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Çѱ¹¼öÀÚ¿øÇÐȸ / v.35, no.1, 2002³â, pp.1-12
°ø°£ ºÐÆ÷µÈ °­¿ì¸¦ »ç¿ëÇÑ À¯Ã⠸Ű³º¯¼ö ÃßÁ¤ ¹× °­¿ì¿ÀÂ÷°¡ À¯Ãâ°è»ê¿¡ ¹ÌÄ¡´Â ¿µÇâºÐ¼®
( A Runoff Parameter Estimation Using Spatially Distributed Rainfall and an Analysis of the Effect of Rainfall Errors on Runoff Computation )
À±¿ë³²;±èÁßÈÆ;À¯Ã¶»ó;±è»ó´Ü; °í·Á´ëÇб³ Åä¸ñȯ°æ°øÇаú;°í·Á´ëÇб³ Åä¸ñȯ°æ°øÇаú;°í·Á´ëÇб³ ȯ°æ°øÇаú;°í·Á´ëÇб³ ¹æÀç°úÇбâ¼ú¿¬±¸¼Ò;
 
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This study was intended to investigate the rainfall-runoff relationship with spatially distributed rainfall data, and then, to analyze and quantify the uncertainty induced by spatially averaging rainfall data. For constructing spatially distributed rainfall data, several historical rainfall events were extended spatially by simple kriging method based on the semivariogram as a function of the relative distance. Runoff was computed by two models; one was the modified Clark model with spatially distributed rainfall data and the other was the conventional Clark model with spatially averaged rainfall data. Rainfall errors and discharge errors occurred through this process were defined and analyzed with respect to various rain-gage network densities. The following conclusions were derived as the results of this work; 1) The conventional Clark parameters could be appropriate for translating spatially distributed rainfall data. 2) The parameters estimated by the modified Clark model are more stable than those of the conventional Clark model. 3) Rainfall and discharge errors are shown to be reduced exponentially as the density of rain-gage network is increased. 4) It was found that discharge errors were affected largely by rainfall errors as the rain-gage network density was small.
 
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Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.35, no.1, 2002³â, pp.1-12
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200211920932670)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
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