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Çѱ¹ÇÏõȣ¼öÇÐȸ / v.40, no.1, 2007³â, pp.72-81
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Á¤¼ö »ýÅÂ°è °Ç°¼º Æò°¡¸¦ À§ÇÑ ´Ùº¯¼ö ¸ÞÆ®¸¯ ¸ðµ¨ °³¹ß
( A Development of Multi-metric Approach for Ecological Health Assessments in Lentic Ecosystems ) |
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| º» ¿¬±¸¿¡¼´Â Á¤¼ö »ýŰèÀÇ °Ç°¼º Æò°¡¸¦ À§ÇÏ¿© ¹°¸®Àû, ÈÇÐÀû, »ý¹°ÇÐÀû ´Ùº¯¼ö ¸ÞÆ®¸¯ Æò°¡¸ðµ¨À» °³¹ßÇϰí, °³¹ßµÈ ¸ðµ¨À» ÀÌ¿ëÇÏ¿© 2005³â 9¿ù¿¡ ´ëûȣÀÇ »ýÅ °Ç°¼ºÀ» Æò°¡¸¦ ½Ç½ÃÇÏ¿´´Ù. ¸ÞÆ®¸¯ÀÇ Æ¯¼ºÀ» À§ÇÏ¿© »ç¿ëµÈ º¯¼ö·Î´Â »ý¹°ÇÐÀû º¯¼ö, ¹°¸®Àû º¯¼ö, ÈÇÐÀû º¯¼ö¸¦ Àû¿ëÇÏ¿´´Ù. $M_1{sim}M_8$ÀÇ ¸ÞÆ®¸¯Àº ¾î·ù¸¦ ÀÌ¿ëÇÑ »ý¹°Áö¼ö ¸ðµ¨À» Àû¿ëÇÏ¿´°í, $M_9{sim}M_{11}$ÀÇ ¸ÞÆ®¸¯Àº ¹®Çå¿¡ ÀǰÅÇÏ¿© ¼öÁ¤º¸¿Ï ÇÏ¿´´Ù(U.S. EPA, 1998). $M_9$ÀÇ ¸ÞÆ®¸¯Àº È£¼Ò ¿¬¾È´ëÀÇ ¼½ÄÁö Ư¼ºÀ» ¹Ý¿µÇÏ¿´°í, $M_{10}$ÀÇ ¸ÞÆ®¸¯Àº È£¼ÒÀÇ ÈÇÐÀûÀÎ ¼öÁú»óŸ¦ ¹Ý¿µÇÏ¿´´Ù. Áï, $M_{10}$ÀÇ °á°ú¿¡ µû¸¥ ȸ±Í½ÄÀº $COD_{Mn}=4.42{ imes}Log_{10}(Cond)-5.43(R^2=0.774$, <0.01, n=150) ·Î¼ Àü±¹ÀÇ 150°³ È£¼Ò¿¡¼ÀÇ Àü±âÀüµµµµ °ªÀº $COD_{Mn}$ÀÇ º¯À̸¦ 77.4%¼³¸íÇϰí ÀÖ´Ù. $M_{11}$ÀÇ ¸ÞÆ®¸¯Àº È£¼ÒÀÇ ¿±·Ï¼Ò-${alpha}$¿¡ ÀǰÅÇÑ ºÎ¿µ¾çȵµ Áö¼ö(Tropic State Indek, TSI)¸¦ ÀÌ¿ëÇÏ¿´´Ù. È£¼ÒÀÇ TSI(Chl-${alpha}$)°ª¿¡ µû¶ó 50 ÀÌ»óÀº "1", $40{sim}50$Àº "3", 40ÀÌÇÏ´Â "5"·Î »êÁ¤ÇÏ¿´´Ù. »ó±â 11°³ ´Ùº¯¼ö ¸ðµ¨À» ÀÌ¿ëÇÑ ´ëûȣ »ýÅÂ°è °Ç°¼º Æò°¡ °á°ú¿¡ µû¸£¸é, ´ëûȣÀÇ 4°³ ÁöÁ¡ »ýŰǰ¼º Æò±Õ°ªÀº "30"À¸·Î¼ ¹Ì±¹È¯°æºÎ(U.S. BPA, 1993)ÀÇ µî±Þ¿¡ ÀǰÅÇÏ¿© "º¸Åë»óÅÂ${sim}$¾ÇÈ»óÅÂ" $(Fair{sim}poor)$·Î ³ªÅ¸³µ´Ù. |
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| The purpose of this study was to develop a multi-metric Lentic Ecosystem Health Assessment (LEHA) model and apply model to dataset sampled from Daechung Reservoir in September 2005. The metrics were composed of 11 parameters such as physical, chemical and biological variables. The metric attributes of $M_1{sim}M_8$ followed after the model of biological integrity using fish assemblages that previously adapted in lotic ecosystems, while the metrics of $M_9{sim}M_{11}$ were added on the basis of literature. The metric of $M_9$ reflected habitat conditions in the littoral zone and the metric of $M_{10}$ reflected chemical conditions of the reservoir. For the application of regression analysis of long-transformed conductivity [$Log_{10}$(Cond)] against $COD_{Mn}$, based on 150 sampling sites at Korean reservoirs, showed that the variation of conductivity was explained 77.4% [$COD_{Mn}=4.42{ imes}Log_{10}(Cond)-5.43;;R^2=0.774$, p<0.01, n=150] by the variation of $COD_{Mn}$. The metric of $M_{11}$ was based on Tropic State Index (TSI), based on chlorophyll-${alpha}$ concentrations (Chl-${alpha}$). Analysis of TSI $(Chl-{alpha})$ showed that above 50 was estimated "1", $40{sim}50$ was estimated "3" and below 40% was estimated '5'. Overall, velues of LEHA in the reservoir averaged 30.5, indicating a "fair${sim}$poor condition", which is judged by the criteria of U.S. EPA (1993). More studies such as metric numbers and attributes should be done for the application of the model. |
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| Lentic Ecosystem Health Assessment (LEHA);multi-metric;TSI; |
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Çѱ¹ÇÏõȣ¼öÇÐȸÁö / v.40, no.1, 2007³â, pp.72-81
Çѱ¹ÇÏõȣ¼öÇÐȸ
ISSN : 1976-8087
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200709905948997)
¾ð¾î : Çѱ¹¾î |
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| ³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø |
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