¶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.33, no.3, 2000³â, pp.331-340
½Ç½Ã°£ ¹ü¶÷À§Çèµµ ¿¹ÃøÀ» À§ÇÑ ¼ö¸®ÇÐÀû ¸ðÇüÀÇ °³¹ß
( Hydraulic Model for Real Time Forecasting of Inundation Risk )
ÇѰǿ¬;¼ÕÀÎÈ£;ÀÌÀ翵; °æºÏ´ëÇб³ °ø°ú´ëÇÐ Åä¸ñ°øÇаú;°æºÏ´ëÇб³ ´ëÇпø Åä¸ñ°øÇаú;°æºÏ´ëÇб³ ´ëÇпø Åä¸ñ°øÇаú;
 
ÃÊ ·Ï
º» ¿¬±¸ÀÇ ¸ñÀûÀº ÇÏõ¿¡¼­ÀÇ ½Ç½Ã°£ ¹ü¶÷À§Çèµµ ÇØ¼®À» À§Çؼ­ DAMBRK ¸ðÇü°ú Kalman filter¸¦ ¿¬°èÇÑ ¼öÄ¡¸ðÇüÀ» °³¹ßÇϴµ¥ ÀÖ´Ù. º» ¸ðÇüÀº 1Â÷¿ø µ¿¿ªÇÐ ¹æÁ¤½ÄÀÇ ºñ¼±Çü À¯ÇÑÂ÷ºÐ ±Ù»çÇØÀÎ À½ÇعýÀ» ±âº»À¸·Î Çϰí ÀÖ´Ù. Ãß°èÇÐÀû ÃßÁ¤¹ýÀ¸·Î¼­ ÃÖÀûÀÇ °»½Å ¿¹ÃøÄ¡¸¦ ¾ò±â À§ÇØ È®ÀåµÈ Kalman filter ±â¹ýÀ» »ç¿ëÇÏ¿´´Ù. ÀÌ °úÁ¤Àº È®Á¤·ÐÀû ¸ðÇü¿¡ ÀÇÇÑ ¿¹ÃøÄ¡¸¦ Kalman filter gain factor¿¡ ÀÇÇØ º¸Á¤µÈ ½Ç½Ã°£ °üÃøÄ¡¿Í Á¶ÇÕÇÔÀ¸·Î½á ¼öÇàµÇ¾ú´Ù. È«¼ö¹ü¶÷À§Çèµµ´Â Çϵµ´Ü¸éÀÇ ±âÇÏÇü»ó°ú Manning Á¶µµ°è¼öÀÇ º¯µ¿¼ºÀ» °í·ÁÇÏ¿© Monte Carlo ¸ðÀǸ¦ Àû¿ëÇÏ¿© ¿¹ÃøµÇ¾ú´Ù. º» ¸ðÇüÀº 1990³â 9¿ù°ú 1995³â 8¿ùÀÇ ³²ÇѰ­ È«¼ö¿¡ Àû¿ëÇÏ¿© °ËÁõÇÏ¿´´Ù. Kalman filter¿¡ ÀÇÇÑ ÇØ¼®Àº ÀÌ ±â°£ µ¿¾È¿¡ È®Á¤·ÐÀû ÇØ¼®°á°ú¿Í ºñ±³ÇÏ¿© ½ÇÃøÀÚ·á¿Í Àß ÀÏÄ¡µÇ´Â ¾ç»óÀÌ ³ªÅ¸³µÀ¸¸ç, ÀÌ¿¡ µû¶ó Á¦¹æÀÇ ¿ù·ùÀ§Çèµµ¸¦ ¸ðÀÇµÈ È«¼öÀ§¿Í Á¦¹æ°í¸¦ ºñ±³ÇÔÀ¸·Î½á ¾òÀ» ¼ö ÀÖ¾ú´Ù.
This study aims to develop a methodology of real time forecasting of mundation risk based on DAMBRK model and Kalman filter. The model is based on implicit, nonlinear finite difference approximatIons of the one-dimensional dynamic wave equations. The stochastic estimator uses on extended Kalman filter to provide optimal updating estimates. These are accomplished by combining the predictions of the determurustic model with real time observauons modified by the Kalman filter gain ractor. Inundation risks are also estimated by applying Monte Carlo simulation to consider the variability in cross section geometry and Manning's roughness coefficient. The model calibrated by applying to the floods ot South Han River on September, 1990 and August, 1995. The Kalman tilter model indicates that significant improvement compared to deteriministic analysis in flood routing predictions in the river. Overtopping risk of levee is also presented by comparing levee height with simulated flood level. level.
 
Ű¿öµå
ÇÏõ;È«¼öÃßÀû;½Ç½Ã°£;Monte Carlo ¸ðÀÇ;river;flood routing;real time;Kalman Filter;Monte Carlo Simulation;
 
Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.33, no.3, 2000³â, pp.331-340
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200011920063713)
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¿