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Çѱ¹¼öÀÚ¿øÇÐȸ / v.25, no.4, 1992³â, pp.109-119
Ãß°èÇÐÀû °­¿ì-À¯Ãâ°ü°èÀÇ ½Ç½Ã°£ ¼øÈ¯¿¹Ãø¸ðÇü
( Real-time Recursive Forecasting Model of Stochastic Rainfall-Runoff Relationship )
¹Ú»ó¿ì;³²¼±¿ì; Á¤È¸¿ø, ¼­³²´ëÇб³ °ø°ú´ëÇÐ Åä¸ñ°øÇаú;Á¤È¸¿ø, µ¿±¹´ëÇб³ °ø°ú´ëÇÐ Åä¸ñ°øÇаú;
 
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The purpose of this study is to develop real-time streamflow forecasting models in order to manage effectively the flood warning system and water resources during the storm. The stochastic system models of the rainfall-runoff process using in this study are constituted and applied the Recursive Least Square and the Instrumental Variable-Approximate Maximum Likelihood algorithm which can estimate recursively the optimal parameters of the model. Also, in order to improve the performance of streamflow forecasting, initial values of the model parameter and covariance matrix of parameter estimate errors were evaluated by using the observed historical data of the hourly rainfall-runoff, and the accuracy and applicability of the models developed in this study were examined by the analysis of the I-step ahead streamflow forecasts.
 
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Çѱ¹¼öÀÚ¿øÇÐȸÁö / v.25, no.4, 1992³â, pp.109-119
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1738-9488
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO199211920094274)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
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