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Çѱ¹¼öÀÚ¿øÇÐȸ / v.39, no.3, 2006³â, pp.187-198
À̼ö±â Àú¼öÁö ¿î¿µÀ» À§ÇÑ ¾Ó»óºí À¯·®¿¹ÃøÀÇ È¿¿ë¼º
( Value of Ensemble Streamflow Forecasts for Reservoir Operations during the Drawdown Period )
À½ÇüÀÏ;°íÀÍȯ;±è¿µ¿À; ¼­¿ï´ëÇб³ Áö±¸È¯°æ½Ã½ºÅÛ°øÇкÎ;Çѱ¹¼öÀÚ¿ø°ø»ç ¼öÀÚ¿ø¿¬±¸¿ø ¼öÀÚ¿ø½Ã½ºÅÛ¿¬±¸¼Ò;¼­¿ï´ëÇб³ Áö±¸È¯°æ½Ã½ºÅÛ°øÇкÎ;
 
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Çѱ¹¼öÀÚ¿ø°ø»ç¿¡¼­´Â ¸Å¿ù 1ÀÏ »ý¼ºÇÑ ¿ù ¾Ó»óºí À¯·®¿¹Ãø(Ensemble Streamflow Prediction, ESP)À» ±Ù°Å·Î ¿ù ÃÖÀû¿î¿µ ¸ðÇüÀÎ SSDP¸ðÇüÀ» ÅëÇØ ¿ù¸»¸ñÇ¥Àú¼ö·®À» »êÁ¤ÇÒ ¼ö ÀÖ´Â ½Ç½Ã°£ ¹° °ü¸® ½Ã½ºÅÛÀ» ±¸ÃàÇÏ¿´´Ù. ±×·¯³ª ¿ù Áß°£¿¡ ¹ß»ýÇÏ´Â ¼ö¹®±â»óÇÐÀû º¯È­¸¦ ¹Ý¿µÇÒ ¼ö ¾ø´Ù´Â ´ÜÁ¡À» °¡Áö°í ÀÖ¾î À̸¦ º¸¿ÏÇÏÀÚ´Â Çʿ伺ÀÌ Á¦±âµÇ¾ú´Ù. À̸¦ À§ÇØ º» ¿¬±¸¿¡¼­´Â 1ÀϺÎÅÍ ¿¹Ãø½ÃÁ¡±îÁö´Â ±× µ¿¾È ¹ß»ýÇÑ °­¿ì °üÃøÀڷḦ ÀÌ¿ëÇϰí ÀÌÈÄ ±â°£¿¡´Â ¹ß»ý °¡´ÉÇÑ ¸ðµç °ú°Å °­¼ö½Ã³ª¸®¿À¸¦ ÀÌ¿ëÇÏ´Â ±â¹ýÀ» ÅëÇØ ¸Å¿ù 10ÀÏ °£°ÝÀ¸·Î 3Â÷·Ê ¾Ó»óºí¿¹ÃøÀ» °»½ÅÇÏ¿© ¿¹ÃøÁ¤È®µµ¸¦ Çâ»ó½ÃÄ×À¸¸ç, ¿¹ÃøÁ¤È®µµ¿¡ µû¸¥ Àú¼öÁö ¿î¿µÈ¿°úÀÇ °³¼±¿©ºÎ¸¦ Á¤·®ÀûÀ¸·Î ºÐ¼®ÇÏ¿´´Ù. ±× °á°ú ¿ùÁß ¼ö¹®»óȲÀ» ¹Ý¿µÇÑ SSDP/ESP21¸ðÇüÀÌ ±×·¸Áö ¸øÇÑ SSDP/ESP01¸ðÇü¿¡ ºñÇØ ¿¬Æò±Õ $1;X;10^6;m^3$ÀÇ ¿ë¼öºÎÁ· °¨¼ÒÈ¿°ú¸¦ °¡Á³À¸¸ç Àü¹ÝÀûÀ¸·Î À̼ö±â¿¡ ÃÑ À¯·®ÀÌ ÀûÀ¸¸é¼­ ¿¹ÃøÁ¤È®µµ°¡ Çâ»óµÈ °æ¿ì »ó´çÇÑ ¿ë¼öºÎÁ· °¨¼ÒÈ¿°ú¸¦ ³ªÅ¸³¿À» ¶ÇÇÑ ¾Ë ¼ö ÀÖ¾ú´Ù.
Korea Water Resources Corporation(KOWACO) has developed the Integrated Real-time Water Management System(IRWMS) that calculates monthly optimal ending target storages by using Sampling Stochastic Dynamic Programming(SSDP) with Ensemble Streamflow Prediction(ESP) running on the $1^{st}$ day of each month. This system, however, has a shortcoming: it cannot reflect the hydrolmeteorologic variations in the middle of the month. To overcome this drawback, in this study updated ESP forecasts three times each month by using the observed precipitation series from the $1^{st}$ day of the month to the forecast day and the historical precipitation ensemble for the remaining days. The improved accuracy and its effect on the reservoir operations were quantified as a result. SSDP/ESP21 that reflects within-a-month hydrolmeteorologic states saves $1;X;10^6;m^3$ in water shortage on average than SSDP/ESP01. In addition, the simulation result demonstrated that the effect of ESP accuracy on the reduction of water shortage became more important when the total runoff was low during the drawdown period.
 
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¾Ó»óºí¿¹Ãø;Ç¥º»Ãß°èÇÐÀû µ¿Àû°èȹ¹ý;¿¹ÃøÁ¤È®µµ;¿î¿µÈ¿°ú;Ensemble streamflow prediction;Sampling Stochastic Dynamic Programming;Forecast accuracy;Operational effect;
 
Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.39, no.3, 2006³â, pp.187-198
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200617033458362)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
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