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To be submitted to: Çѱ¹È¯°æºÐ¼®ÇÐȸ (2000-10-19) ¼öÁúº¯¼öÀÇ ÁöÈ­ÇÐÀû °Åµ¿À» Á¶ÀýÇÏ´Â ¿äÀο¡ ´ëÇÑ °íÂû - ¼­ÇØ °æ±â¸¸À» Áß½ÉÀ¸·Î ±è±âÇö*¡¤±è³ª¿µ¡¤¹Ú °æ *¼¼Á¾´ëÇб³ Áö±¸°úÇаú, ÀÎÇÏ´ëÇб³ ÇؾçÇаú Factors controlling geochemical behavior of water quality parameters - Case study of Kyunggi Bay, Yellow Sea Ki-Hyun Kim*, Na Young Kim and Kyeong Park *Department of Earth Science, Sejong University, Seoul 143-747, South Korea Department of Oceanography, Inha University, Inchon 402-751, South Korea Abstract: To analyze factors controlling geochemical behavior of water quality parameters at the Kyunggi Bay area, we conducted a series of statistical analysis on the water quality data collected from 61 articles/reports and the meteorological data (1985 - 1998). A series of statistical approaches were conducted on the data groups divided on the basis of salinity and water depth. The results indicated that the strongest correlation was seen between mid-high salinity ranges at surface water. The correlation analysis between surface and bottom waters for same salinity group showed that most parameters were significantly correlated at the cost of different water depth. The relationships between water-quality and meteorological parameters were also analyzed using the meteorological data measured from four monitoring stations in Kyunggi Bay. The six data groups divided on the basis of both salinity and water depth generally exhibited abundant correlations among most important parameters. Factor analysis (FA) was also conducted to describe major components affecting the water-quality parameters in the study area. The results of FA indicated that the water-quality of the Kyunggi Bay is affected most significantly by such factors as: meteorological (air temperature, steam pressure), chemical (TIN, NH4-N, PO4-P) and biological (chlorophyll-a, sunshine time, sunshine percent) factors. The overall results of our study hence suggest the possible significance on the interactions between water-quality and meteorological parameters. key words: correlation analysis, factor analysis, water quality parameter, meteorological data, Kyunggi Bay ----------------------- * Corresponding member 1. ¼­·Ð Áö±¸ÀÇ È¯°æ»ýÅÂ°è ³»¿¡ Á¸ÀçÇÏ´Â ¸ðµç »ý¸íü´Â ¼­½ÄÁöÀÇ ±âÈÄ¿¡ ÀûÀÀÇÏ¸ç »ì¾Æ°£´Ù. ±âÈĺ¯È­´Â ´ë±â¿Í ÇؾçÀ̶ó´Â °Å´ëÇÑ ¿­ ±³È¯ÀåÄ¡°¡ Á¤»ó»óÅ (steady - state condition)·ÎºÎÅÍ ÀÏÅ»ÇÔÀ¸·Î¼­ ¾ß±âµÈ´Ù°í º¼ ¼ö ÀÖ´Ù. ±×·±µ¥ Çؾç°ú ´ë±â°£ÀÇ º¯È­´Â Çؾç°ú ´ë±â¸¦ ±¸¼ºÇÏ´Â °ø±â¿Í ¹°(Çؼö)°£¿¡ ¹°¸®Àû º¯È­°¡ ÀÛ¿ëÇÏ´Â °ÍÀ¸·ÎºÎÅÍ Ãâ¹ßÇÑ´Ù°í º¼ ¼öµµ ÀÖ´Ù. ÇؾçÀÇ ±âº»±¸Á¶´Â ´ë±â-ÇØ¾ç »óÈ£ÀÛ¿ë¿¡ ÀÇÇؼ­µµ °áÁ¤µÇÁö¸¸, ¿ªÀ¸·Î ´ë±â±¸Á¶ÀÇ º¯È­°¡ ÇؾçÀÇ ¿ªÇÒ¿¡ ¿µÇâÀ» ¹ÌÄ¡´Â °ÍÀ¸·Î °£ÁÖÇÒ ¼öµµ ÀÖ´Ù. ÀÌ·¯ÇÑ ÀÌÀ¯·Î ÀÎÇØ Çؾ籸Á¶ÀÇ º¯È­´Â Çؾç-´ë±âÀÇ »óÈ£ÀÛ¿ë¿¡ ¹Î°¨ÇÏ°Ô ¹ÝÀÀÇÏ´Â °ÍÀ¸·Î ³ªÅ¸³­´Ù. ÀÌ´Â º¯È­ÀÇ µ¿ÀÎÀ¸·Î ÀÛ¿ëÇÏ´Â ´ë±â±¸Á¶¿ÍÀÇ »ó´ëÀûÀÎ °ü°è·ÎºÎÅÍ ¼³¸íÀÌ °¡´ÉÇÏ´Ù. Çػ󿡼­ ´ë±â±¸Á¶ÀÇ º¯È­¿¡ ´ëÇÑ Çؾç¹ÝÀÀ, Çؾ籸Á¶¿¡ ÀÇÇÑ ±â´ÜÀÇ º¯Áú, Çؾç-´ë±â °æ°èÃþ¿¡¼­ÀÇ ¿­¼öÁö¿Í °ü·ÃµÈ ¹®Á¦, ¹°¸®-»ý¹°-È­ÇÐÀÇ ±³È£ÀÛ¿ë µî¿¡ ´ëÇÑ Çؼ®Àº µÎ Çй®ºÐ¾ßÀÇ °øµ¿Á¶»ç¿Í ¿¬±¸¸¦ ÅëÇØ ±¤¹üÀ§ÇÑ ÀÌÇØÀÇ °ø°¨´ë¸¦ Çü¼ºÇÒ ¼ö ÀÖ´Â ºÐ¾ß·Î º¼ ¼ö ÀÖ´Ù. ±¹³»ÀÇ °æ¿ì ±âÁ¸¿¡ ¼Ò¾çÈ£1), ±¤¾ç¸¸2), ÁøÇظ¸3) ¼ö°è µî¿¡¼­ »ý¹°ÇÐÀûÀÎ °üÁ¡¿¡ ±âÃÊÇÏ¿© ¼öÁú°üÃø ¹× ¹Ì»ý¹°¿¡ ´ëÇؼ­ ½Ã¡¤°ø°£ÀûÀ¸·Î Á¦ÇÑÀûÀÎ ¿äÀκм®À» ½Ç½ÃÇÑ ¹Ù ÀÖ´Ù. ¿Ü±¹ÀÇ °æ¿ì¿¡´Â Carter et al.4)ÀÌ Washington, D.C.ÀÇ Potomac River¿¡¼­ ±â»ó (dz¼Ó, ÀÏÁ¶À²) ¹× ¼öÁú (¼ö¿Â, Åõ¸íµµ, ÃѺÎÀ¯¹°Áú)º¯¼öÀÇ °ü°è¸¦ ºÐ¼®ÇÏ¿©, ÀÌµé ¿äÀÎÀÌ ¼ö»ý½Ä¹°ÀÇ ¼ºÀå¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» ¿¬±¸ÇÑ ¹Ù ÀÖ´Ù. °æ±â¸¸¿¡¼­´Â Choi and Shim5)ÀÌ ±¤µµ, º¸»ó±íÀÌ, ¼Ò±¤°è¼ö, Åõ¸íµµ, ºÎÀ¯¹°Áú µîÀÇ ºÐÆ÷Ư¼ºÀ» ¿¬±¸ÇÑ ¹Ù ÀÖ´Ù. À¯ ¿Í ½Å6)Àº žȹݵµ¿¡¼­ ¼ö¿Â, ¿°ºÐ, ¼Ò±¤°è¼ö, ¿±·Ï¼Ò µîÀ» ÀÌ¿ëÇÏ¿© ½Ä¹°ÇöûÅ©Åæ¿¡ ´ëÇÑ ±¤ Á¶°ÇÀ» ¿¬±¸¸¦ ¼öÇàÇÑ ¹Ù ÀÖ´Ù. ±×·¯³ª ÀÌ·¯ÇÑ ±âÁ¸ÀÇ ¿¬±¸µéÀº ÀϺΠ¼öÁúº¯¼ö ¹× Á¦ÇÑµÈ ±â»ó¿ä¼Ò¿ÍÀÇ °ü°è¸¦ ºÐ¼®Çϴµ¥ ±¹ÇÑµÈ °ÍÀ¸·Î¼­, ¾ÆÁ÷±îÁö º» ¿¬±¸ ÇØ¿ª¿¡ ´ëÇؼ­ ¼öÁúº¯¼ö¿Í ±â»ó¿ä¼ÒÀÇ »óÈ£°ü°è µî¿¡ ´ëÇÑ ÀÚ·áÀÇ ÃàÀûÀÌ ¹ÌÈíÇÏ´Ù. ÃÖ±Ù Á¶¿Í ä7)´Â ÀÌÁúÀûÀÎ