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Çѱ¹¼öÀÚ¿øÇÐȸ / v.35, no.4, 2002³â, pp.385-395
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³«µ¿° À¯¿ª¿¡¼ÀÇ È®Á¤·ÐÀû ¹× Ãß°èÇÐÀû ¼öÁúÇØ¼®
( Deterministic and Stochastic Water Quality Analysis in the Nakdong River ) |
| ÇѰǿ¬;ÃÖÇö»ó;±è»óÈ£; °æºÏ´ëÇб³ °ø°ú´ëÇÐ Åä¸ñ°øÇаú;°æºÏ´ëÇб³ ´ëÇпø Åä¸ñ°øÇаú;»óÁö´ëÇб³ Åä¸ñ°øÇаú;
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| ÇÏõ¿¡¼ÀÇ ¼öÁúº¯µ¿À» ¿¹ÃøÇϱâ À§ÇØ FOEA(First-Order Error-Analysis)¿Í Monte Carlo ¸ðÀǸ¦ Àû¿ëÇÑ Ãß°èÇÐÀû ¸ðÇüÀ» °³¹ßÇÏ¿´´Ù. ¿µÇâ¸ÞÆ®¸¯½º(Influential matrix)¸¦ ÀÌ¿ëÇÑ ¹Î°¨µµ ºÐ¼®À» ½Ç½ÃÇÏ¿© ÁÖ¿ä ¹ÝÀÀ°è¼ö¸¦ °áÁ¤ÇÏ¿´°í, BFGS(Broyden-Fletcher-Goldfarb-Shanno) ÃÖÀûÈ ±â¹ýÀ» »ç¿ëÇÏ¿© ÁÖ¿ä ¹ÝÀÀ°è¼ö °ªÀ» »êÁ¤ÇÏ¿´´Ù. º» ¸ðÇüÀ» È®Á¤·ÐÀû ¼öÁúÇØ¼®°ú µ¿ÀÏÇÑ ½ÇÁ¦ Çϵµ±¸°£¿¡ Àû¿ëÇÏ¿© Ãß°èÇÐÀû ¼öÁúÇØ¼®À» ½Ç½ÃÇÏ¿´°í, ±× °á°ú´Â È®Á¤·ÐÀû ÇØ¼®°á°ú¿Í Àß ÀÏÄ¡ÇÏ¿´´Ù. À¯·®°ú ¼öÁú, ¹ÝÀÀ°è¼ö µî¿¡ Æ÷ÇÔµÈ ºÒÈ®½Çµµ°¡ ÇÏ·ù´ÜÀÇ ºÒÈ®½Çµµ¿¡ ³¢Ä¡´Â ¿µÇâÀ» »êÁ¤Çϱâ À§ÇØ »ó·ù´Ü°ú Áö·ùÀÇ À¯·® ¹× ¼öÁú¿¡ ´ëÇÑ ºÒÈ®½Çµµ, ±×¸®°í ¹ÝÀÀ°è¼öÀÇ ºÒÈ®½Çµµ¿¡ ´ëÇÑ ºÐ¼®°úÁ¤ÀÌ ¸ðÇü¿¡ Æ÷ÇԵǾú´Ù. ¸ðÀǼöÇà °á°ú·ÎºÎÅÍ °¢ º¯¼öµéÀÌ °¡Áö°í ÀÖ´Â ºÒÈ®½Çµµ°¡ ÃÑ ºÒÈ®½Çµµ¿¡ ³¢Ä¡´Â ¿µÇâ¿¡ ´ëÇÑ ±â¿©µµ¸¦ »êÁ¤ ÇÒ ¼ö ÀÖ¾ú´Ù. |
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| A stochastic model using FOEA(First-Order Error-Analysis) and Monte Carlo Method is developed to predict water quality variation in a river. A sensitivity analysis using influential matrix is performed to determine the significant reaction coefficients. Also the BFGS (Broyden-Fletcher-Goldfarb-Shanno) optimization method is applied to estimate the optimal values of the major reaction coefficients. The developed stochastic model is applied to the real study reach and the results are agreed well with those of deterministic analysis. The process for analyzing the uncertainties of the discharge, water quality and reaction coefficients of headwater and tributaries is included in the model to estimate the influence on the water quality variation at downstream. The extents of contribution of the uncertainties influencing on the total uncertainty can be evaluated from the results of the model. |
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| Ű¿öµå |
| ¼öÁúÇØ¼®;Ãß°èÇÐÀû ÇØ¼®;¹Î°¨µµ ºÐ¼®;1Â÷ ¿ÀÂ÷ÇØ¼®;Monte Carlo ¸ðÀÇ;water-quality;stochastic analysis;sensitivity analysis;FOEA;Monte Carlo; |
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Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.35, no.4, 2002³â, pp.385-395
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200218718191172)
¾ð¾î : Çѱ¹¾î |
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| ³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø |
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