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Çѱ¹È¯°æ»ý¹°ÇÐȸ / v.26, no.3, 2008³â, pp.252-263
¿µ¾ç¿°·ù, Åõ¸íµµ ¹× ¿±·Ï¼Ò¸¦ ÀÌ¿ëÇÑ ÀΰøÈ£ ¿µ¾ç»óÅÂ, °æÇèÀû ¸ðµ¨ ºÐ¼® ¹× º¯¼öµé °£ÀÇ »óÈ£°ü°è
( Reservoir Trophic State and Empirical Model Analysis, Based on Nutrients, Transparency, and Chlorophyll-${alpha}$ Along with Their Relations Among the Parameters )
¾È±¤±¹;±èÀç°æ;ÀÌ»óÀç; Ãæ³²´ëÇб³ »ý¸í°úÇкÎ;Ãæ³²´ëÇб³ »ý¸í°úÇкÎ;Ãæ³²´ëÇб³ »ý¸í°úÇкÎ;
 
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º» ¿¬±¸´Â ¿¬±¸ÀÇ ¸ñÀûÀº ÃÑÁú¼Ò(TN), ÃÑÀÎ(TP), ¿±·Ï¼Ò(Chl), Åõ¸íµµ(SD)ÀÇ º¯¼ö¸¦ ÀÌ¿ëÇÏ¿© È£¼öÀÇ ¿µ¾ç»óÅÂ(Trophic state)¸¦ Æò°¡ÇÏ¿´°í, Àü±âÀüµµµµ¿¡ µû¸£¸é ºÎÀ¯¹°Áú(SS)ÀÇ ¿ªµ¿¼ºÀ» ºñ±³ Æò°¡ÇÏ¿© ÃÑÁú¼Ò-¿±·Ï¼Ò(TN-Chl), ÃÑÀÎ-¿±·Ï¼Ò(TP-Chl), ¿±·Ï¼Ò-Åõ¸íµµ(Chl-SD)ÀÇ °æÇèÀû ¸ðµ¨À» ºÐ¼®ÇÏ¿´´Ù. È£¼ÒÀÇ ¿µ¾ç»óÅ ºÐ¼®¿¡ µû¸£¸é, 36°³ ÀΰøÈ£ Áß Àý¹ÝÀÌ»óÀÌ ºÎ¿µ¾ç-°ú¿µ¾çÈ­ »óÅ (Eutrophy-Hypertrophy)·Î ³ªÅ¸³µ´Ù. ÃÑÀÎÀÇ ¿ù º¯ÀÌ(% Variation)°¡ ÃÖ°í 500%±îÁö »óȸÇÏ¿´À¸¸ç ƯÈ÷ 8¿ù¿¡´Â ¿¬Áß ÃÖ°íÄ¡¸¦ º¸¿´´Ù. ÇÑÆí ÃÑÁú¼ÒÀÇ ¿ù º¯ÀÌ´Â 90% ÀÌÇÏ·Î ³ªÅ¸³µÀ¸¸ç, ¸ðµç È£¼ö¿¡¼­ Æò±Õ ÃÑÁú¼Ò ³óµµ´Â 1.2 mg L$^{-1}$ ÀÌ»óÀ» »óȸÇÏ¿©, ¹è°æ ³óµµ°¡ ³ôÀº °ÍÀ¸·Î ³ªÅ¸³µ´Ù(ºÎ¿µ¾ç-°ú¸í¾çÈ­»óÅÂ). °æÇèÀû ¸ðµ¨ ºÐ¼®¿¡ µû¸£¸é Åõ¸íµµÀÇ º¯ÀÌ´Â ÃÑÀÎ(R$^2$=0.15, p<0.001) ¹× ÃÑÁú¼Ò (R$^2$=0.20, p<0.001)º¸´Ù ÁÖ·Î ¿±·Ï¼Ò (R$^2$=0.31, p<0.001)¿¡ ÀÇÇØ ¼³¸íµÇ´Â °ÍÀ¸·Î ³ªÅ¸³µ´Ù ÃÑÀÎ, ÃÑ Áú¼ÒÀÇ ºñ (TN : TP ratio)ÀÇ ºÐ¼®¿¡ µû¸£¸é, ´ëºÎºÎÀÇ ÀΰøÈ£´Â Á¶·ù »ýÀå¿¡ ÀÖ¾î ÀáÀçÀûÀÎ ÀÎ(P)ÀÇ ¿µÇâÀ» ½Ã»çÇÏ¿´´Ù. µû¶ó¼­ ½Ä¹°¼º Çöûũſ ¼ºÀåÀº Áú¼Òº¸´Ù Àο¡ ÀÇÇÏ¿© Á¶Àý µÇ´Â °ÍÀ¸·Î ³ªÅ¸³µ´Ù. ¼öÁú º¯¼öÀÇ ¿¬ Æò±Õ°ª¿¡ ·Î±×-Àüȯ(Log$_{10}$ transformation)ÇÑ ÈÄ ½Ç½ÃÇÑ ¼±Çü ȸ±ÍºÐ¼®¿¡ µû¸£¸é ¿±·Ï¼Ò´Â ÃÑÀÎ ¹× ÃÑÁú¼Ò¿¡ ÀÇÇØ °¢°¢ 30%, 15% ¼³¸íµÇ¾î, ¿¬°ü¼ºÀÌ ±ØÈ÷ ³·Àº °ÍÀ¸·Î ³ªÅ¸³µ´Ù. ±×·¯³ª °³º° È£¼Ò¿¡ ´ëÇÑ ¼±Çü ȸ±ÍºÐ¼® ÀϺΠÃÑÀÎ-¿±·Ï¼Ò°¡ °­ÇÑ Á¤ »ó°ü°ü°è (R$^2$=0.62, p=0.002, n=12)¸¦ ÃÑÁú¼Ò-¿±·Ï¼Ò¿¡¼­´Â À¯ÀǼºÀÌ ¾ø´Â °ÍÀ¸·Î ³ªÅ¸³µ´Ù(p=0.892, n=12). »ó±â ¿¬±¸¸¦ Á¾ÇÕÇØº¸¸é °æÇèÀû ¸ðµ¨ ºÐ¼® ½Ã ÀÚ·áÀÇ Æò±ÕÈ¿°ú(Averaging effect)´Â ¸ðµ¨ÀÇ º¯À̼ºÀ» ¼³¸íÇÏ´Â µ¥ Áß¿äÇÑ °ÍÀ¸·Î ³ªÅ¸³µ´Ù.
The purpose of this study was to determine trophic state, based on nutrients (TN, TP), transparency (SD), and chlorophyll-${alpha}$ (Chl) and identify their empirical relations of TN-Chl, TP-Chl and Chl-SD depending on the dataset used along with dynamics of conductivity and suspended solids. Analysis of trophic states showed that more than half of 36 reservoirs were judged as eutrophic-hypertrophic conditions depending on the trophic variables. Seasonal values of TP varied by nearly 500% and showed greater in August than any other months. In contrast, TN varied within less than 90% and all monthly mean values of TN were never fall less than 1.2 mg L$^{-1}$ indicating low seasonal variations and high ambient concentrations (eutrophic-hypertrophic state). Analysis of empirical relations in the trophic variables showed that transparency had greater functional relations with Chl (R$^2$=0.31, p<0.001) than TP (R$^2$=0.15, p<0.001) and TN (R$^2$=0.20, p<0.001). Ratios of TN : TP in the ambient water indicated that most reservoirs showed a potential phosphorous limitation on the algal growth. Thus, algal biomass, based on Chl values, was more regulated by phosphorous than nitrogen. Analysis of linear regression model, based on log-transformed annual mean values, showed that only 30% in the variation of Chl was explained by TP (R$^2$=0.295, p=0.001, n=36) and 15% by TN (R$^2$=0.151, p=0.019, n=36). However, linear regression model, based on individual system, showed that Chl-TP model had strong positive relations (R$^2$=0.62, p=0.002, n=12), whereas the model had no any relations (p=0.892, n=12). Overall, our data suggested that averaging effect in the empirical model developments may influence the significance in the statistical analysis.
 
Ű¿öµå
empirical relation;average effect;nutrient;chlorophyll;seasonal variation;
 
ȯ°æ»ý¹° / v.26, no.3, 2008³â, pp.252-263
Çѱ¹È¯°æ»ý¹°ÇÐȸ
ISSN : 1226-9999
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200820258465639)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
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