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Çѱ¹¼öÀÚ¿øÇÐȸ / v.37, no.9, 2004³â, pp.719-727
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ÃÖ¼ÒÁö½Â¹ý¿¡ ÀÇÇÑ QUAL2E ¸ðµ¨ ¹ÝÀÀ°è¼ö º¸Á¤
( Calibration of Parameters in QUAL2E using the Least-squares Method ) |
| ±è°æ¼·;À±µ¿±¸;À̱⿵; ±¹¸³ÇѰæ´ëÇб³ ȯ°æ°øÇаú;Çѱ¹¿øÀڷ¿¬±¸¼Ò;°æ±â°³¹ß¿¬±¸¿ø;
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| ¼öÁú¸ðµ¨Àº ¼ö°è³» ¿À¿°¹°ÁúÀÇ ÃÑ·®°ü¸®¸¦ À§ÇÑ ¿À¿°¹°Áú°ü¸® ¸ñÇ¥·® ¹× Çã¿ëÃÑ·® ÆÄ¾Ç, ±×¸®°í »è°¨°èȹÀÇ È¿°úºÐ¼® µî¿¡ È¿À²ÀûÀ¸·Î »ç¿ëÇÒ ¼ö ÀÖ´Ù. ±×·¯³ª ¼±Á¤ ¶Ç´Â °³¹ßµÈ ¸ðµ¨ÀÇ ÀçÇö¼º Á¦°í¸¦ À§ÇÏ¿© ¸Å°³º¯¼öÀÇ ÃÖÀûÈÀÛ¾÷ÀÌ ÇÊ¿äÇÏ´Ù. º» ¿¬±¸¿¡¼´Â ÇÏõ¼öÁú°ü¸®¿¡ °¡Àå ±¤¹üÀ§ÇÏ°Ô »ç¿ëµÇ°í ÀÖ´Â ¹Ì±¹ EPA¿¡¼ °³¹ßÇÑ QUAL2E ¸ðµ¨ÀÇ ¹ÝÀÀ°è¼ö º¸Á¤À» À§ÇÏ¿© ÃÖ¼ÒÀڽ¹ýÀ» Àû¿ëÇÏ¿´À¸¸ç, °è¼ö°¡ ÃëÇÒ ¼ö ÀÖ´Â ¹üÀ§¸¦ Á¦¾àÁ¶°ÇÀ¸·Î °®´Â ÃÖÀûȸðµ¨À» ±¸ÃàÇÏ¿© ÇØ¸¦ ±¸ÇÏ¿´´Ù. ÃÖÀûȸðµ¨ÀÇ ¸ñÀûÇÔ¼ö ÇØ´Â Microsoft ExcelÀÇ ÇØ ã±â ±â´ÉÀ» »ç¿ëÇÏ¿© ±¸ÇÏ¿´À¸¸ç ¼öÁúÇ׸ñ¿¡ ´ëÇÑ ¸Å°³º¯¼öÀÇ ¿µÇâÁ¤µµ¸¦ ÆÄ¾ÇÇϱâ À§ÇÏ¿© Monte Carlo ¸ðÀǸ¦ ½Ç½ÃÇÏ¿´´Ù. ÀÌ ¹æ¹ýÀ» ¾È¾çõ À¯¿ª¿¡ Àû¿ëÇÏ¿© º» °á°ú ºü¸¥ ½Ã°£ ¾È¿¡ ÁÖ°ü¼ºÀÌ ¹èÁ¦µÈ ¸Å°³º¯¼ö °ªÀ» È®Á¤ÇÒ ¼ö ÀÖ¾ú´Ù. |
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| Water quality models can be applied to manage the regional water quality problems and to estimate the target and allowable pollution load in watershed effectively. The optimization of state variables in the given water quality model Is necessary to build up more effective model. The least-squares method is applied to fit field observations in QUAL2E developed by U.S. EPA, which is most widely used one in the world to simulate the stream water quality, and the optimization model with constraints is constructed to estimate the parameters. The objective function of the optimization model is solved by Solver in Microsoft Excel and Monte Carlo simulation is conducted to know the influence of parameter in conventional pollutants. It is found that this technique is easily implemented and rapidly convergent computational procedure to calibrate the parameters after appling this approach in Anyang stream located in Kyonggi province mainly. |
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| Ű¿öµå |
| Monte Carlo ¸ðÀÇ;ÃÖÀûȸðµ¨;º¸Á¤;ÃÖ¼ÒÀڽ¹ý;QVAL2E;Monte Carlo simulation;optimization model;calibration;least-squares method; |
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Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.37, no.9, 2004³â, pp.719-727
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200413842112949)
¾ð¾î : Çѱ¹¾î |
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| ³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø |
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