBwCA4OTk1NDQwMNDQ07N27d1JSkqen5+bNmw8ePLhy5cqQkJB58+Y5ODhs3LjRyclp5syZYWFhixYt2rdvH2MsPj6+ffv2kZGRTAi/j14HFLmkOIVgyr27dU6UiShbvNtRruiDjAlQ9sfPpfzdR0hQsfr6+rFjx+7Zs4eRSyFpzd8q5kuXtvQtawJMpZ+3nP4TwbR1kwkHAIy/9FVQUBBypmFhYUzRCEAJWQY0AXl4eABEfvnll2D2QQdSuhvDDIOUJiYmmJvUNYoXVIFDhw5FZnb48OFwLggVsoyxR48eff/997gN9O/fHytArcZycrRJVNBfviyxAoj4ISEhqDZNTU2dNm3awYMHk5KSEhMT16xZc+DAAVNT03Pnzjk5OTHGioqKPD09Q0NDFy9e7ODgEBoaunHjxqysLF9f34EDB0Kw1xUrVvTv3x+uMxDhpgiwmuqi9wFTpU2GaiAriq+uX78OdaYqVCr1t1UdPig1NDSMHz/e399fTm5JoM4tLdSZKgXTtw4EDlnLP0H6BKbvthFxxLEJF0laWtpXX30FSs/r168zRTMCzZlT9P5jxFJvaGiIjsq8ID+iUwhjbMOGDSCzr1+/XlRt0W/G2NOnT3v37g056+rqPnjwAHJGfooxlpqa2rFjR0jzzTffoIUK2GHkd6Sd09Se/yeTlJtgjOXk5HTr1m3hwoWMsYcPH/r6+oIa+v79+2CO79+/f1JS0t69e0eMGDF37lwvL6/t27d7enqOHTs2PDx81KhR0dHR/v7+VlZWYFnu3LnzsmXLGNHwUBu6VDIQ1VBptd+pgU0xVhRGi4qK5syZ88MPP2hra0M4MUxJB/Fj2P/eSjzPz58/38PDgxcsciIFhVIwlc5JqbGUV7SgSvtE1D9KE4h+0N//cWCKMwzP/zW/YytdIchgwtuKigoDAwMVFRVbW1tw3efIeVBRDnQpMsaePXumrq4OZiucPZiSgtqjR486d+785ZdfZmVlMeLPrLTaqamp7dq1U1FR0dfXv337NiP4TtOAk8Bnn322c+dOxhhI91A36pYvmtYfieqtqfWzefPmrl27QiyrrKwscCyVyWRpaWlXr15NTEysra2tqqqKiYlJSUnJz89/+fJlVlZWRkZGSUnJw4cPHz16NHnyZDDEeXt79+7dGzqchqdrdfNb/qFo5WPPUw0DvI2OjlZXV2/fvv3GjRvt7e07duzo7u6OoQtBkKL6EOlO8BeS0g5ZtmzZlClTGBEFaEoKprziToaTHDWt2GNMWLkcOb/HKYY8pzIHLRrXLHJClFXCr/5DwRRmmMgFWilxiuYXmgldzGA6B54RHWukH4ryhLfu7u4qKipXr15lworliB2TVsDQ0FBdXR19RZup/O3bt1VUVAYNGoShSzlFKwRj7OHDh59//rmKisrKlSs5wTWaE1wsccOgGIrz72NYh0CihcQYKy4uNjQ0HDVqFD3X0PLa5uTkbN26tbCw8NSpU+3bt9+6dSuTxNz7ME1RIE7RpZQqZ9HwWFRU5OHh0aFDB1NTU9gyy8rKtmzZ0q5dO21t7YsXL/ICD8srBhAQGak+HsKZGRMTIxc8T+i1u6wJMIXP5ZIDfnJyxTcFQTm5/5FuxvgJhvISmTGkcwDX1H8omCpVaL4PJSQk9OvXD2IyvSsdOnQIA500T6GhoaCYfyvdvHmzT58+8fHxzaR5/PjxP/7xj+nTp3MSgUhKuCyRWf5zMKUZEi0kiu9gNZo+fTrgKVYY9oxGElIe1youLfg3OTm5U6dOTk5OeE0hRR/RztrM1tJqtIIlTU/60mXf0NBw/vx5VVXVTp06BQUFQVhFpDt37owcObJ9+/YrVqzAw7UcEYko2/VRES8Jho3j1RLOFDRjvHB5FyN+Y1Sw4ARjAAVcWigem4ZDdLgJoTmBMj04kZSDKUdMH63rEdHYtwm1IZjyPF9bW5ufn//8+fO8vLycnJycnJy8Jig/P1/p89zcXExw5coVPz+/zMzM7OxseIVvlX71/Pnz3NzcnJyc/Pz82NjYffv2PXnyBF7l5OTAK/iLReTm5t6+ffvRo0fwMCsrCyoPeUJWubm58Pf48eMhISFwVDwnJyc7OxvLhc/z8/Ojo6PV1NQuX7784sWL3Nzc58+fQ+WhW7CU3NxcMLhxJJIL7ttK+/a9hvndBxR/UJbh0KFD//znP2fMmAEThrL5VJqDH42NjRBRAb6NjY394Ycfhg0bhocaqTD44VpBQRNKhGinVLRkjBUWFvr5+XXo0GHYsGEJCQmQAzXXMMbq6urWrl37ww8/DBkyJC4uDvOXS1y7/uTxUkqUtYRWvHr1SiaTtTDQCbYOzwEXFxcfPHgQAn0xxhISEg4cOFBdXc3zfHR0NPj/8TxfWlq6Z8+eoKCgoKCgPXv2FBcXl5eXnzt3DsD0/PnziYmJFRUVcG44LCxszZo1Dx48uHfvXmho6NatW4ODg3fs2JGdnQ2lfEDO9KMFU/hx9uxZVVVVLS2tYcOGDR48WFtbW1dXV5uQlpaWlpaWjjKCV9ra2vCvrq6uhoaGhoaGgYEBnMXW1dVVV1fHBEpzgL96enpaWlq6urrwQ19fH850Q7ZQiqampra29tChQyFDSCytrb6+PiTQ19eH0iGNrq4u/NDS0tLU1MRyBw0a1Lt3bwMDA8gBKkbrDOVqampu376d53mwjMFcRy/xZnr4TyaEBsSU8PDwrl27Dh8+PDExkfoSIezW1dWBjILuGa9evdqyZUunTp1GjhwJLgFUPfLhoIcnenxGJEeUUuVC5NmYmBhNTc3vv//e398f+Snkm6gulTGWnJw8bNiw9u3br1u3DoNp8Yr32XyI5rSaoHtLS0vd3d1///13JtxmKCf23paAaVpaWq9evezt7TmOk8lk1tbW/fr1y8vLq6qq6tOnj4mJSWpqKmPs+vXrPXv2tLCwGDdu3IABA3x9fWNiYiwsLOrq6iIjIw0MDK5fv3737t2ff/7Z0tLSxsbGxMTkypUr0dHR5ubmP/74Y58+fRwdHRMTE6H/3wKmH4jHbB21IZhyHHf16tV27dp99913vr6+fn5+ixYtWrhw4cKFCxctWoS/Fy5c6NsC8vb2Xrx48bJly7y9vX18fHx8fODDpj739vbGBF5eXosXL16+fPm8efN8fX2XLFmycOHCpUuX+vr6QjUWLVrk6+vr4+OzaNEiKMjHx8fX13fp0qULFy709vbGbCGll5cX5ADVWLx48fz586FRmCeU7uPjs3jxYm9v70WLFsFv+AH5QyWXLVtmY2PTpUsXmNkAqTB1mgLTv4oQIumtebdv3zYwMPj22289PT0TEhJEUZMpZWdnHz16dOjQoV26dFm0aBEaEqXUVmuBLiteOEkhWnF1dXUI9Pn5+b6+vl999ZWxsTE4jTBy2R91CkYZgjEmk8lWrVr13XffmZiYoBoK49h/JGpTUR3q6upcXV09PT0ZYxCnpiWcKU8OHD969EhLS6tr164ymSwpKal3795wTvr+/ftjx44NCAhYs2YNYywuLs7Y2DgvL08ul+/bt8/U1HT79u3jxo3DUI2MsStXrhgaGubk5ACnDPOqrq7Ow8MjJCQEKgDivxhMRQP8QXqutdSGYAp8SmhoaJcuXeCg4SdqimpqahwdHXv16pWSksKE/f/jkRCReEV7KyAFY6ywsHDlypVqampdunSZMGHCli1bzpw5Exsbm5ycnJiYGB0dHR4evnz5cnV19e+++w6vMkUGnOpMqeaureqMP5AzFZmMIUFMTIyent533323cuVKjH4twl9gTunRUmQ8Y2Ji9PX1u3TpsnbtWtCicopGzrZqUesIexV/RERE2NjYMCFWFt3GmjkBhYrgR48eGRsbjxgx4vHjx6dOnVJXV589e/aTJ0+WLFmycePGQ4cOzZgxQyaTJSQk9OnTB27JNTU19fPzgyvdVFRUpk2bBnnevHlzwIABdnZ2zs7O7u7uEORBJpO5ubmhUzkU2iSY0mHmiEFZxKgq/Vf6u02oDXWm+GP27Nnffvst7tgtZMObSoPzUupLrzQHIOkJFmroEJVFx4J+wiRDxhEHGtzb8XO54LovfSVdyXl5eZqamnp6euBwQ+3CHxWecsQhhilaM7Kzszds2GBvb6+mpjZgwIB+/fr17du3T58+PXr06Nmzp66urru7+4ULF/A4Ly/wdyLnXKC2bTVHfOA4wfqBrSgqKlq2bNnnn39uaGiId1aDRE/riSMoFxxLEZQhn7KyskWLFn399dejR4+GE89McgzhLxxNnMNQ21u3bmloaEBAbqZ4cqR5MIVZ/fDhQ1NT002bNi1fvnz79u1TpkxxdnZOSUnR0NAYMmSIqanpjz/+GBcXl5aWpqam5unpOWzYsP79+xcXFz969Oinn36yt7c3MTEB1eqNGzcGDBjw66+/Ll26dMmSJaAfqK6udnZ23rJlCxNiHjU0NKiI2kPXISfYOjHgBb6lkIRGMZ54b7W5TMTalDNFtqWqqmrYsGF9+/YFLTJKTC3kQXhFYuTWzGY+F205jPS8nLhY4zIQpYR/RTucKGeK0ZgJR7xfGbFmiopAopB67969Tp06jR8/HvR01CryIca6FUQ3J0a2BBEOpqWlnT17du/evVu2bAkNDd2/f/+NGzfohdLS3YU10cnvU1X6myMBSuAvKkMvXbo0fPjwf//730uWLAGlJ0/MaLTncUwRj7AUOtBRUVE6OjqdO3cODQ2FULB07lHM+ksIm/Py5ctdu3Y9ffpUTg5xScGUTngmWP8ZY48ePbKwsLhw4ULfvn3nzZt38ODBKVOmBAUFmZqarl69Ojg42NTUdNWqVUlJSWZmZoyxkpISa2vro0ePpqSkmJiYVFVVRUREGBkZPX/+PDExcfTo0aJ6VlVVubm5hYSEYMWaBFMcWiZ4GzQvCGB7OEWHuI8WTOmcy8rK6t+/v6mpKfiXtAQaeGUkwlC+CemJTnH8kCne3k7/0jylmdD60EJ5xTNatJJ0+UlVZjQ9J7g6wsPTp09//vnnixcvZpIViG15t8H4MIS9xwRdJE7IZr5CERtT0t5r2xrSvsKeFMXoqqysXLx4cbt27YyMjK5cuYKJGWFaOUXvcemcEU0wyCQ3N9fT0/Obb76xtra+c+cOdhplI9q2vW/tCiyRtgifNCPm05nPCJjevXtXT0/v1q1bRkZGLi4u8fHxDg4O/fv3x1sqzp07Z2lpGRISYmRkBD4bhw8f1tfXDwwMNDIyqqiokMlkU6ZMmTZtWnR0dLdu3UxNTe3t7W1tbWETqq2tnT59ekBAAC8EeOM4ToVXPHDGFC8pEvVsaWnpzZs3jxw5sm3bts2bN0dERJw7dw6OLSNh7Di6xprHghbS+4ApnbvIT+HcBbdET09PqCrcj/TWrN6TRGu1KT6o1URzoBDZTDLpv/gVTJIdO3b8/e9/3717N1M8EYSL8C/nTylRKMFWUAUo5cVoMjoQH6hitIZYIvhIMsauXbtmYGDwzTffrFy5EpwKgL8R1ZAn+25TRdDfGCGFMRYdHT1o0KDu3bvv2LGDzkCqo6S7afNb0ft0hbQ3cBaVlZVVVlbiQ6jDkSNHbG1tIdCidPbCmJaXl9+4caOsrCw9PT01NbW4uPjOnTsXLlwA9OB5/vXr1/Hx8Wlpabdu3YL1XlVVdenSpbt37yYkJAAi5+TkXLlyJS8v79y5c+Hh4bt37965c+fVq1dB85OSkpKZmckLIqACmCKzhr2J/V5WVhYeHm5jYzNw4MDu3bv/+OOPPXv27NOnT9euXbt169a7d+/hw4cvW7YMD9vg0kJpuk0mZVuBKe4WsLTAWhoeHt65c2c47kJv6xZ9/p9JdPV6enr+85///OOPPxg5WkP1PB9o1bWCcHE2CiTVQbWEaf2gdeM4TiaToTtXVVXVkiVLunTpYmBgcOnSJej26upq8Et7z+0KpEyE7OfPn3t6enbo0MHOzg4ignOK95sBaqDHe9u1/v+R0s0bsKygoGDWrFngRkL3jIMHD44ZMwZCugCJRDr0f5Arc/ySOoTx5G5UfNLMlOAF1wusP/xVgcmE/YsaCkhaWlrq6+vbt2/f77//3tDQcOfOndevX79z587Dhw/T0tLu3r0Ldys6Ozv37t37p59+GjFixLVr17CuOB5Y8PsMSZuAKRNmDPImKAS5u7t3794dI5VwivrKT3gKPyoqKmxtbfv16wfBU8DXHbalj8fVBolXJKxqY1sctG81iY4AoMyelJRkbGz89ddfL126FNW4YKCXK/rki1rXfHG0IE7Qm8NtY/X19SdOnADe6ODBg6Jj0NhLHxRMeUUmGjsH3I8cHBwgLDe2fe/evTY2NhC/RtQuuXCiqVG4r5tun3LBgYwXOHGRgEIlFeSFsQfo38lZmwAAIABJREFUkMklNiTGmArtqUbhpBT08u+//66urt6lSxc/P7979+6VlZU1ZaSWyWTZ2dnR0dHGxsadO3eePXs2XiIk2kv/KjClhO2vq6urrq7GJldVVRkaGg4aNCgnJ4cpyt3/yYQzBp3sMjIy1NTULC0t8aIeNHmLNqG/nCi/LFokNMGfXB9ENFxQr1+/XrNmTceOHfX19ePj46GfQULCmAlN3WrVEjDFfkDlGyccjmSM5ebmuri4dOzYcdKkSRDVBXupUYiAxzURVbJNiML9mzdvamtrAdZv376tqal5+vRpYFehAgcOHLC1tRXpTIFQDsYeQ1M7bki0adAoepyfU0Y4UhxxucO9GfFXRcQhQxvKy8udnZ2/++47JyenzMxMuWAUxpoh/POKRozq6uqtW7f27t27Z8+esbGxorGU9t07URuG4IOxwc5iAneQnp7eo0cPS0tL2Lcpk/6elf/fSxSP5EJI7NjY2C5duri5ueElbk311Z/P90kr0CgJJsA3QX9OfSiS8jx/7949Y2Pjjh07+vr6wu1hTNBHYWK6GTSTM2tWRBWtf5RHGWMNDQ2RkZH9+vX75ZdfoqKi6C25XBNq2TYkWnmqfGOMubi4LFu2DKrKCVEr7ezsCgoKaKNEuyY2kBP8bTkhpiXVSqGHGbpONwWpIh0RVSv/PzAFzyfkLBhj+fn5Dg4OHTp0OHr0KFXPc8TozBM+GXsBuyYnJ2fkyJGdOnWKiYmhRcJbzOpdqW3BFEg6QWNjY7/55ptff/21kQSvfM8S/88Q7a6DBw9++eWXAQEB8IrKR7xErvzTaigtS/QEJ+SfP6zYOahxKykpCQgI6NSpk7a29uXLl6FKaCbCwP4onOKHjCBjIzmEig/pLkJbim8RQSiD/OzZsylTpnzzzTeurq7ZwpHzRuGQ1YfuGfyXwtGdO3du3rxJZeLg4GADAwPUmfKE4+YElp/ioAhkcRTwq+Z9GBDfRN1Iaw6vVDiOwwOCHMe9fPlyzJgxXbt2PX/+PCNsM1PcAehOwiuynDDeFRUVVlZW7du3h1C1nCI/3Loeb8NrS7DTUcmCwj5jLCIi4vPPPw8NDYV/8e3HphD8cNTMxOJJzK3Fixd/8cUXeIQM5SacnShU/kn1bqLmIoj/q0i0hScnJxsbG7dv3x4ZUgA4UKfgcuUkzhKYibS34SEeqMVQcoysf0bCFfICu8cR59YdO3b07t37559/PnbsGIXpD92BuBNAk2tqarDOlZWVRUVFPM9HR0dD1HN/f38ICSYnkfp4YgKl7Dz6etKNBH7jTWv4oQjfaNv5ZpXsKhzhkBsaGmbPnv3jjz9eu3aNKUaFYIq4KcVEnrjIwDjV1NSMGzeuW7duELulkUTBaV1ftyGY0rbwxPKGfe3r69uhQ4fLly8zSTTJv3xN/iWEk4kpetFNmjTpX//6FzhyIG5iTyKY/mmd1nxB0nFX+uoDEa7S+vr6iIiIHj16aGtrnzlzBt5S+VHab6L+pIufCUwMzuFGxai4cnIlLUVz/A15ojaQMZaWljZ27NgOHTr4+Pi8ePHiQ/ufImTTZQhIB3BRWlrq7Oy8dOnSgQMHDhkypFevXl9//bWLiwuY6eTCtaY80Tri8QeppUfaECpXKU0smvlKSYWRNRAaGvrll1/C3WE4ckqLl2ZKd0t0PiguLlZVVdXV1cU2gzaEYn/LqW3BVPSvXPDygWlXVlY2ZswYdXV1vDqpkZzObnkpuDfSwRAt6beu/7f+bgW1GjtEYFRWVmZoaNirVy+4rQ89b5CXRwbhfWr7v5qkCJ6Xl9e5c2dLS0tYFwgcVD5V+jlyozgh4S0yobC4sNsRX8DpglNmdpMTsyGvaAIJCgr64osvwK34A40g8tS8wI3JFW+uhnJPnz4N9+v069dvwYIF06dPDwoK0tHRGTt2LKzQpmooF/xMqqurX716lZeXV1NTw/O8TCZ78eJFXl7eq1eviouLqU621aSCjOS1a9e++uorDw8PrASOEx0D0fdKFyS9uejOnTsdOnTw8PAAXS+eBWhFXdv8qmdG9gCqmYbNMD09vW/fvmPHjgW3Ycq3tjxzTlGNKALT1sEorXkzmMgrI2lWrQZlnDlpaWl9+/YdPXr069ev5XK5TCaDscaDc//JSMokaMgYe/r0ac+ePeGqGI7j6urq0BKCJJozTEC6Zgqi2gAqxYvkX6ZoPUfbC6dotoa/I0aM2Lx5MyMxRNqWECigAtTJHd2KNm/e3LlzZ3t7e7g+VldXd+LEiWVlZcuWLfvss8+0tLS2b98OR4fKy8t37dq1evVqCOF27do1nufv3r07YcIEe3t7S0tLe3v7+/fvM8auXr1qbW1tbW1tYWExffp0PHn0PjzK/2/Nr62ttbOz09DQgMhjiAJyEvRfaUmiBc8L0h8AE2hhgoKCOnbsCLEV6Ix517p+CDBFQlGIJ04Yly5d+vLLL728vCANTrtW5K8U+BDKecK58IpcjPS3NIeWV0CabctnjyglR4yKFy9e7NSpk7e3N3pB8IQrbx4C/pdSS7pOmoAT7qD+5Zdfdu3axchtxqhHakb64Xk+JSVl/vz5np6e8+fP9/X1PXHixOXLl0Evx4ibenl5+cmTJ8HkTfkA6SBKNQM4ycvLy42MjDZu3Mg+GJgy4jODfDe24vHjx3Z2du3atVu6dCnEyqqpqVm3bp2dnd3Tp08DAwPHjh0L95itXbuWMVZYWDh37tzx48dPmzZt9uzZV69e5Tju6dOnAQEBQUFBwcHBu3btysvL43k+NTV169atW7duDQkJ2bdvX3FxcfM93xJSgWZcuHDhiy++AAGfig/UgUPpgpcSvAUnAXS0UldXd3JyAufbpnQTb6UPxJkyRRcQNMfBq+3bt//tb3/btm0bk5jwWpK5SF5T+vlbO1P0odL0vCI1lcP7kFIwRWVcWFjYv//97507d9IuRS/F9y/9Y6O3DqLSbocnz549+/nnn3/77TdG5FxOUQ1KM6GDGBoa2r17dx8fH2dn59mzZx84cODy5cvS+2mysrLMzc3pPTq8slAM0gpQt/aSkhJDQ8Pg4GDWxGmi9yeeHA3gid6W47gDBw707t1bR0fn3LlzWFXG2OHDh21sbHJycl68ePHkyZObN29Onjy5S5cusDkVFxcXFxfX1tbi/JQWKt0VWg1KlFQ4jpPJZOPHjx82bBhYx+gBXo6Yp1CrQjUsUsEEgQmNNoyxsLCwrl27QihAqDFqQ1pOH5QzxS0EeQTcRRYsWPD1119fuHABKy8SxJohpbgm7TF8ziuzHmJHiXob14Y0W9r/lOWRK3Ngah1xxL4Bs9bd3b1Dhw6XLl3CBKJ4P//HiDZKOprNdPLz589//vlnCC3MSUxJNH9egtcbNmxwc3PjOK6+vl4mk1VXV8fGxsLKio+Pnzx58tSpU9PS0l6+fDly5MhFixbNnDnT39//1atXfBNbOy2LI/oBxlhpaamxsTEEmmsKmN6TEEnoiaHCwsLp06d/9913rq6ucAafCfYlxti+ffusrKzQz5QxVlFR4eXl1b59ez8/P1H+qIRFrSgnONhCbjKZrOXLuXlSYYxdv37922+/3bt3LzzCTsf+RccCTtGBAEEHiJoaMXAfDEBVVdWgQYPc3d2Rn29F1T+cAQqe4IX1wG2hsP/69evRo0f36tUrLS2NCaEksbHNtELURdAnaBOgXYfgiD3JNUGiQcE6cBKXAylec0JoIo7Yi9+nD6G2vHC0ubKy0sTE5OeffwabgFw4FMgRhcD/JcLew42NDgTdGjEZ/M7MzOzZsyeIO7wy6VuUP6UNGzbMnTu3oaEBQtDL5XJfX9+wsLC6ujoTExNnZ2cnJyc3N7dnz54NGzZMW1t70aJFvXv3XrZsWVMZMrLkkXDmGxkZIei/K/fTEqJ8AEyk2NhYHR2dHj16HD58GLRGaIOhYAp+pljzurq64ODgL774Yvbs2aCrpCYQRFIEqDdv3sDpR8pntAGYbtu2bcCAAVA5xGy8yYtOi0YSmo/WDJNRpgmjlMPAeHt7Dxw4EK9ma0W9t27d+oEMUDxhSLFdcmJCefbsmYaGhpWVFRygFG0eTWWOzaSd0wyrSN/SGcYRXwKsNkIzliUaCFpJWjSUJRcEulb0GP6gtYXgmAUFBf3799fV1YXgm201TT9yomAqJ2GesYvolsYEMX/79u1M8GKmWYlyxh/we+fOnR06dFBXV1dTU7O2tq6qqpo1a9b69evLysr69esXGBj44MGDlJSUvLw8HR2dI0eOyGSy3bt329raMmXiLWbLE5EL/339+vXw4cMxBPIH6j3a0piYmO+//15dXR3DQiPzwQlhs/ft22dtbQ23+UJvg22G5/nIyMhvvvnGwcEBD5vifs8JDvWUn+CEY1F8EzqQdyIVmUw2ZsyYqVOnMsUowsjSU+CTk0AylEXlyX25PBFX5eS2sqtXr/bo0QPMUO8Eprj5hISE2NnZYRAtOjvflThFgZrOZroMYG5B/S9fvtylSxdPT89GEqAe4v3QqmLdAIvr6+tramrw+tlGxXOBdJZg7BXK2uAZFeSaKUEdampq4NpFZHtp/XFtM3LtLUdCLL5r12HNKfTX1dXxAn96586djh07Ojo6whTHyUpHSoQRImJN81AfCUmrh6sR12QjOZjEFDm7jIyMX375BUCKa1pKU9obQUFBM2bMgItjX758WVtb6+rqCmE6AwICBgwY8Msvv6xfv/7JkydmZmaw3C5cuGBtbU0zbKY59HdZWRmK+Upb/f5EOQme53Nzc4cOHdqhQwcI4YqTHEGGMXbo0CHkTGH6UZ3hlStXBg4cOHTo0Pv370Ofi46NQYxQmi1KV+8LpgUFBZ06dYLBkMvlcMMqLIDy8vKMjAxkf0pKSl69esUJhzRgNdbV1YHSgdYMABfWP/ZXSUnJwIEDV61axYjBR1qhZiAS7rqi92WzJlbjW4kRrxHGWG1tbVVVVWlpKb6SE+dhuXAgPSws7KuvvsKLX2h8BMxQtACOHTs2depUiHAjGldGlhl1SQHRhnYITQ+fUP/qM2fOQMDma9eu3b59Gx42NjbW1taicwnmICeOGc0s4xYSL2yivLDzQ24nTpz46quvlixZQjcP6bctL6UVlcQlyinqOpqZYC2vlTQZ3cAqKyvxKlBGPJZwV8vKyurduzcYoHDzfmtxvKAzhZvmgOD+jMDAwIqKitjY2MrKyk2bNmloaERERFhZWYFhKjo6uinOVNoc+ruystLU1BRco5rpyfcn3OwZY6WlpRMnTuzYsWNISEgDuUUGkx08eNDGxgY4U15w7JcTlW5YWJiKyv/X3neGRXG9b6OmGJOI8Zf8E0uMEZQYGwmWICBVEFSkL00UFSzYuyBqwEZAEUHsMYqKIlgRRTTGgmIHsSuIoIhSpCxty5z3w/Pucx1mFkRYBJa5P3ANs1POnHKfp53nqEybNg30fZFIlJ+fn5GRQW/mynDi6GvuGLWByv3797t27QpJSSQSyYoVKyIjI+Edmzdv7tSp0507dwghYrHYz88P5yhEVFQUGL9Z7UT/C81QXl4O26WSGr1Pcr8KjsPDw1EyldTPBsdUXR9CCDl16pSrq2twcPCdO3fAEUcoLRX27yaEeHl5qaqqwrRJex7lfkJ5efmSJUu+/PLLy5cvE5milJ6enpCQADOTSCQqKCgoKSkBgTE7OxszOZ4/f/7KlStCoZAQ8vbt2/Pnz0NS9LKystzcXHh1bm5uWVkZ9K2KiooJEybMmzevuLi4oKAACvbmzRuI+SgoKLh69So0ZVZW1vnz5yGwTlo/ayZ2cZwPsCqCg4O/+eabnTt3Es6yfUANDCK39WtfJNZzan876/ra385QSkNZWVloaOi8efPOnTtH502nu8rTp0+7desWGBhI31vD59Bl8Pf39/DwwEeVlZW5uLj4+/vDBkebNm1av369mZnZ8ePHTU1NYQlfTEyMqalpzV8ttxLevHmjra0N3vzqclbVE7RkSmS1JBQKfXx8/u///s/b27uwsJDIZBdGZjO1tramJVMI1CWE5OfnBwQEdO3a1dTUFMYLPHb37t2GhoaBgYGsLWoYarVO/WULlfPnz//666+pqanw/65du8aNGwdap5ubW9u2bbdu3cowTEZGhpubW3R0NCEkKSnp4MGDiYmJRUVFI0eOXLJkCXxJYWHhsWPHzpw5U1FRUVlZmZmZGR8ff+3aNZgxxGLxuHHjRo4cWfvCsXrzpk2bHBwcaJsp68s/aNjQOjUhZP78+bDEonPnzpMnTz548CBabQgVZFdWVmZubt69e3cYJyyxgqEkcUJIQkLC4sWLfXx8Vq9eDeLhgwcPbGxs+vfvP2PGjClTpkDWbYhIKy0tnT17dlFRUWpqqp2dna6urpaWVnBwcHZ29syZMw0NDQcOHHjgwIEzZ878+eef8Lo///zz8uXLhw4dcnFxSU9PHzBgQN++fQ8dOrRmzRrYgmXr1q0HDx7MzMycNm3aH3/84e3tfevWLQcHB21tbXNzc0jwXGfQsxEr6Q4hpKKiYsaMGd27d+dG7by3aViM9l7BjXu73EfV/Dq5nFLLV9NX5uTkDB06FPqSlpbWqlWrzp49yzL0P3z48JNPPgEBE3lE7otYZMowzJEjR2BJEugB5eXl4eHhBw4cIIRERkaamJiYm5ufOHFCKBT6+fnB7m9JSUkQhim3lqqrE0LIvXv3unXrho6yepIpIw+ESkvPUNIiwzDbtm1TVVV1cnLC9ZPw099//42Z9mm3wa1btywtLVVVVb29vXGnbiDKhQsXQot88cUXtra2O3bsuH79Oq0C1jyl1RIqmzdvHjZsWH5+PvyfkpJiYGBACElNTR05cuTUqVNdXFxEItGFCxccHR1fvXq1Y8cOHR0dPT29ESNG+Pv79+/fv3///q9fvy4oKJg6daqenp6hoaGvr29iYqKLi4umpqafnx9+ra+vbw0z5Hvxzz//jB07llZaFYhx48apVMWAAQNWrlx59OhRnMqgrp8/f963b99hw4ZhG+NgoG1kDMMEBAQEBQVVVlYKBIK0tDSJRLJw4UJra+vr1697eHh07dr11atXXl5ePj4+hJD8/PzBgwcLhcKIiIgZM2a8fPny+PHjmpqaK1euNDIySk5O/uuvv7y8vNavX29jYwO90NbWNiYm5tixYwKBID8/397e3tbWNjo62tTUFBp01qxZgYGBV69e7d69e2RkZEpKyowZM2bOnJmVlRUWFmZkZAT96YPYCoHsiR9OOycJITk5OSNGjNDU1EyX5R9qCcjLy1NVVaU70meffTZmzJiNGzdeuHABKvzVq1eqqqr+/v6kas4R1qO4kzQOJYnMO0p7IGu4F6+RO3Nw3wtPu3v3bteuXffv31/n2qgnLl26NGDAABsbG8jvAThy5IhAIKB5oLy8fMeOHf3797ewsOBO3hUVFaNHj4a2aNWqFRx069Zt+vTp+/btgy0GAHUbCAiVZcuWmZiYEFlj5ObmjhkzJjs7e8+ePW5ubs+ePTMyMsrOzgbbH8MwM2fOjI6OFgqFs2fPtra2dnV1nTJlSnFx8b59+0xNTZ8/f/7w4cOhQ4dOnjy5X79+J06ceP78ORZx27Ztffr0CQsLW7t2bUBAQEBAwF8cBMjDX3/9FRQUNGrUqP79+/v6+gYGBq5du3bt2rVwfv369cEyrK8dgoKCAgMDg4ODAwMDN2zYsH79+t69e7dq1ap169asSm/Xrp2VldXatWvPnj2L7ffff/916tRp5syZMAHKNXu9fv3axsbG0tIyJCREQ0Pj2LFjr169cnR0PHToECEkPT1dR0fn5cuXU6ZMgUGVm5uro6NTVFSUlpa2adOm5cuXe3p6durUycXFZcuWLfCWnJycnTt32traQmMJBIKjR48eOXIEjCfe3t4bN25MTk4ePnw47I0+e/bsdevWpaSkDB8+nBCSkZGhp6cnEAh8fHymT5/+448/3r59m/aW1kH6oEUnmluBIO7evdunTx9zc/PDhw+fOnUqToaTJ0/GVYNTp06dOnXq9OnTJ0+ePH78+OHDh6Ojow8dOhRdO0RFRcH1Bw8e3Lt37549e3bv3r1HHnZT+EcGuHj37t1///33tm3bttaILVu2bNmyhf5369atK1euhM7zySef0B1JRUXlp59+mjRp0t9//3306FENDQ1cpkmqsRRJqcASOIOeSaRRNC/ABaBTonsazdkI9NjQHhhum0J57ty507t3bxsbGxgjDYF169atW7duzZo1AQEBgYGBq1evDggIWLt2bWBg4F9//RUeHj5q1CgVFRVtbe3Vq1fDeQcHh759+3p7ewcFBQEPeHp6fv7555988smMGTM2b94cEBCwevXqoKAgeNSiRYu6desGbYHARtHR0fHx8YmIiMjIyMDOXJ2+UjNU5s+fb2ZmRigTjLe39969e5csWQJuDVtb23/++Sc4OBh8R0ePHv3zzz+nTp06cODAZcuWLVq0aN++fYSQadOmaWlpTZ06ddq0aV27drWysrK0tIR3oH/zwIEDn376qUpTBVRx69at4YBV6WpqakeOHAEjJiEkPDz8888/hw1q6BrHg3Pnzv3666/jxo1zdnYePnz4uHHjHj165OrqClmChEKhoaFhVlbW1KlToWIrKysNDAxycnI2btyora09d+7c1atX9+jRw9bWdvfu3fDMtLS0jRs3CgQC+NfV1TUmJubIkSP29vaEkPnz5wcHB9+4ccPMzAzMvtDhbt++bWZmJhKJ7t27p6Oj4+bm5uPjs3Tp0o0bN2ZlZWH4VG08IdwBjzQK/YcOwgWaiIqKUlFRadu2bYcOHTp27NixY8cOHTq0b99eVVW1Q4cOqhzQl3355Zdt27b97LPPPv30009qh08//fTTTz/97LPPcF5sFLRq1apNmzZt2rRp3bo1lITuS7q6uj169Fi4cCGhwuy4FYssybVrY83DAfpCgUYxKpFWXWkmFcl2OSPVSMRw1/nz57/77rvGq0VFonXr1m3atFGRNQ1rdGtqasJCfrlOtlqOCBV/f//hw4fjah9CyIkTJywtLV1dXYElg4KCLCwsvLy8zp07l56ebmNjY2trGxISMnHixMWLF8+fPx+Guqenp5WVVUhISHBwcHh4OAiS0GYYWxoWFtanT5+IiIiwsLDg4OCQ2mHjxo1hYWE7duywt7fv37//qlWrwsPDN27cuGHDhnXr1sEs5O/v7+fn5+fn92ft4Ofn509h+fLl6urqWOmsZujSpcuCBQsOHDhw+/ZtjCL29/dXVVU9duwYawBAHZaXly9fvnz69OngDrp7966Ojs7NmzfnzJkzdepUQsjmzZt/+eWXgoKC6dOnT58+nRCyf/9+TU3N1NRUMzMzsIrGxsb27t178eLFwJXJycm2trb+/v5gKrl37566unpcXFxsbCwEvsybN2/NmjUPHz7U1NR8/fr1u3fvhgwZEhoaCpJpSUlJYWGhk5PTmjVrCCGZmZne3t4Q+C0WV0mmW8uuQw88WuphKANieXn5zJkz27VrN3ToUAMDA0NDQ0NDQ319/WHDhg0bNkxfX9+AA319fT09vWHDhhkaGhoZGZmZmVlYWIysNSwsLMzNzS0sLEaPHm1tbS0QCJyrgYuLC/yFA2dnZycnJ0dHRycnJxcXl7Fjx06YMMHT03PKlCmTOZgyZcrUqVPhpylTpkyZMsXDw2Py5MkzZ860t7fHLsTtS0OHDg0KCjp8+LCJiQnEI9JcSU9OSHkwNp88eeLl5TV69Gg7OztYYyYWi1NSUjBQD2OiMR0qNs1///3HWr9HhxPRvEwo6w0h5OzZs999952zs3NQUNAHja/qBh0XK1euXLt27bp160JCQsLCwsLDw8PCwjZu3AgL53GkBwcHu7q6qqioDBkyZNy4cUOHDl2wYMH333+voqIyYcKE0NDQkJAQIIQNGzaEh4eHh4dv2LAhJCRk27ZtS5cu7dy5M7AnikqAVq1aWVhYbN269dKlS5BSlkWdH0am+/btGzRoEBjIoWEePHjwzTffWFlZwT5Ojx8/VlVVtba2Li8vj4uLw53ULC0t586dO2/ePHDx79y509zcHHhz0aJF3t7e4GJGkUcikcycORP0zbphx44dLi4u4FpROOzt7Vm9/9NPPzU3N9+2bduNGzdY4Ur79+//9ttvAwMDhUIhMghNpunp6cOGDYMoP4C7u/uaNWtSU1MtLCz09fWHDh2qrq4ukUhOnDjRp08fExMTe3v73r175+XlBQUFwZlBgwapq6ufOXNmzJgxurq6ffr0Wbx4cWpqqoGBga6u7qRJk7p37378+PEjR46MHj2aEBIaGtqlS5eYmBg3N7eBAwe6urpqaGhs2rTp9u3bxsbGYEVNSEj4448/9PX1NTU1Fy9eDFEKtSTT6noVbTWGyAe4UiQS+fn5ffXVV9u3b3/+/PmLFy8yMzMzMzMzMjKeP3/+/PnzjIyMdA7gPODFixcvX758/YHIzs5+9eoVpFbLz88vqB3y8/Pz8/Pz8vJyc3Pz8vIKCgqKioqEQmFpaamQg5KSEvhbUlJSWloKoXVCobC8vPzGjRvt27dnceh33303ceLE6Oho9O97eno6ODhgxdJEhmcksljjsrIyd3d3Dw+P3bt3z5w587fffktMTGQYxsnJCSNP6OagW0okEq1atQombFI11TSOTW5DS2UpO7p27Qp54hsdeXl5y5YtU1NT09PT09PT09HR0dDQ2Lx5MyRAqQHl5eU2NjYqVZWD7t27+/j4xMfH08tSAR9EoDRUrl+/rqGhAd58DC/Q0dEZP348VGhJSYmGhsaECRMIIQUFBQKBYNCgQSYmJr169QIV9ccff7x48WJRUdGECRMGDBgwYMAAV1fX8PBwW1tbekObyspKZ2fnUaNGkWr2VqoBcPHmzZsFAgHEbNbta2uAv78/VnTPnj0quNuxAAAgAElEQVT9/f2vXr2KTlhUuAghCQkJnTt3njRpEqz5oe1ZcCAWi4VCYUpKCiSjk0qllZWVL168gIH05MmT2NjYxMTEP/74o7CwUCQSXbt2LS4u7vHjx3fu3JFKpRAweOrUqZSUlNTU1NLS0hcvXpw4ceLcuXOFhYUMwzx69OjkyZN3795NTU3Nzc3Nzc2FaS8nJ+fMmTPZ2dnPnz8/ffr0lStXUlNTX79+nZ+fn5qaCn5PsVicnJx8+vTphIQEmJZYq1drqFi5nQy/GkUhHMy7d+9u27Yt5BxqCYCvLiwsNDExgY7Url07U1PTv//+OzU1lRYCGIZZvXq1kZFRXl4ezX109dK1eufOncGDBz969Ah++uuvvxISEuLj41VVVcGzv3//fgsLC29vbwgYKisr27Zt28iRI319fQsKCpYuXQpkGhcXt3fvXkxQj3IA90Pg5N69e7t27Xrr1q0GqzP5kFK7j4BABuURi8Xh4eE//PDDZ599ZmZmlpiYiNejNI1LtOkPWbVqFZBp27ZtjYyMIiMjHz58iGGnTNWMTnVzHhBCVJ4+fdqlSxe0/UGZsrOzX79+DXUtEonS0tIgXJ8Q8vr16xs3bty5cycjIyM7Ozs3N/fOnTuwyBKCGa9cuZKfn19UVJSZmUlbbYRC4ZAhQ4CU6dFbSxBZnCm9KyELcu0dNV+JtB4bG9uvX7/Ro0cfP378xYsXWNGECt0ghDx9+rR3797GxsbYI2ke4Qp3qKzho+BAJBLp6urSod0AIOjqgMXgooYgBwm1/IllfaOD6t9LptWVh5EteGVkO54TQo4fP96hQ4cFCxbg21m1hLdzwRWX5Dbie8tWM7hXfmgN0HfBShZCiFgsXrVqVefOnVesWJGUlARDA68vLy+HSMGYmJhffvnl/v37TFVpFA/QR1RZWfn27VsdHZ1Ro0YdOHAgNzcXwiq3bNnSvn37jRs37tmzZ9CgQQEBASNHjrSzs5NIJBEREUOGDFm/fr2BgcHy5cvXrFmzcOHCuLi4nj17Hjt2TEJtNsdwllEylNnB19dXW1v77du3jLx1sfUHtjX+Sy9Yh5Oo12LXWrp06W+//Qb6McMwUO2sPBWswXj48GEtLS1vb++UlBQ6zlQiW42K6TexD7A6SW2g8ubNGw0NDci2gqWB36SyXK2sPlddr5L7AhwVGRkZPXv2hIS45MNjQgkhIO0CmSId0w1TezKlnc44EnJzc2nxQUIleYTS5ubmamtra2howOoLuisQ2VTPMAza/rG/SindCr6otLR0/fr18DpWlwIrM2rfuL8NLsqkO5lUtjAUl8Thp9ETu0S2kJShrGas6qoDldD9lRZzkpKSOnXq5OjoCHODmMqxhrdU9yLuYKju4pqbuPadoQ5glYE+EIvFhYWFL1++hISTAKksbShWV0JCwo8//gjWT1aZkeOwVgkhiYmJxsbG6urqGhoaCxcuFAqFb9++1dPTS0lJmThx4vr166VS6fPnzw0NDRMSEtzd3UNDQ6VSaUpKysmTJ9euXfvLL7/89NNPGzZswNW9yFxy65/IUkZNmzZNsZVWc2VKq+5qRV8vlq3Bh7X5uEkBbaTCASuVrSIBCIXC/Px8WkLCbxfL1mqz5FlW2WoDFalU6u7ubmVlhZ4+QmVKlshy49PBFlJqJaWYylzHUNMIdg70VO7du1dDQwNCbVnuy/cCvgqWk4Lq/UHDXi6wASSy6BP8CRexSSkpqayszM7OrlOnTqD1SGRbQRCqE7CmWRZlS6vmP8cmJ1WDDZmqxixkE9a7sFoYGZVjGVgPpAUKHKhSSpMite5ArFEhoXblxZ+ePn2qqalpZGSUkZGBha9nY9UwOOt2L1M/GYT1EDgpFrN3Pme9DudahmEyMjL69eu3atUqvJFQVUrfQgjJy8srLCysqKh4/fp1WFjYzz//HBYWVlFRYWZmdvv2bXt7e1ySN2bMmPDwcGdn5zNnzkAZSkpK/P3927dv3759+8jISCLrMLAinKFkBbrYhJDU1NROnTrRCQSkH2Kaq0N94vPltheEKBBC9uzZY2tri0u0kUAJNbLo+qQbl8W5DJVKja6BukEFCtetWzfgCKksjQqsYsK+wuoTrCpgdXFGRqNENnUQQlxdXYcOHcplrlrWNSFk8+bN9vb2WIlM1YmrDkMCyY5mQHwsZhEkhFRUVMyaNat9+/ZgDykrK2N9OE3uOC0xMtqic4ix3kILI1xwHwvnsRrxSpzM4S8rkSjrgdhAdRgeWB6pVIruZqlsb8uCgoIxY8b07dsXtDBJ1SQU1T2Ke742zSq3xli3MB9IAbV5bw3AwUKoqFtCzTQoixBC5s6dO2LECFw/jtIJI5tNUWyMjY319PTElTWzZ8/28vJ6+/atsbHxy5cv3d3dN23aRAjJyMgYPHhwfHz8uHHjYA1oTk7OqlWr5s+fD2mkR4wYgYodLZExFJkysuF58uTJn3766dKlS0QRsgu3brmdk74SpQ36YqjeiIgIzGeKlUwLs/RzJFW9ozhGWMIvXl+fD1QhhDx69Khbt24rVqzAcSiWJcgQU5lU6EmY1UXwWCJbpo0FhUc9e/YM0+SgeaL2RYcrw8PDWctJ6/P93OZkTRs074eEhLRr1w5ypjGUMsIaLYxMSGT1TgAdf0YokZOhzA6kqixJFxVfjcOSVYd0A1VXRVxRkVuB1VUpwxly2D2glsrLyz08PH766SdM+QMpb2p+Jhdyr/wIkPvqmk9yaxL7ktxqRwWCEHLw4MGuXbuCF0Uiy/+AQhPm7yCEZGdnGxkZeXl5nTx5Mjo6evjw4fv27ZNIJH379v37779DQ0OHDRsGsS7W1tYikWjXrl3a2tpbt251cHAQCARz586dPHkyIcTJyWnRokXFxcXwLlztTqpmjIPut3z5ch0dHZrrFVLJ761euWcYSgnYu3evlZUV7TtBiqT7NkvtwBbhSnKK6nX/f9uSJUuW9OjRIyMjg8gURpQ4WHLye9+NtiHUVgghixYtUldXf/PmjVSW0a4Oc12DZtonHEsiduXTp0937tx54cKFtAZNmwhbCOguS2+Wh70zICCgY8eOuMSANanwIFVlpadPn/76668gVBJO0ltwVeG0euXKFScnJ319fV1d3WXLlgmFQrFY7OfnN2vWrOzs7JCQkNGjR0+fPv3hw4disbi8vDwkJGTMmDGenp5Pnjw5ceIEZJy5cuXKokWL6BgV5G7aKEQIycvLGzRokJeXFxabNHY7IplEREQgmTYpqEhkG0x269Zt7dq1TNV9OxhKYSSc2pQr3eCQQzJ6/Pgx5MhBj0rdmKihyZRwdoIjhFy/fr1fv34ODg6wQFPMWS/UopgCp0k0qaOVNioqqmPHjsuXL2eRwoeadJQbDKVsEkImTpxobGwM0h+utZfKnIpoZ0N9/9GjR+iMri5+A+N8WaBFS5BpUO5B2Q1H5aFDh7p37w4ZHWmpqBHRDMgURX1vb+8uXbpAPj163w5pVdMbfTO3fmmxDg6EQuGkSZN++ukn+HiIdqQ9y7VHQ5MpKgXY7TIzM3V1dQcPHox7JEhkO4vgnNFC5FOoGZSqSFWZNDExsVOnTu7u7uC+x8zn3GCsFg6cqsHmA6s/YMM4XAmKRkCWM4ruZijoSCQS3LmStQuGlDLCAnviRsoikai8vBxDOHF0w+1isdjY2BgSPhAqYSYvmdYMFezuL168gIU3sDUKzSl0Q9JmCDyDf9GugdPjtm3b/ve//+3atYtu/roJLB+BTAm1PUNZWZmDg4OamhpstE3LpKwYo5ZDpngslQUDEEKePn2qoaGhq6sLazQk1F6ETWQcNh0wlF9BIpEUFBSYmJiYmZnhtkXIttDTMMUcrQ+Rqino0SwANQ+7HkgpwPQvkTkD8cm0X1QqC8IjhMTGxnbu3BkN39KqnpLGQjMgU5wkCSGJiYnffPMNLB7H9qbdYYSaWomsZ6BaR0tqcMH169e//fbbqVOnYocgHMNw7dHQZCqhPE4SiWTBggUdO3YEqYH+QFpM4IoMSgm6vZBDQRp6/fr1sGHDevbsmZ6eTjhuMXo+bpyiNzEwlLMR6iQ6OvqHH36AJA8sXQdnLIZyTqL4icxI/4tnuLG9RGaloZOhECqoDnlgzJgxenp6uBUN3tsoNYZoBmTKVI1q3L59e9u2bX19faHcdDwpi0QkMnc2bUDEyZAQkpSUpKamZmho+O7dO24weR1G10dwQOECpLCwsDZt2kBaXCJLJEH3LYTSMymR9WNwzUPEGBjsiouLBQLBt99+e/36dSIL/6juCR+1xE0VSKYikQii+isqKkaOHGlgYIADBMcUPXnjkg1kWK5QiZUsqRrzJ6WsrnKFIWhZqWwp4P/+97/IyEgk9DpvF6ZYNA8ypV1MUqk0ODj4888/9/Hxgewe9CY/tKET1AQ45s6BN27c6NWr1++//56WlkaqeirpiKIPQkOTKa4IPHjw4FdffeXn5yeVxYphf6qDQK0EwEEO5jls5Tlz5nz11VcgvEtk+9Gyaqll1lh1QP6iZcx///33hx9++Oeffwil67BcQ1Iq67aU0vFZGhKt9gGwvaRVtXWmqqIJv6anp2tpaTk5OUGqSZClwLRKGlu9aAZkSjhSg0gk2rBhw9dff+3h4QHrJgFIiCiK0u4pfIhQKIyMjOzevbuBgQHcThtx6IXqHwpFkSmtQ6GKhIuyzp49+80334wfPx5NE/RX1/PVTRNyyQ5bViLLH0HPiISQkJCQ9u3bQ+JqWp76yIVvRkCBgxZCCSFisXj8+PF9+vR59uwZoVZ147CizaOk6vz03rmK+yst+hAZn4Js6+Xl1alTJ/BC45htIl6BZkCmrKkMdfBdu3b16dOnR48e27Zte/v2LaoJILtJqPyJiJKSkqtXr44ePbpLly6TJ0+GnbCAPZF/mwKZEspxifImSNlpaWkaGhojRoyAQCiJLDkILVA3hY7V0GCodXjYMSAMQyILhOratSuqL6gntpD6qRtoFkO1HYZDWlpav379DAwMIDEK7ZfHWmUt+qj962jQCr5UZsGDzr9nz562bdvCdlK0BZaWkRsRzYBMWdMOQ21Im5WVNWnSpM6dO+vp6YWGht66dSsnJ4dFhSKRSCgUPnr0KD4+XiAQfPfddzo6OnFxcTij0m7EelJS3chU7ruwY4lkG9MTQvLz8y0sLLS0tJ48eUJkHRqNpPTMIbebNl/UUG8sQMcAa7izszMkaqF9IDU8kAerziWyDBggqVy+fPmbb76ZNGkSBpaxrpdS7ibu02pZAJZQjJrErVu3evbs6enpCW9HJqUDARVcHR8I/NKmS6YsjoAD2sKSkJDg4ODQv3//bt26mZiYzJ49OzAw8NChQ0eOHNm+fbuPj8+4ceM0NDS6deumr68fHBwMuekYhmFl/MbRWGfLS53JVO5J2kYhlUrLyso8PDx+/vnnq1evEsrviZJpfUreLMCtKPxkWhF5/PgxpM1//vw5kVlIGGoObvRR15SB/Q2B9hNCSGRk5Oeffw7ZT/B62hpA1zBNox9EqSjNoAf/8ePHsPEBrIFEApVydvBuRDQDMsUi0pSHugBe9+rVq02bNjk6Opqamv7xxx+9e/dWV1f//fffIbh36dKlV65cgStpW6SU4wqsj+SiEDWf7s2EmjbWrFnz3Xff7dq1C69kGYW51mFlAmtkIocyMocJ5jEZPXp07969IZs4+lIksqwcylo/igKLTBnKLw81uXLlyq+//hrXmOJchS4gWjWkm0zui+SeRzUCmuzRo0fa2tqDBw+GeGoYsBAnjkVtCm3aDMgUj+jap0mEcJrq3bt39+/fv3nzZlZWFmvK4vYV7u11hqLIVCpzTGMJDx482KFDB9gllKFixRh5kCoXmKppIAiVQ1MqlUqo3EWwodO3334bHx+PNSmt6hKRNgERprkA619Mpd0qLy/39vb+5JNPVqxYAf4J3KwBJFM0T2MzcUmToVb60g3NyJalYBDb/fv3f/vtN319fTrLF3K33Ic3FpoHmbKkEiKz5kg5tmqur5ZuIWlV/y8qL3Ibuw5lVYjNFMc8Kk1gqxo/fjwasLAjsjiUdaB8gJrBJeFSKqUxISQgIOCzzz7bvn07qZpHnKlqHWKaxthryqArnGEYsVgMSR2RHNevXw/hNLASHwcgI0vqxlB2FcIZUFIquII1a+JJQsiFCxf69OkzbNgw2FBHIgumri4ko3FbFmuseZApHhB5A4OpmhAQLmbJJlKOoKrAstZZMqXHPJIFLoXs1auXsbEx7CAioZaK1qHwWDnNUUCjx7ZYtnsEjqu9e/d+8cUX/v7+jEwhZWVX4HIrj+rA5b7S0lJx1YzpUVFRPXr0GDly5P379+kbMRcPrT3QFwAksuTlrAugZ8JGD//3f/9namoKS9fwmdxRXF2xPzKaB5l+KGjK+JhhEwpxQAELgOqam5uro6PTp08fzD3Imsw/SAiVykKsxFTqQqaq0aMJAhuRq+mjdnL27FlVVdWJEycy1OYL0iYTgdiswVCLmugdaAghFy5cGDRoUK9evdauXYuxevRd3AGInQ1mRMhVxNIpExMTzczMOnfu7O3tnZOTQ2SKmpjar6wJNit0V9J8yZQedaSquIryF0uPaDjUU83HA0BRUZGTk1OnTp0gzxj3rroVsgn2wjoDvuX+/fudO3e2tLSEQCiQ69Hd1MhFbP5gqOlWIgslxBpOS0vz8fHp3LnzwIEDd+7cidIo3ItZoFgmKabqskZEdnb2kiVLfvzxR319/X///RdOop4hrrr5Y1ND8yZTVvOQqiHEUsq/1MTJFA+w5FKpdNmyZd9++210dDSR2Yhh00dYVFpWVgZGelHtAItr6fQ8mGwQgT/V8pmNArFss0Yo/4sXLwYNGqSrqwuL2WDoYtwMT6b1Bz2aGNmibYks/xMhRCqVJicnT5o06fvvvzcyMtq+fXtubq6o1qxXUVFRWlp68uRJZ2fnX3/9tWvXrqtXr8ZBRIdRS2S7Ljbcx9YHykOmNHXSbc+9suHKWh/JlFWw/fv3q6qqfv311wKBQCAQ2NnZOTo62tvb28lga2trZ2fn4OBgX2vAo2xtba2trW1sbFxcXOgH2tnZ1f5RHxNYNvjr4OBgZ2dnbW3t4OBgZWXVp0+fnj17Xrt2ja5JER8FpVCwhBUJteIO1fOysrKrV69aWVn16NGjV69eJiYmGzZsePLkybt37969e1dSUoKiQHl5eXFxcX5+fnp6enx8vK+vr5aWVrdu3f7444/w8PBnz55hq4lkviyUMDASqwka/Zs3mRJ5wimhrDxEnkWygQpK6hcaxeL948ePOzg4WFpaOjg4ODo6jhkzBtjT1tbWxsbGxsbG9gMB944ZM8bOzs7JycnCwuL7778fPnx4fZ75cUCTKfxrZWVlbW3t6OhoY2Njb29/+vRpwtnOj+XW4KEQ4ChjGIZOE4XUVlpa+vTp0507d9rZ2f3yyy/q6uqDBg0yMjKysLBwc3ObNm3aihUrZsyYMXz48F9//VVNTU1NTa1///6TJk26cOECLO+mX1TD0qYmOE02ezJ9Lz5mpdczzhS7pkgkKikpAS1eKBSCHgQTe0U9AKnLwYz19OnTQYMGxcfHi2QWABr1eYvCUV5eXlZWBoWH4sG/lZWVIO8QKhCCodaw8Wq+YsHIAiSYqpvLslRDIktv9ubNm8OHD69atWru3LkuLi6jRo0yMjL65ZdfunTpMnbsWH9//wMHDty+fbugoEBKLZlhiUForpFWXafTBFtW2ci0catYUctJaRWmgdSZV69emZiYwL7QzQ6sOmG5HPFX+piHooC1SkuphAqhqTmCIjo6euTIkTU8mbaQwnla7+TJtD6or2T6MaGo0CiMBGIdMPUD7ZN5/fq1vb39jh074KWsVL71fFFDgA7JYJ3hGbMRwVSN5GU1E57Ea/bs2WNpaUlfT7fyRy68YoGfwJOpAqCo5aTcNXb111ixT8PfoqIiV1fX1atX4xuZ6heWNDq4rMqTaROBXDJlMSP8C5aB0NBQOzs7OM+aHXkybWi0XDJlLcCvZ9lYD6moqJg6deqcOXPgXym19Us9X9SgYKrG8PNk2ujgkiargZBJIcRi/fr1AoGAUMYZpqoLq/mCJ1NFQoGZ9llkqqiuhj1YLBYvWbJk0qRJRCarVlRUSKva+JsOWEWScDK982g6qE7Th78rV650dnYmlOFbIYpXUwBPpoqEApNDs84rpKvRpMwwzPr166Fbi6gEwIp6l2LBcMzKPJM2I2AzwRTu4eHB+lU5mpInU0WioTfUqydQTIB/Dxw4AK4A2gSpHN2aR+NCru5PCBGLxXPmzFm6dCl9jdL0N55MFQnFkmlDSKa0FHD27FlDQ0NIJIHLn+v/lsaC0oxJJQC3LeBMWVnZ+PHjN27cWN3FzboReTJVJJq4ZMoy89+8edPU1PT8+fOE8no1697MowmCNokWFRWNGjVqz549RBmzdPNkqkg0cTJFQD/OzMy0srLauXMnqbq9R2OXjodSgVbzS0pKDAwMTp06Rap3FTRf8GSqSDR9MqXNpiUlJS4uLn5+foTaBkb55AUejQugGHBvFhYW6ujo3Lt3j/Bk2hjgyVSRYLmY5s+fP3v2bEKt3lO+Ls6jcQE9CnpXenq6trZ2Xl4e4dX8xgBPpgoDsiSung4JCXF0dKQ3+eDNpjwUDmSZixcvamtrC4VCwpNpY4AnU4WBGx4QGRlpYmKSlpZGZMvzeZspD4UDe93OnTtHjBhRVlZGmrnjXi54MlUkmj6ZsgTPmzdv6unpxcbGElnoPi+Z8lA4sEctXbrU09MTl4coGXgyVSSaOJkisHOXlpaOGjUqPDycEIJBpjyZ8mggODk5rVmzhpGl7Gvs4igYPJkqEs2FTAHQ8DNmzJg/fz7GRfFMyqPhYGBgcOjQIcJxhCoHeDJVJJojmYaGhlpYWGRnZxM+mzIPBUEuUebm5g4dOvTWrVtESTdB4MlUkWiOZHrx4sWhQ4dev36dVI2v5sGjzmARJfSo2NhYExOTFy9ekKqJ9JUGPJkqEs2RTIVCoaGhYUxMDFHSLs6jccHIcj4sW7Zs4sSJ7969I4TgXlKNXTpFgidTRaLZkSm0vYeHx+zZsysqKogyugV4NC4wYl8gEISEhMBqqMrKysYul+LBk6ki0ezIFKgzOjpaX18/PT2d8CugeDQM8vLy9PX1YVW+SCTCHWSVCTyZKhLNjkzhb25u7uDBg69evdrYJeKhPGDNymfOnNHW1k5OTsZflc8HxZOpItHEyZTbd1EFc3Z2XrFiBdJrIxSOh7IAY+zoX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<div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US">Fig.2.
Diagram of energy flow in the IBK-system.</span></div>
<div class="MsoListParagraphCxSpFirst" style="tab-stops: 42.55pt; text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoListParagraphCxSpMiddle" style="mso-list: l21 level2 lfo20; tab-stops: 42.55pt; text-align: justify; text-indent: -18.0pt; text-justify: inter-ideograph;">
<span style="mso-list: Ignore;"> 3.2.</span>Energy Table</div>
<div class="MsoListParagraphCxSpLast" style="tab-stops: 42.55pt; text-align: justify; text-justify: inter-ideograph;">
<span lang="EN-US">Table 1. EMERGY evaluation of IBK-system in
Korea, annual flow per m<sup>2</sup></span></div>
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<b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Item</span></b></div>
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<td colspan="2" nowrap="" style="border-top: solid windowtext 1.0pt; border: none; height: 10.8pt; mso-border-top-alt: solid windowtext .5pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 82.1pt;" valign="bottom" width="109"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Data / Units</span></b></div>
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<td colspan="2" nowrap="" style="border-top: solid windowtext 1.0pt; border: none; height: 10.8pt; mso-border-top-alt: solid windowtext .5pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 73.45pt;" valign="bottom" width="98"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Transformity</span></b></div>
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<td nowrap="" style="border-top: solid windowtext 1.0pt; border: none; height: 10.8pt; mso-border-top-alt: solid windowtext .5pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Solar Emergy</span></b></div>
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<td nowrap="" style="border-top: solid windowtext 1.0pt; border: none; height: 10.8pt; mso-border-top-alt: solid windowtext .5pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Em value</span></b></div>
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<tr style="height: 10.8pt; mso-yfti-irow: 1;">
<td nowrap="" style="border-bottom: double windowtext 2.25pt; border: none; height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<b style="mso-bidi-font-weight: normal;"><span style="font-family: "맑은 고딕"; font-size: 11.0pt; line-height: 115%; mso-ascii-font-family: "Times New Roman"; mso-hansi-font-family: "Times New Roman";"> </span></b><b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";"></span></b></div>
</td>
<td colspan="2" nowrap="" style="border-bottom: double windowtext 2.25pt; border: none; height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 82.1pt;" valign="bottom" width="109"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">(J, g, </span></b><b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="font-family: "Cambria Math","serif"; font-size: 11.0pt; line-height: 115%; mso-bidi-font-family: "Cambria Math"; mso-fareast-font-family: "맑은 고딕";">₩</span></b><b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">) / yr</span></b></div>
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<td colspan="2" nowrap="" style="border-bottom: double windowtext 2.25pt; border: none; height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 73.45pt;" valign="bottom" width="98"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">(sej/unit)</span></b></div>
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<b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">(sej/yr)</span></b></div>
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<td nowrap="" style="border-bottom: double windowtext 2.25pt; border: none; height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">(Em</span></b><b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="font-family: "Cambria Math","serif"; font-size: 11.0pt; line-height: 115%; mso-bidi-font-family: "Cambria Math"; mso-fareast-font-family: "맑은 고딕";">₩</span></b><b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">/yr)</span></b></div>
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<tr style="height: 10.8pt; mso-yfti-irow: 2;">
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<b><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Environmental
Input</span></b></div>
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<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><br /></td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><br /></td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><br /></td>
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<td nowrap="" style="height: 5.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Pumped
Water </span></div>
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<td nowrap="" style="height: 5.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><div align="right" class="MsoNormal" style="line-height: 115%; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">1.53E+06</span></div>
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<td nowrap="" style="height: 5.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">J</span></div>
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<td nowrap="" style="height: 5.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><div align="right" class="MsoNormal" style="line-height: 115%; margin-right: -2.25pt; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-bidi-font-weight: bold; mso-fareast-font-family: "맑은 고딕";">2.72E+05</span></div>
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<td nowrap="" style="height: 5.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><div class="MsoNormal" style="line-height: 115%; margin-left: -1.25pt;">
<sup><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">a</span></sup></div>
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<td nowrap="" style="height: 5.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">4.16E+11</span></div>
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<td nowrap="" style="height: 5.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">1.56E+02</span></div>
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<tr style="height: 3.95pt; mso-yfti-irow: 4;">
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<td nowrap="" style="height: 3.95pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><br /></td>
<td nowrap="" style="height: 3.95pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><br /></td>
<td nowrap="" style="height: 3.95pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><br /></td>
<td nowrap="" style="height: 3.95pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><br /></td>
<td nowrap="" style="height: 3.95pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><br /></td>
<td nowrap="" style="height: 3.95pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><br /></td>
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<b><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Purchased
Input</span></b></div>
</td>
<td nowrap="" style="height: 9.6pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><br /></td>
<td nowrap="" style="height: 9.6pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><br /></td>
<td nowrap="" style="height: 9.6pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><br /></td>
<td nowrap="" style="height: 9.6pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><br /></td>
<td nowrap="" style="height: 9.6pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><br /></td>
<td nowrap="" style="height: 9.6pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><br /></td>
</tr>
<tr style="height: 10.8pt; mso-yfti-irow: 6;">
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Fingerling</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><div align="right" class="MsoNormal" style="line-height: 115%; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-bidi-font-weight: bold; mso-fareast-font-family: "맑은 고딕";">5.02E+05</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-bidi-font-weight: bold;">J</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><div align="right" class="MsoNormal" style="line-height: 115%; margin-right: -2.25pt; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-bidi-font-weight: bold; mso-fareast-font-family: "맑은 고딕";">5.60E+05</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><div class="MsoNormal" style="line-height: 115%; margin-left: -1.25pt;">
<sup><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-bidi-font-weight: bold; mso-fareast-font-family: "맑은 고딕";">a</span></sup></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-bidi-font-weight: bold; mso-fareast-font-family: "맑은 고딕";">2.81E+11</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-bidi-font-weight: bold; mso-fareast-font-family: "맑은 고딕";">1.06E+02</span></div>
</td>
</tr>
<tr style="height: 10.8pt; mso-yfti-irow: 7;">
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Feed</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><div align="right" class="MsoNormal" style="line-height: 115%; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">2.85E+05</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">J</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><div align="right" class="MsoNormal" style="line-height: 115%; margin-right: -2.25pt; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">1.40E+05</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><div class="MsoNormal" style="line-height: 115%; margin-left: -1.25pt;">
<sup><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">b</span></sup></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">3.99E+10</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">1.50E+01</span></div>
</td>
</tr>
<tr style="height: 10.8pt; mso-yfti-irow: 8;">
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Fuel</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><div align="right" class="MsoNormal" style="line-height: 115%; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">4.20E+07</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">J</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><div align="right" class="MsoNormal" style="line-height: 115%; margin-right: -2.25pt; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-bidi-font-weight: bold; mso-fareast-font-family: "맑은 고딕";">1.81E+05</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><div class="MsoNormal" style="line-height: 115%; margin-left: -1.25pt;">
<sup><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">c</span></sup></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">7.60E+12</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">2.86E+03</span></div>
</td>
</tr>
<tr style="height: 10.8pt; mso-yfti-irow: 9;">
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Good
and Service</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><br /></td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><br /></td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><br /></td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><br /></td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><br /></td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><br /></td>
</tr>
<tr style="height: 10.8pt; mso-yfti-irow: 10;">
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><div class="MsoNormal" style="line-height: 115%;">
<i><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Electric</span></i></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><div align="right" class="MsoNormal" style="line-height: 115%; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-bidi-font-weight: bold; mso-fareast-font-family: "맑은 고딕";">1.75E+07</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">J</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><div align="right" class="MsoNormal" style="line-height: 115%; margin-right: -2.25pt; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-bidi-font-weight: bold; mso-fareast-font-family: "맑은 고딕";">2.91E+05</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><div class="MsoNormal" style="line-height: 115%; margin-left: -1.25pt;">
<sup><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">d</span></sup></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">5.10E+12</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">1.92E+03</span></div>
</td>
</tr>
<tr style="height: 10.8pt; mso-yfti-irow: 11;">
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><div class="MsoNormal" style="line-height: 115%;">
<i><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Labor</span></i></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><div align="right" class="MsoNormal" style="line-height: 115%; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">1.06E+06</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%;">J</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><div align="right" class="MsoNormal" style="line-height: 115%; margin-right: -2.25pt; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">2.36E+06</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><div class="MsoNormal" style="line-height: 115%; margin-left: -1.25pt;">
<sup><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">a</span></sup></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">2.50E+12</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">9.40E+02</span></div>
</td>
</tr>
<tr style="height: 10.8pt; mso-yfti-irow: 12;">
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><div class="MsoNormal" style="line-height: 115%;">
<i><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Maintenance
Cost</span></i></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><div align="right" class="MsoNormal" style="line-height: 115%; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">2.00E+03</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-family: "Cambria Math","serif"; font-size: 11.0pt; line-height: 115%; mso-bidi-font-family: "Cambria Math";">₩</span><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%;"></span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><div align="right" class="MsoNormal" style="line-height: 115%; margin-right: -2.25pt; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">2.66E+09</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><div class="MsoNormal" style="line-height: 115%; margin-left: -1.25pt;">
<sup><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">e</span></sup></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">5.32E+12</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">2.00E+03</span></div>
</td>
</tr>
<tr style="height: 10.8pt; mso-yfti-irow: 13;">
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><div class="MsoNormal" style="line-height: 115%;">
<i><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Water
quality control Cost</span></i></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><div align="right" class="MsoNormal" style="line-height: 115%; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">1.33E+03</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-family: "Cambria Math","serif"; font-size: 11.0pt; line-height: 115%; mso-bidi-font-family: "Cambria Math";">₩</span><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%;"></span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><div align="right" class="MsoNormal" style="line-height: 115%; margin-right: -2.25pt; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">2.66E+09</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><div class="MsoNormal" style="line-height: 115%; margin-left: -1.25pt;">
<sup><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">e</span></sup></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">3.55E+12</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">1.33E+03</span></div>
</td>
</tr>
<tr style="height: 10.8pt; mso-yfti-irow: 14;">
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><div class="MsoNormal" style="line-height: 115%;">
<i><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Disease
control cost</span></i></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><div align="right" class="MsoNormal" style="line-height: 115%; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">6.67E+02</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-family: "Cambria Math","serif"; font-size: 11.0pt; line-height: 115%; mso-bidi-font-family: "Cambria Math";">₩</span><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%;"></span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><div align="right" class="MsoNormal" style="line-height: 115%; margin-right: -2.25pt; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">2.66E+09</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><div class="MsoNormal" style="line-height: 115%; margin-left: -1.25pt;">
<sup><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">e</span></sup></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">1.77E+12</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">6.67E+02</span></div>
</td>
</tr>
<tr style="height: 10.8pt; mso-yfti-irow: 15;">
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Farm
Installation</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><br /></td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><br /></td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><br /></td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><br /></td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><br /></td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><br /></td>
</tr>
<tr style="height: 10.8pt; mso-yfti-irow: 16;">
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><div class="MsoNormal" style="line-height: 115%;">
<i><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";"><span style="mso-spacerun: yes;"> </span>a. Stone</span></i></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><div align="right" class="MsoNormal" style="line-height: 115%; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">2.25E+02</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">g</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><div align="right" class="MsoNormal" style="line-height: 115%; margin-right: -2.25pt; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">1.68E+09</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><div class="MsoNormal" style="line-height: 115%; margin-left: -1.25pt;">
<sup><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">f</span></sup></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">3.79E+11</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">1.42E+02</span></div>
</td>
</tr>
<tr style="height: 10.8pt; mso-yfti-irow: 17;">
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><div class="MsoNormal" style="line-height: 115%;">
<i><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";"><span style="mso-spacerun: yes;"> </span>b. Sand</span></i></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><div align="right" class="MsoNormal" style="line-height: 115%; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">1.35E+02</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">g</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><div align="right" class="MsoNormal" style="line-height: 115%; margin-right: -2.25pt; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">2.24E+09</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><div class="MsoNormal" style="line-height: 115%; margin-left: -1.25pt;">
<sup><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">f</span></sup></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">3.02E+11</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">1.13E+02</span></div>
</td>
</tr>
<tr style="height: 10.8pt; mso-yfti-irow: 18;">
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><div class="MsoNormal" style="line-height: 115%;">
<i><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";"><span style="mso-spacerun: yes;"> </span>c. Concrete</span></i></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><div align="right" class="MsoNormal" style="line-height: 115%; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">8.32E+01</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">g</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><div align="right" class="MsoNormal" style="line-height: 115%; margin-right: -2.25pt; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-bidi-font-weight: bold; mso-fareast-font-family: "맑은 고딕";">2.58E+09</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><div class="MsoNormal" style="line-height: 115%; margin-left: -1.25pt;">
<sup><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">g</span></sup></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">2.15E+11</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">8.07E+01</span></div>
</td>
</tr>
<tr style="height: 10.8pt; mso-yfti-irow: 19;">
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><div class="MsoNormal" style="line-height: 115%;">
<i><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";"><span style="mso-spacerun: yes;"> </span>d. Iron + Steel</span></i></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><div align="right" class="MsoNormal" style="line-height: 115%; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">1.65E+01</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">g</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><div align="right" class="MsoNormal" style="line-height: 115%; margin-right: -2.25pt; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-bidi-font-weight: bold; mso-fareast-font-family: "맑은 고딕";">1.90E+10</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><div class="MsoNormal" style="line-height: 115%; margin-left: -1.25pt;">
<sup><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">h</span></sup></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">3.14E+11</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">1.18E+02</span></div>
</td>
</tr>
<tr style="height: 10.8pt; mso-yfti-irow: 20;">
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><div class="MsoNormal" style="line-height: 115%;">
<i><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";"><span style="mso-spacerun: yes;"> </span>e. Phenyl</span></i></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><div align="right" class="MsoNormal" style="line-height: 115%; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">4.63E+02</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-family: "Cambria Math","serif"; font-size: 11.0pt; line-height: 115%; mso-bidi-font-family: "Cambria Math";">₩</span><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%;"></span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><div align="right" class="MsoNormal" style="line-height: 115%; margin-right: -2.25pt; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">2.66E+09</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><div class="MsoNormal" style="line-height: 115%; margin-left: -1.25pt;">
<sup><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">e</span></sup></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">1.23E+12</span></div>
</td>
<td nowrap="" style="height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">4.63E+02</span></div>
</td>
</tr>
<tr style="height: 5.9pt; mso-yfti-irow: 21;">
<td nowrap="" style="height: 5.9pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><br /></td>
<td nowrap="" style="height: 5.9pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><br /></td>
<td nowrap="" style="height: 5.9pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><br /></td>
<td nowrap="" style="height: 5.9pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><br /></td>
<td nowrap="" style="height: 5.9pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><br /></td>
<td nowrap="" style="height: 5.9pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><br /></td>
<td nowrap="" style="height: 5.9pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><br /></td>
</tr>
<tr style="height: 10.8pt; mso-yfti-irow: 22; mso-yfti-lastrow: yes;">
<td nowrap="" style="border-bottom: solid windowtext 1.0pt; border: none; height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 131.5pt;" valign="bottom" width="175"><div class="MsoNormal" style="line-height: 115%;">
<b><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">Annual
yield (Y)</span></b></div>
</td>
<td nowrap="" style="border-bottom: solid windowtext 1.0pt; border: none; height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 59.8pt;" valign="bottom" width="80"><div align="right" class="MsoNormal" style="line-height: 115%; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">1.28E+04</span></div>
</td>
<td nowrap="" style="border-bottom: solid windowtext 1.0pt; border: none; height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 22.3pt;" valign="bottom" width="30"><div class="MsoNormal" style="line-height: 115%;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">g</span></div>
</td>
<td nowrap="" style="border-bottom: solid windowtext 1.0pt; border: none; height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 54.75pt;" valign="bottom" width="73"><div align="right" class="MsoNormal" style="line-height: 115%; margin-right: -2.25pt; text-align: right;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">2.26E+09</span></div>
</td>
<td nowrap="" style="border-bottom: solid windowtext 1.0pt; border: none; height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 18.7pt;" valign="bottom" width="25"><div class="MsoNormal" style="line-height: 115%; margin-left: -1.25pt;">
<sup><span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">i</span></sup></div>
</td>
<td nowrap="" style="border-bottom: solid windowtext 1.0pt; border: none; height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 78.2pt;" valign="bottom" width="104"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">2.90E+13</span></div>
</td>
<td nowrap="" style="border-bottom: solid windowtext 1.0pt; border: none; height: 10.8pt; padding: 0cm 4.95pt 0cm 4.95pt; width: 63.85pt;" valign="bottom" width="85"><div align="center" class="MsoNormal" style="line-height: 115%; text-align: center;">
<span lang="EN-US" style="font-size: 11.0pt; line-height: 115%; mso-fareast-font-family: "맑은 고딕";">1.09E+04</span></div>
</td>
</tr>
</tbody></table>
</div>
<br />
<div class="MsoListParagraphCxSpLast" style="tab-stops: 42.55pt; text-align: justify; text-justify: inter-ideograph;">
<span lang="EN-US"></span></div>
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "맑은 고딕";">a). Brown & Bardi,
2001; b). Naam kook, 2001; c). Brown, 2011; d). Odum, 1996; e). Jin A, 2010;
f). Campbell and Brandt-Williams, 2005; g). Brown and Buranakan, 2003; h). Odum
& Odum, 1983; i). This study. </span><span lang="EN-US" style="font-size: 10.0pt;">All the Transformity for solar emergy equivalence was converted to
15.83E+24 sej/yr baseline.</span>
<br />
<div class="MsoListParagraphCxSpMiddle" style="tab-stops: 42.55pt; text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoListParagraphCxSpLast" style="tab-stops: 42.55pt; text-align: justify; text-justify: inter-ideograph;">
<span lang="EN-US">Table 2. EMERY indices of fisheries
production in Korea and other systems</span></div>
<div align="center">
<table border="0" cellpadding="0" cellspacing="0" class="MsoNormalTable" style="border-collapse: collapse; margin-left: 5.4pt; mso-padding-alt: 0cm 5.4pt 0cm 5.4pt; mso-yfti-tbllook: 1184; width: 585px;">
<tbody>
<tr style="height: 6.25pt; mso-yfti-firstrow: yes; mso-yfti-irow: 0;">
<td nowrap="" style="border-bottom: double windowtext 2.25pt; border-left: none; border-right: none; border-top: solid windowtext 1.0pt; height: 6.25pt; mso-border-bottom-alt: double windowtext 2.25pt; mso-border-top-alt: solid windowtext .5pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 110.55pt;" valign="bottom" width="147"><div class="MsoNormal">
<b><span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">Indices</span></b></div>
</td>
<td nowrap="" style="border-bottom: double windowtext 2.25pt; border-left: none; border-right: none; border-top: solid windowtext 1.0pt; height: 6.25pt; mso-border-bottom-alt: double windowtext 2.25pt; mso-border-top-alt: solid windowtext .5pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.55pt;" valign="bottom" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<b><span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">EYR</span></b></div>
</td>
<td nowrap="" style="border-bottom: double windowtext 2.25pt; border-left: none; border-right: none; border-top: solid windowtext 1.0pt; height: 6.25pt; mso-border-bottom-alt: double windowtext 2.25pt; mso-border-top-alt: solid windowtext .5pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.5pt;" valign="bottom" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<b><span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">EIR</span></b></div>
</td>
<td nowrap="" style="border-bottom: double windowtext 2.25pt; border-left: none; border-right: none; border-top: solid windowtext 1.0pt; height: 6.25pt; mso-border-bottom-alt: double windowtext 2.25pt; mso-border-top-alt: solid windowtext .5pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.55pt;" valign="bottom" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<b><span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">ELR</span></b></div>
</td>
<td nowrap="" style="border-bottom: double windowtext 2.25pt; border-left: none; border-right: none; border-top: solid windowtext 1.0pt; height: 6.25pt; mso-border-bottom-alt: double windowtext 2.25pt; mso-border-top-alt: solid windowtext .5pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.5pt;" valign="bottom" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<b><span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">ESI</span></b></div>
</td>
<td nowrap="" style="border-bottom: double windowtext 2.25pt; border-left: none; border-right: none; border-top: solid windowtext 1.0pt; height: 6.25pt; mso-border-bottom-alt: double windowtext 2.25pt; mso-border-top-alt: solid windowtext .5pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 158.35pt;" valign="bottom" width="211"><div class="MsoNormal">
<br /></div>
</td>
</tr>
<tr style="height: 6.25pt; mso-yfti-irow: 1;">
<td nowrap="" style="height: 6.25pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 110.55pt;" valign="bottom" width="147"><div class="MsoNormal">
<i><span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">This Study</span></i></div>
</td>
<td nowrap="" style="height: 6.25pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.55pt;" valign="bottom" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">1.02</span></div>
</td>
<td nowrap="" style="height: 6.25pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.5pt;" valign="bottom" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">68.74</span></div>
</td>
<td nowrap="" style="height: 6.25pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.55pt;" valign="bottom" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">68.74</span></div>
</td>
<td nowrap="" style="height: 6.25pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.5pt;" valign="bottom" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">0.02</span></div>
</td>
<td nowrap="" style="height: 6.25pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 158.35pt;" valign="bottom" width="211"><div class="MsoNormal">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "맑은 고딕"; mso-fareast-theme-font: minor-fareast;">This Study</span></div>
</td>
</tr>
<tr style="height: 5.95pt; mso-yfti-irow: 2;">
<td nowrap="" style="height: 5.95pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 110.55pt;" valign="bottom" width="147"><div class="MsoNormal">
<i><span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">Weever</span></i></div>
</td>
<td nowrap="" style="height: 5.95pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.55pt;" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">1.04</span></div>
</td>
<td nowrap="" style="height: 5.95pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.5pt;" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">1.95</span></div>
</td>
<td nowrap="" style="height: 5.95pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.55pt;" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">26.15</span></div>
</td>
<td nowrap="" style="height: 5.95pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.5pt;" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">0.04</span></div>
</td>
<td style="height: 5.95pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 158.35pt;" width="211"><div class="MsoNormal">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">Li, et al., 2010</span></div>
</td>
</tr>
<tr style="height: 5.95pt; mso-yfti-irow: 3;">
<td nowrap="" style="height: 5.95pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 110.55pt;" valign="bottom" width="147"><div class="MsoNormal">
<i><span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">Ophicephalus</span></i></div>
</td>
<td nowrap="" style="height: 5.95pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.55pt;" valign="bottom" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">1.05</span></div>
</td>
<td nowrap="" style="height: 5.95pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.5pt;" valign="bottom" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">2.47</span></div>
</td>
<td nowrap="" style="height: 5.95pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.55pt;" valign="bottom" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">20.18</span></div>
</td>
<td nowrap="" style="height: 5.95pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.5pt;" valign="bottom" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">0.05</span></div>
</td>
<td style="height: 5.95pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 158.35pt;" width="211"><div class="MsoNormal">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">Li, et al., 2010</span></div>
</td>
</tr>
<tr style="height: 5.95pt; mso-yfti-irow: 4;">
<td nowrap="" style="height: 5.95pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 110.55pt;" valign="bottom" width="147"><div class="MsoNormal">
<i><span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">E</span></i><i><span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "맑은 고딕"; mso-fareast-theme-font: minor-fareast;">e</span></i><i><span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">l</span></i></div>
</td>
<td nowrap="" style="height: 5.95pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.55pt;" valign="bottom" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">1.04</span></div>
</td>
<td nowrap="" style="height: 5.95pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.5pt;" valign="bottom" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">4.09</span></div>
</td>
<td nowrap="" style="height: 5.95pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.55pt;" valign="bottom" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">23.42</span></div>
</td>
<td nowrap="" style="height: 5.95pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.5pt;" valign="bottom" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">0.05</span></div>
</td>
<td style="height: 5.95pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 158.35pt;" width="211"><div class="MsoNormal">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">Li, et al., 2010</span></div>
</td>
</tr>
<tr style="height: 10.1pt; mso-yfti-irow: 5;">
<td nowrap="" style="height: 10.1pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 110.55pt;" width="147"><div class="MsoNormal">
<i><span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">fisheries in Philippines </span></i></div>
</td>
<td nowrap="" style="height: 10.1pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.55pt;" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">1.21</span></div>
</td>
<td nowrap="" style="height: 10.1pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.5pt;" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">5</span></div>
</td>
<td nowrap="" style="height: 10.1pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.55pt;" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">4.8</span></div>
</td>
<td nowrap="" style="height: 10.1pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.5pt;" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">0.25</span></div>
</td>
<td style="height: 10.1pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 158.35pt;" width="211"><div class="MsoNormal">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">Bergquist, 2008</span></div>
</td>
</tr>
<tr style="height: 10.1pt; mso-yfti-irow: 6;">
<td nowrap="" style="height: 10.1pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 110.55pt;" width="147"><div class="MsoNormal">
<i><span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">fisheries in Sri Lanka </span></i></div>
</td>
<td nowrap="" style="height: 10.1pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.55pt;" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">1.03</span></div>
</td>
<td nowrap="" style="height: 10.1pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.5pt;" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">29</span></div>
</td>
<td nowrap="" style="height: 10.1pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.55pt;" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">33.8</span></div>
</td>
<td nowrap="" style="height: 10.1pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.5pt;" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">0.03</span></div>
</td>
<td style="height: 10.1pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 158.35pt;" width="211"><div class="MsoNormal">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">Bergquist, 2008 </span></div>
</td>
</tr>
<tr style="height: 6.25pt; mso-yfti-irow: 7; mso-yfti-lastrow: yes;">
<td nowrap="" style="border-bottom: solid windowtext 1.0pt; border: none; height: 6.25pt; mso-border-bottom-alt: solid windowtext .5pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 110.55pt;" width="147"><div class="MsoNormal">
<i><span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">Fisheries in Ecuador</span></i></div>
</td>
<td nowrap="" style="border-bottom: solid windowtext 1.0pt; border: none; height: 6.25pt; mso-border-bottom-alt: solid windowtext .5pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.55pt;" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">1.38</span></div>
</td>
<td nowrap="" style="border-bottom: solid windowtext 1.0pt; border: none; height: 6.25pt; mso-border-bottom-alt: solid windowtext .5pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.5pt;" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">2.67</span></div>
</td>
<td nowrap="" style="border-bottom: solid windowtext 1.0pt; border: none; height: 6.25pt; mso-border-bottom-alt: solid windowtext .5pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.55pt;" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">2.67</span></div>
</td>
<td nowrap="" style="border-bottom: solid windowtext 1.0pt; border: none; height: 6.25pt; mso-border-bottom-alt: solid windowtext .5pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 42.5pt;" width="57"><div align="center" class="MsoNormal" style="text-align: center;">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">0.52</span></div>
</td>
<td nowrap="" style="border-bottom: solid windowtext 1.0pt; border: none; height: 6.25pt; mso-border-bottom-alt: solid windowtext .5pt; padding: 0cm 5.4pt 0cm 5.4pt; width: 158.35pt;" width="211"><div class="MsoNormal">
<span lang="EN-US" style="font-size: 10.0pt; mso-fareast-font-family: "Times New Roman";">Odum & Arding, 1991</span></div>
</td>
</tr>
</tbody></table>
</div>
<div class="MsoListParagraphCxSpFirst" style="tab-stops: 42.55pt; text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoListParagraphCxSpMiddle" style="mso-list: l21 level2 lfo20; tab-stops: 42.55pt; text-align: justify; text-indent: -18.0pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;"> 3.3.</span></span><span lang="EN-US">Transformity</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";"></span></div>
<div class="MsoListParagraphCxSpMiddle" style="margin-left: 0cm; mso-add-space: auto; text-align: justify; text-indent: 35.45pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">The </span><span lang="EN-US">results</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";"> of study were listed in the
Table 1 and Table 2 following. The data shows transformity for fish produced by
IBK-system is 2.26E+09 J/g fish. This number was far higher compare to pelagic
fish and ponded shrimp from Ecuador also semi intensive shrimp production in
Sri Lanka, which only 2.20E+05 J/g, 3.17E+07 (Odum & Arding, 1991) and
8.11E+06 J/g respectively (Bergquist, 2008). Those mentioned aquaculture were
using conventional method, out door and wide area of production, therefore the system
more likely to dependent on natural resources and need less energy from
purchased input. However fish transformity in this study was not really high
compared to the same high-technology aquaculture applied in china, which were </span><span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";">5.79E+0</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">9 J/g fish for <i style="mso-bidi-font-style: normal;">weever</i>, </span><span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";">7.77E+0</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">9 J/g fish for <i style="mso-bidi-font-style: normal;">ophicephalus</i>, and </span><span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";">7.79E+0</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">9 J/g fish for <i style="mso-bidi-font-style: normal;">eel</i> culture. Those mentioned result
shows while aquaculture method involving technology; the higher technology used
the higher emergy needed to produce fish. However, when we look back the emergy
table, there shows extra energy was swelled up from purchased input than from environmental
loading, since the technology needs extra energy to maintain. Study were
continued to analyze the factor supporting the processes on IBK-system,
therefore emergy indices were calculated.</span></div>
<div class="MsoListParagraphCxSpMiddle" style="margin-left: 0cm; mso-add-space: auto; text-align: justify; text-indent: 35.45pt; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoListParagraphCxSpMiddle" style="mso-list: l21 level2 lfo20; tab-stops: 42.55pt; text-align: justify; text-indent: -18.0pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;"> 3.4.</span></span><span lang="EN-US">Emergy</span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";"> Indices</span></div>
<div class="MsoListParagraphCxSpLast" style="margin-left: 54.0pt; mso-add-space: auto; mso-list: l21 level3 lfo20; tab-stops: 42.55pt; text-align: justify; text-indent: -36.0pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">3.4.1.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">Emergy Yield Ratio (EYR) </span></div>
<div class="MsoNormal" style="mso-layout-grid-align: none; text-align: justify; text-autospace: none; text-indent: 35.45pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">Analyses of EYR and other
emergy indices from Table 1 were shown in Table 2. The EYR in this study was
1.02 and was the lowest compared to EYR in other several fisheries productions.
In term of emergy, this EYR number describing there was almost no energy
benefit from system (benefit only 2%), the system only altering many kind of
energy type with various portion into energy </span><span class="hps"><span lang="EN-US">in the form of</span></span><span class="longtext"><span lang="EN-US"> </span></span><span class="hps"><span lang="EN-US">fish meat. </span></span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">Yet, fisheries in Philippines and Ecuador
has a greater benefit because those were conventional fisheries activity, which
need less emergy input either from purchased or from environmental. </span><span class="hps"><span lang="EN-US">However, this not means the IBK system is not
applicable, because EYR only consider about energy term, and fish is not energy
sources as Brown and Ulgiati (2002) had reported for EYR higher than 1 has accepted
to be </span></span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">consumer
products or transformation steps than actual energy sources</span><span class="hps"><span lang="EN-US">. In the other consent like economic benefit, it is
need deeply study about IBK system economic proses for viability since
renewable sources such as water were received freely from the environment. The
underline result here was, as long as there is no loosing of energy invested
(EYR<1), the system is permitted to apply if other consideration could
support to the system operation.</span></span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";"></span></div>
<div class="MsoListParagraphCxSpFirst" style="tab-stops: 42.55pt; text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoListParagraphCxSpLast" style="margin-left: 54.0pt; mso-add-space: auto; mso-list: l21 level3 lfo20; tab-stops: 42.55pt; text-align: justify; text-indent: -36.0pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">3.4.2.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">Emergy Investment Ratio
(EIR):</span></div>
<div class="MsoNormal" style="mso-layout-grid-align: none; text-align: justify; text-autospace: none; text-indent: 35.45pt; text-justify: inter-ideograph;">
<span lang="EN-US">The EIR has pointed at 68.74, which mean the system has very high
economic cost. These also explain the system need more economic investment
compare to other system in the table.2 </span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">(The less the ratio, the less the
economic cost) because the system more depend on purchased energy than energy
loaded from environmental. The value of ELR and EIR in this experiment was
pointed in the same number because the system not involving non-renewable
sources, practice ELR and EIR has similar factor which is purchased input compared
to renewable environmental loading (F/R). System more likely depend on
purchased input was indicated by very high EIR but in contrary relatively
small/low EYR (Vassallo, et al. 2006). Hence effect from the system to the
environment indicated by ELR value.</span></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoListParagraph" style="margin-left: 54.0pt; mso-add-space: auto; mso-list: l21 level3 lfo20; tab-stops: 42.55pt; text-align: justify; text-indent: -36.0pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">3.4.3.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">Environmental Loading Ratio
(ELR):</span></div>
<div class="MsoNormal" style="mso-layout-grid-align: none; text-align: justify; text-autospace: none; text-indent: 35.45pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">The result of ELR calculated
in this experiment is 68.74, this number is very high even compare to other
system with different realm. Based on the data, the system has extremely high
ELR’s might resulted from the investment in a relatively small local
environment, very concentrated inputs derived from purchased energies. A
simultaneous increase of both EYR and EIR, indicates that a larger stress is
being placed on the environment (</span><span class="hps"><span lang="EN-US">Brown
and Ulgiati, 2002)</span></span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">, but this system was shows the opposite condition, while EYR recorded
in low number followed by very high number of ELR, this means stress is not
placed on the environment but rather to purchased factor (Bergquist 2008).
Identic to interpretation for EIR, high ELR here can be assumed to produce 1
unit of fish meat, it was needed 1 part of environmental loading factor and
more than 68 portion of purchased factor.</span></div>
<div class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoListParagraph" style="margin-left: 54.0pt; mso-add-space: auto; mso-list: l21 level3 lfo20; tab-stops: 42.55pt; text-align: justify; text-indent: -36.0pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">3.4.4.<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">Emergy Sustainability Index
(ESI)</span></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;">
<span lang="EN-US">Subjected system in this study has
calculated for ESI value of 0.02. The higher ESI indicating more economic
relies on renewable and environmental loading. Since the non-renewable sources
were not involved here, the ESI formula also distributed into ratio of yield
emergy and environmental loading compared to quadratic power of purchased
input, formula were listed below:</span></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 35.4pt; text-justify: inter-ideograph;">
<span lang="EN-US">ESI = EYR/ELR</span></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 70.9pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="font-family: Wingdings; mso-ascii-font-family: "Times New Roman"; mso-char-type: symbol; mso-hansi-font-family: "Times New Roman"; mso-symbol-font-family: Wingdings;"><span style="mso-char-type: symbol; mso-symbol-font-family: Wingdings;">à</span></span><span lang="EN-US"> EYR = Y/F</span></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 70.9pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="font-family: Wingdings; mso-ascii-font-family: "Times New Roman"; mso-char-type: symbol; mso-hansi-font-family: "Times New Roman"; mso-symbol-font-family: Wingdings;"><span style="mso-char-type: symbol; mso-symbol-font-family: Wingdings;">à</span></span><span lang="EN-US"> ELR = (F+N)/R </span><span lang="EN-US" style="font-family: Wingdings; mso-ascii-font-family: "Times New Roman"; mso-char-type: symbol; mso-hansi-font-family: "Times New Roman"; mso-symbol-font-family: Wingdings;"><span style="mso-char-type: symbol; mso-symbol-font-family: Wingdings;">à</span></span><span lang="EN-US"> N~0 than ELR = F/R</span></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 2.0cm; text-justify: inter-ideograph;">
<span lang="EN-US">= (Y/F) / (F/R)</span></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 35.45pt; text-justify: inter-ideograph;">
<span lang="EN-US">ESI = (Y*R)/F<sup>2</sup></span></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 35.45pt; text-justify: inter-ideograph;">
<span lang="EN-US">Based on above formula, it shows how ESI
has effected by F as F factor were squared and independent to make division on
Y and R factor. This mean, since R and F factor are predictable and Y as total
harvested product is unpredicted, system is risky to have unsustainable in term
of energy. Because a few decrement on harvested product, it could promote the
degradation of ESI into 0 or even worse to minus, which mean energy contained
in fish is lower than energy to produce it. </span></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 36.0pt; text-justify: inter-ideograph;">
<span lang="EN-US">Even though the EYR is low, EIR and ELR
are high, and ESI has shown high risk condition, those not mean that the system
is not feasible to operate. Those conditions was happed as explained before, it
was caused by high number of purchased factor needed, not caused by high consuming
of non-renewable sources. In the real condition, price for each kilogram of
fish also much higher than in the calculation as interaction with factor excluded
in the boundary for this study (i.e. import and export, stock availability,
price competition, etc.). Higher price per kilogram fish could bring high
benefit in term of economic; therefor this system is acceptable to apply in
Korea and other developed country with similar environment characteristic,
especially which were natural sources are limited and fish consumptions are
relatively high. Consider on area needed, environmental sources used, and degradation
of fish population in natural stock, aquaculture especially IBK system has suitability
to applied in Korea. </span></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 36.0pt; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 36.0pt; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 36.0pt; text-justify: inter-ideograph;">
<br /></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 36.0pt; text-justify: inter-ideograph;">
<br /></div>
<div align="center" class="MsoListParagraph" style="margin-left: 0cm; mso-add-space: auto; mso-list: l21 level1 lfo20; text-align: center; text-indent: -.55pt;">
<b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">4.<span style="font: 7.0pt "Times New Roman";">
</span></span></span></b><b style="mso-bidi-font-weight: normal;"><span lang="EN-US">Conclusions</span></b></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 36.0pt; text-justify: inter-ideograph;">
<span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">Energy
needed to produce fish in IBK system is higher compare to natural and
conventional fish production. The relatively low number of EYR is indicating
the system only altering many kind of energy type with various portion into
energy </span><span class="hps"><span lang="EN-US">in the form of</span></span><span class="longtext"><span lang="EN-US"> </span></span><span class="hps"><span lang="EN-US">fish meat.</span></span><span lang="EN-US"> The IBK system has </span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">high investment needed to
produce fish since the system more depend on purchased energy than the environmental
loading, indicate by high number of EIR and ELR. The </span><span lang="EN-US">system
is risky to have unsustainable in term of energy if yield production less than
expectations. Higher price per kilogram fish could bring high benefit in term
of economic, therefore this system only suitable to apply in developed
countries with limited area, limited of natural sources and fish consumptions
are relatively high. The system not applicable in the developing countries with
huge area since the IBK system needs very high investment. </span><span lang="EN-US" style="mso-fareast-font-family: "맑은 고딕";">In the future, we need to
develop the aquaculture method which has high benefit, low investment and low
risk in ecologically as well as economically.</span></div>
<div class="MsoNormal" style="text-align: justify; text-indent: 36.0pt; text-justify: inter-ideograph;">
<br /></div>
<br />
<br />
<br />
<br />
<div align="center" class="MsoListParagraph" style="margin-left: 0cm; mso-add-space: auto; mso-list: l21 level1 lfo20; text-align: center; text-indent: -.55pt;">
<b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">5.<span style="font: 7.0pt "Times New Roman";">
</span></span></span></b><b style="mso-bidi-font-weight: normal;"><span lang="EN-US">References</span></b></div>
<div class="MsoNormal" style="margin-left: 21.3pt; text-align: justify; text-indent: -21.3pt; text-justify: inter-ideograph;">
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</o:shapelayout></xml><![endif]-->Anonymoushttp://www.blogger.com/profile/04198624550231718406noreply@blogger.com0tag:blogger.com,1999:blog-7940291228123511853.post-62427311747577892012-09-23T07:35:00.000+09:002012-09-23T07:35:13.858+09:00Emergy Definition<!--[if !mso]>
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<div class="MsoListParagraph" style="margin-bottom: 0.0001pt; text-align: center; text-indent: -18pt;">
<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><b><span lang="EN-US" style="line-height: 115%;"><span> Emergy, method to valuing the environmental real wealth. </span></span></b></span></span></div>
<div class="MsoListParagraph" style="margin-bottom: 0.0001pt; text-align: center; text-indent: -18pt;">
<br /></div>
<div class="MsoListParagraph" style="margin-bottom: 0.0001pt; text-indent: -18pt;">
<br /></div>
<div class="MsoListParagraph" style="margin-bottom: 0.0001pt; text-indent: -18pt;">
<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US" style="line-height: 115%;"><span> </span></span><span style="line-height: 115%;"><span lang="EN-US">Emergy </span></span></span></span></div>
<div class="Default" style="line-height: 150%; text-align: justify; text-indent: 36pt;">
<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US">Emergy spelled with an "m" is a different term from the word
"energy" which we have known since we learn the thermodynamics law.
Energy was defined as </span><span lang="EN-US" style="background: none repeat scroll 0% 0% white;">the
potential ability of a<span class="apple-converted-space"> </span>physical
system<span class="apple-converted-space"> </span>to do<span class="apple-converted-space"> </span>work<span class="apple-converted-space"> </span>on
other physical systems (Harper, 2007<span class="apple-converted-space">).<span> </span>Rather than the ability to do work, emergy is
energy required to compose those system. Emergy is defined as </span></span><span lang="EN-US">“the available energy of one kind of previously used up directly and
indirectly to make a service or product", its unit is the emjoule” (Odum,
1996). Emergy also often understood as "the energy memory" of one
kind of product or service. Emergy analysis is a technique to measure the real
value of a system of one kind product or service based on the total energy
required to compose it system. In the emergy analysis, many kind of energy type
which were involved in the process of a system will be converted into the same
energy quality, so then the mathematical calculation could be perform on
its.<span> </span>The conversion from one energy type
into another form of energy could be done through the conversion ratio, this
ration called “transformity”. Base on the transformity, various kind of energy
could be converted into the same kind of energy and can easily analyze each
contribution to the system. Furthermore, emergy indices are used for better
evaluation of the concerned system. These indices indicate various performance
of the system in term of efficiency and sustainability (Campbell, 1997).
Associated with the emergy analysis for fisheries production, some indices need
to be calculate are </span><span lang="EN-US">Emergy Yield Ratio (EYR), Emergy Investment Ratio (EIR), Environmental
Loading Ratio (ELR), and Environmental Sustainability Index (ESI)</span><span lang="EN-US"> (</span><span lang="EN-US">Odum
and Odum, 1983; Ulgiati et al., 1995; Odum, 1996; Brown and Ulgiati, 1997;
Ulgiati and Brown, 1998</span><span lang="EN-US">)</span></span></span></div>
<div class="MsoListParagraphCxSpFirst" style="margin-bottom: 0.0001pt;">
<br /></div>
<div class="MsoListParagraphCxSpLast" style="margin: 0cm 0cm 0.0001pt 54pt; text-indent: -36pt;">
<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US" style="line-height: 115%;"><span>1.<span style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: normal; line-height: normal;"> </span></span></span><span lang="EN-US" style="line-height: 115%;">Emergy Concept</span></span></span></div>
<div class="Default" style="line-height: 150%; text-align: justify; text-indent: 36pt;">
<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US">Biosphere in the earth surface where we are living on is a system which is
supported by so many resources either renewable or nonrenewable. Along with the
economic development, diminishing of earth resources has reached a new stage.
Enterprises for private profit are consuming the environmental systems that are
the basic of public welfare. The conflict between those intent on protecting
the environmental and those intent on further economic development are becoming
increasingly important in public policy discussion and politic development.</span></span></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0.0001pt; text-align: justify;">
<br /></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0.0001pt; text-align: justify; text-indent: 36pt;">
<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US" style="line-height: 150%;">Trying to solve the problem and search the</span><span class="hps"><span lang="EN-US" style="line-height: 150%;"> middle course between</span></span><span class="shorttext"><span lang="EN-US" style="line-height: 150%;"> </span></span><span class="hps"><span lang="EN-US" style="line-height: 150%;">these
two</span></span><span class="shorttext"><span lang="EN-US" style="line-height: 150%;"> </span></span><span class="hps"><span lang="EN-US" style="line-height: 150%;">issues, </span></span><span lang="EN-US" style="line-height: 150%;">H.T.
Odum (Odum, 1996) introduces the “EMERGY” theory. Emergy is a science-based
evaluation system to represent both the environmental values and the economic
values with a common measure. Emergy measures both the work of nature and that
of humans in generating product and services. While the available energy is
potential energy which can do work, the Emergy is “energy memory”. That the
meaning was, emergy is a measure of the available energy which has been used up
to make the products or services. </span></span></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0.0001pt;">
<br /></div>
<div class="MsoListParagraph" style="line-height: 150%; margin: 0cm 0cm 0.0001pt 54pt; text-indent: -36pt;">
<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US" style="line-height: 150%;"><span>2.<span style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: normal; line-height: normal;"> </span></span></span><span lang="EN-US" style="line-height: 150%;">Definition </span></span></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0.0001pt; text-align: justify; text-indent: 36pt;">
<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US" style="line-height: 150%;">To build and maintain the products or services
(energy storage) of available resources, environmental work has to be done,
this proses certainly requiring energy use and transformation. The storage can
be evaluated quantitatively by the work done in its formation.<span> </span>Work of energy transformation can be measured
by the availability of energy that is used up. Thus, real wealth can be
measured by the work previously done. EMERGY is a scientific measure of real
wealth in term of the energy required to do the work of production. </span></span></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0.0001pt; text-align: justify; text-indent: 18pt;">
<br /></div>
<div align="center" class="MsoNormal" style="line-height: normal; margin: 0cm 49.8pt 0.0001pt 42.55pt; text-align: center; text-indent: 18pt;">
<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><i><span lang="EN-US">EMERGY is the available energy of one kind of
previously used up directly and indirectly to make a product or service. Its
unit is the emjoule<span> </span>(H. T. Odum, 1986a,
1988; Scienceman, 1987)</span></i></span></span></div>
<div align="center" class="MsoNormal" style="line-height: 150%; margin: 0cm 49.8pt 0.0001pt 42.55pt; text-align: center; text-indent: 18pt;">
<br /></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0.0001pt; text-align: justify; text-indent: 35.45pt;">
<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US" style="line-height: 150%;">However</span><span lang="EN-US" style="line-height: 150%;">, on the further application of energy calculation,
each energy source has different contribution as the energy of one kind is not
equivalent in its ability to do work to energy of another kind. Therefore, in
adding up the available energies of different kinds contributing process, all
have to be expressed in unit of one kind of energy. In the development of
emergy analysis, there are several energy type were used as the calculation
base, yet commonly solar energy were used as the calculation base. In the solar
energy base, all form of energies contributing on a system was expressed in
unit of solar energy and it would be required to generate all the inputs. <span> </span>The process of converting every kinds of
energy contributing in the system into solar energy called “transformation”
process. Transformation proses will involve the ratio of conversion which hereinafter
referred to as transformity. <span> </span></span></span></span></div>
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<br /></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0.0001pt; text-align: justify;">
<br /></div>
<div class="MsoListParagraph" style="line-height: 150%; margin: 0cm 0cm 0.0001pt 54pt; text-indent: -36pt;">
<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US" style="line-height: 150%;"><span>3.<span style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: normal; line-height: normal;"> </span></span></span><span lang="EN-US" style="line-height: 150%;">Transformity</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US" style="line-height: 150%;"><span> </span>An energy transformation is a process that one
or more kinds of available energy are converted to a different type of
available energy. Most often, inputs to a process are the result of another
process, in which energy has been concentrated and upgraded. In figure 2.1 its
clearly shows that the quality of 1 joule of humans physical work equal with 10
joule of meat energy from cattle, and 10 joule of energy from cattle can be
generated from 1.000 joule of energy from plant or 1.000.000 joule energy from
sun and rain. </span></span></span></div>
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<br /></div>
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<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US" style="line-height: 150%;"></span></span></span></div>
<div align="center" class="MsoNormal" style="line-height: normal; margin: 0cm 35.65pt 0.0001pt 42.55pt; text-align: center;">
<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US" style="line-height: 150%;"> <img alt="" 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" /></span><span lang="EN-US"> </span></span></span></div>
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<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US">Fig. 1. Emergy quality chain from cattle ranch
supporting humans, with levels of energy transformation.<span></span></span></span></span></div>
<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><br /></span></span><div class="MsoNormal" style="line-height: 150%; margin-bottom: 0.0001pt; text-align: justify; text-indent: 35.45pt;">
<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US" style="line-height: 150%;">Further</span><span lang="EN-US" style="line-height: 150%;">, the quotient of a product’s emergy divided by its
energy is defined as its <i>transformity </i>(H.
T. Odum. 1976b, 1988). In above figure (fig. 2.1), it’s explaining that
transformity for plant is quotient of sun energy divided by energy produce by
plant, its means 1.000.000 joule divided by 1.000 joule, and then the
transformity is 1.000. As well as plants, cattle and humans energy also
subjected with the same process and resulting the transformity number about
100.000 and 1.000.000 for cattle and humans respectively. The units of
transformity are emjoules perjoule. As in the previous statement that commonly
solar emergy were used as the calculation base, the units for this transformity
are solar emjoules per joule (abbreviated sej/J). </span></span></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0.0001pt; text-align: justify; text-indent: 18pt;">
<br /></div>
<div align="center" class="MsoNormal" style="line-height: normal; margin-bottom: 0.0001pt; text-align: center;">
<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><i><span><span lang="EN-US">Solar transformity is the solar EMERGY required to
make one joule of a service or product. Its units are solar emjoule per joule
(sej/J). A product’s solar transformity is its solar EMERGY divided by its
energy. (H. T. Odum, 1996).</span></span></i></span></span></div>
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<br /></div>
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<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US" style="line-height: 150%;">There
have been a lot of transformities for various kinds of energies, materials, and
services such as emergy per energy, emergy per mass, and emergy to money
ratios. The more energy transformations there are contributing to a product,
the higher is the transformity. This is because at each transformation,
available energy is used up to produce a smaller amount of energy of another
form. Thus, the emergy per unit energy increases but the energy decreases, and
therefore the emergy per unit energy increased sharply. The human energy has a
larger transformity than meat flash from cattle that contributed to produce it.
</span></span></span></div>
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<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US" style="line-height: 150%;"></span></span></span></div>
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<br /></div>
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<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US" style="line-height: 150%;"> <img alt="" 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" /> </span></span></span></div>
<div class="MsoNormal" style="line-height: normal; margin: 0cm 21.45pt 0.0001pt 1cm; text-align: justify;">
<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US">Fig. 2. Concepts of energy transformation hierarchy and transformity, (a) All
units view together; (b) Units separated by scale; (c) Units as a web of energy
flows; (d) Processes shown as an ordered series; (e) Flows of energy per unit
time; (f) Transformities (Brown et al., 2004)</span></span></span></div>
<div class="MsoNormal" style="line-height: normal; margin: 0cm 21.45pt 0.0001pt 1cm; text-align: justify;">
<br /></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0.0001pt; text-align: justify; text-indent: 35.45pt;">
<span style="font-size: small;"><span style="font-family: "Trebuchet MS",sans-serif;"><span lang="EN-US" style="line-height: 150%;"><span> </span>All the energy transformations could be arranged
in ordered series to form an energy hierarchy. The hierarchy is that many units
at lower level generate a few units at higher level, with the higher level
feeding controls back to lower level units. Transformity shows the position of
an energy transformation in the energy hierarchy and increases gradually from left
to right (Figure 2.2). Therefore, it can be considered as a comparison factor
for different types of energy. High transformity means high quality, and vice
versa. Many transformities have been determined by Odum and the other authors
over the past years and used in emergy analyses. New transformities are based
on emergy driving the biosphere reevaluated as 15.20 E+24 sej/yr.</span></span></span></div>
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