¶óÆæÆ®¦¢Ä«Æä¦¢ºí·Î±×¦¢´õº¸±â
¾ÆÄ«µ¥¹Ì Ȩ ¸í»çƯ°­ ´ëÇבּ¸½Ç޹æ Á¶°æ½Ç¹« µ¿¿µ»ó°­ÀÇ Çѱ¹ÀÇ ÀüÅëÁ¤¿ø ÇÐȸº° ³í¹®
ÇÐȸº° ³í¹®

Çѱ¹°Ç¼³°ü¸®ÇÐȸ
Çѱ¹°ÇÃà½Ã°øÇÐȸ
Çѱ¹µµ·ÎÇÐȸ
Çѱ¹»ý¹°È¯°æÁ¶ÀýÇÐȸ
Çѱ¹»ýÅÂÇÐȸ
Çѱ¹¼öÀÚ¿øÇÐȸ
Çѱ¹½Ä¹°ÇÐȸ
Çѱ¹½Ç³»µðÀÚÀÎÇÐȸ
Çѱ¹ÀÚ¿ø½Ä¹°ÇÐȸ
Çѱ¹ÀܵðÇÐȸ
Çѱ¹Á¶°æÇÐȸ
Çѱ¹Áö¹Ý°øÇÐȸ
Çѱ¹ÇÏõȣ¼öÇÐȸ
Çѱ¹È¯°æ»ý¹°ÇÐȸ
Çѱ¹È¯°æ»ýÅÂÇÐȸ

Çѱ¹¼öÀÚ¿øÇÐȸ / v.39, no.10, 2006³â, pp.867-880
°©ÃµÀ¯¿ªÀ» ´ë»óÀ¸·Î SWAT ¸ðÇüÀÇ ´Ù º¯¼ö ¹× ´Ù ÁöÁ¡ °Ë.º¸Á¤
( Multi-variable and Multi-site Calibration and Validation of SWAT for the Gap River Catchment )
±èÁ¤°ï;¼Õ°æÈ£;³ëÁØ¿ì;Àåâ·¡;°íÀÍȯ; Çѱ¹¼öÀÚ¿ø°ø»ç ¼öÀÚ¿ø¿¬±¸¿ø;Çѱ¹¼öÀÚ¿ø°ø»ç ¼öÀÚ¿ø¿¬±¸¿ø;Çѱ¹¼öÀÚ¿ø°ø»ç ¼öÀÚ¿ø¿¬±¸¿ø;Çѱ¹¼öÀÚ¿ø°ø»ç ¼öÀÚ¿ø¿¬±¸¿ø;Çѱ¹¼öÀÚ¿ø°ø»ç ¼öÀÚ¿ø¿¬±¸¿ø;
 
ÃÊ ·Ï
¸¹Àº ¼öÀÇ ¸Å°³º¯¼ö¿Í º¹ÀâÇÑ ±¸Á¶¸¦ °¡Áø ¼ö¹®¸ðÇüÀÇ Àû¿ë ½Ã ¼¼¹ÐÇÏ°í °­·ÂÇÑ ¸ðµ¨ °Ë º¸Á¤ÀÌ ¿ä±¸µÈ´Ù. º» ¿¬±¸¿¡¼­ ±Ý°­À¯¿ª¿¡ À§Ä¡ÇÑ °©Ãµ ¼ÒÀ¯¿ª¿¡ ÁØ ºÐÆ÷Çü ¸ðÇüÀÎ SWAT¸ðÇüÀ» ÀÌ¿ëÇÏ¿© ´Ù ¸ñÀû ÁöÁ¡ °Ë º¸Á¤ ¹æ¹ýÀ» Á¦½ÃÇÏ¿´´Ù. ¸ðÇüÀÇ º¸Á¤ Àü ¹Î°¨µµ ºÐ¼®À» ÅëÇÑ °¢ ¼ÒÀ¯¿ªº°·Î Ư¼º ºÐ¼®ÀÌ ÀÌ·ç¾î Á³°í, À¯Ãâ¿¡ ¹Î°¨ÇÑ ¸Å°³º¯¼öµéÀ» ÃßÁ¤ÇÏ¿´´Ù. ±×¸®°í ÃÖ¼ÒÇÑÀÇ º¸Á¤À» ÅëÇÑ ¸ðÇüÀÇ À¯È¿¼ºÀ» ³ôÀ̱â À§ÇØ, °üÃøµÈ µ¥ÀÌÅͷκÎÅÍ ¸Å°³º¯¼ö °ªÀ» ¼±º¸Á¤ÇÏ´Â °úÁ¤À» °ÅÃÆ´Ù. ±× °á°ú °¢ ¼ÒÀ¯¿ª º°·Î ´Ù¸¥ ¸Å°³º¯¼öµéÀÇ ¹Î°¨µµ°¡ ³ªÅ¸³µ´Ù. °üÃøÀ¯·®¿¡ ´ëÇÑ º¸Á¤ ´Ü°è¿¡¼­ $R_{eff}$´Â 0.41-0.84, $R^2$Àº 0.5-0.86 °ªÀ¸·Î ½Å·Ú¼º ÀÖ´Â °á°ú¸¦ ¾ò¾ú´Ù. Recursive digital filter·Î ÃßÁ¤µÈ ±âÀú À¯Ãâ·®À» ¾à 2% ¹üÀ§¿¡¼­ »êÁ¤ÇÏ¿´´Ù. °üÃø ÁöÇϼö ¼öÀ§¿ÍÀÇ ºñ±³¿¡¼­µµ ÀüüÀûÀ¸·Î °üÃøµÈ ÁöÇϼö ¼öÀ§ÀÇ ½Ã°£Àû º¯µ¿ÃßÀÌ¿Í º¯µ¿ ÆøÀ» Àß ³ªÅ¸³»¾úÀ¸¸ç, $R^2$´Â 0.69·Î ¸¸Á·½º·¯¿î °á°ú¸¦ º¸¿´´Ù. °á·ÐÀûÀ¸·Î, ´Ù ¸ñÀû ÁöÁ¡ ¹æ¹ýÀÇ »ç¿ëÀº ¸ðÇü±â ±¸Á¶¿Í ÃßÁ¤µÈ ¸Å°³º¯¼öµé¿¡ ³ôÀº ½Å·Úµµ¸¦ Á¦°øÇÏ¿´´Ù.
Hydrological models with many parameters and complex model structures require a powerful and detailed model calibration/validation scheme. In this study, we proposed a multi-variable and multi-site calibration and validation framework for the Soil Water Assessment Tool (SWAT) model applied in the Gap-cheon catchment located downstream of the Geum river basin. The sensitivity analysis conducted before main calibration helped understand various hydrological processes and the characteristics of subcatchments by identifying sensitive parameters in the model. In addition, the model's parameters were estimated based on existing data prior to calibration in order to increase the validity of model. The Nash-Sutcliffe coefficients and correlation coefficient were used to estimate compare model output with the observed streamflow data: $R_{eff};and;R^2$ ranged 0.41-0.84 and 0.5-0.86, respectively, at the Heuduck station. Model reproduced baseflow estimated using recursive digital filter except for 2-5% overestimation at the Sindae and Boksu stations. Model also reproduced the temporal variability and fluctuation magnitude of observed groundwater levels with $R^2$ of 0.71 except for certain periods. Therefore, it was concluded that the use of multi-variable and multi-site method provided high confidence for the structure and estimated parameter values of the model.
 
Ű¿öµå
´Ù ¸ñÀû.ÁöÁ¡ ¹æ¹ý;±âÀú À¯Ãâ;ÁöÇϼö ¼öÀ§;°©Ãµ;multi-variable and multi-site method;SWAT;baseflow;groundwater level;Recursive digital filter;Gap-cheon;
 
Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.39, no.10, 2006³â, pp.867-880
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200604623538398)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
¸ñ·Ïº¸±â
ȸ»ç¼Ò°³ ±¤°í¾È³» ÀÌ¿ë¾à°ü °³ÀÎÁ¤º¸Ãë±Þ¹æÄ§ Ã¥ÀÓÀÇ ÇѰè¿Í ¹ýÀû°íÁö À̸ÞÀÏÁÖ¼Ò ¹«´Ü¼öÁý °ÅºÎ °í°´¼¾ÅÍ
   

ÇÏÀ§¹è³ÊÀ̵¿