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Çѱ¹¼öÀÚ¿øÇÐȸ / v.41, no.8, 2008³â, pp.807-823
ÀÇ»ç¿ìµµÃßÁ¤¹ý¿¡ ÀÇÇÑ ºÐ»êÇÔ¼ö¸¦ °í·ÁÇÑ ¼öÀ§-À¯·® °ü°è °î¼± »êÁ¤¹ý °³¼±
( Improvement of Rating Curve Fitting Considering Variance Function with Pseudo-likelihood Estimation )
À̿켮;±è»ó¿í;Á¤Àº¼º;À̱漺; Çѱ¹¼öÀÚ¿ø°ø»ç Á¶»ç°ü¸®Ã³;¼­¿ï´ëÇб³ BK21 ¾ÈÀüÇϰí Áö¼Ó°¡´ÉÇÑ »çȸ±â¹Ý°Ç¼³ »ç¾÷´Ü;¼­¿ï´ëÇб³ °øÇבּ¸¼Ò;¼­¿ï´ëÇб³ °ø°ú´ëÇÐ °Ç¼³.ȯ°æ°øÇкÎ;
 
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¼öÀ§-À¯·® °ü°è °î¼±À» ³ªÅ¸³»´Â °î¼±½Ä¿¡ Æ÷ÇԵǾî ÀÖ´Â ¸Å°³º¯¼öÀÇ ÃßÁ¤À» À§ÇØ ¸¹ÀÌ »ç¿ëµÇ´Â ·Î±×¼±Çü ȸ±ÍºÐ¼®Àº ÀÜÂ÷ÀÇ ºñµîºÐ»ê¼º(heteroscedasticity)À» °í·ÁÇÏÁö ¸øÇϹǷΠº» ¿¬±¸¿¡¼­´Â ÀÇ»ç¿ìµµÃßÁ¤¹ý(pseudolikelihood estimation, P-LE)¿¡ ÀÇÇØ ºÐ»êÇÔ¼ö¸¦ ÃßÁ¤Çϰí ÀÌ¿Í ÇÔ²² ȸ±Í°è¼ö¸¦ ÃßÁ¤ÇÒ ¼ö ÀÖ´Â ¹æ¹ýÀ» Á¦½ÃÇÏ¿´´Ù. ÀÌ °úÁ¤¿¡¼­ Á¦½ÃµÈ ȸ±ÍÀÜÂ÷¸¦ ÃÖ¼ÒÈ­Çϱâ À§ÇÏ¿© SA(simulated annealing)À̶ó´Â Àü¿ª ÃÖÀûÈ­ ¾Ë°í¸®ÁòÀ» Àû¿ëÇÏ¿´´Ù. ¶ÇÇÑ ¼öÀ§-À¯·® °ü°è °î¼±Àº ´Ü¸é µîÀÇ ¿µÇâÀ¸·Î ÀÎÇØ ±¸°£¿¡ µû¶ó °¢°¢ ´Ù¸£°Ô ±¸ÃàµÇ¾îÁ®¾ß ÇϹǷΠÀ̸¦ º¸´Ù °´°üÀûÀ¸·Î ÆÇ´ÜÇÏ°í ºÐ¸® À§Ä¡¸¦ ÃßÁ¤Çϱâ À§ÇÏ¿© Heaviside ÇÔ¼ö¸¦ ÀÇ»ç¿ìµµÇÔ¼ö¿¡ Æ÷ÇÔ½ÃÄÑ °á°ú¸¦ ÃßÁ¤Çϵµ·Ï ÇÏ¿´À¸¸ç, 2°³ÀÇ ±¸°£À» °¡Áö´Â À¯·®ÀڷḦ ÀÌ¿ëÇÏ¿© Á¦½ÃµÈ ¹æ¹ýÀÇ ÇÕ¸®¼ºÀ» Åë°èÀûÀ¸·Î ½ÇÇèÇÏ¿´´Ù. ÀÌ¿Í °°ÀÌ Åë°èÀû ½ÇÇèÀ» ÅëÇØ Á¦½ÃµÈ ¹æ¹ýµéÀÌ ±âÁ¸ ¹æ¹ý°ú ºñ±³ÇÏ¿© °¡Áú ¼ö ÀÖ´Â ÀåÁ¡À» ÆÄ¾ÇÇÏ¿´À¸¸ç, Á¦½ÃµÈ ¹æ¹ýµéÀ» ±Ý°­À¯¿ª 5°³ ÁöÁ¡¿¡¼­ ´ëÇØ ¼öÇàÇÏ¿© È¿À²¼ºÀ» °ËÁõÇÏ¿´´Ù.
This paper presents a technique for estimating discharge rating curve parameters. In typical practical applications, the original non-linear rating curve is transformed into a simple linear regression model by log-transforming the measurement without examining the effect of log transformation. The model of pseudo-likelihood estimation is developed in this study to deal with heteroscedasticity of residuals in the original non-linear model. The parameters of rating curves and variance functions of errors are simultaneously estimated by the pseudo-likelihood estimation(P-LE) method. Simulated annealing, a global optimization technique, is adapted to minimize the log likelihood of the weighted residuals. The P-LE model was then applied to a hypothetical site where stage-discharge data were generated by incorporating various errors. Results of the P-LE model show reduced error values and narrower confidence intervals than those of the common log-transform linear least squares(LT-LR) model. Also, the limit of water levels for segmentation of discharge rating curve is estimated in the process of P-LE using the Heaviside function. Finally, model performance of the conventional log-transformed linear regression and the developed model, P-LE are computed and compared. After statistical simulation, the developed method is then applied to the real data sets from 5 gauge stations in the Geum River basin. It can be suggested that this developed strategy is applied to real sites to successfully determine weights taking into account error distributions from the observed discharge data.
 
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¼öÀ§-À¯·® °ü°è °î¼±;ºñµîºÐ»ê¼º;ÀÇ»ç¿ìµµÃßÁ¤¹ý;ºñ¼±Çü ȸ±ÍºÐ¼®;¼öÀ§-À¯·® °ü°è °î¼±ÀÇ ºÐ¸®;Discharge rating curve;Heteroscedasticity;Pseudo-likelihood estimation;Non-linear regression;Simulated annealing;Segmentation of discharge rating curve;
 
Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.41, no.8, 2008³â, pp.807-823
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200825457811881)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
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