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Çѱ¹¼öÀÚ¿øÇÐȸ / v.42, no.2, 2009³â, pp.131-139
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( A Study on the Reviesd Methods of Missing Rainfall Data for Real-time Forecasting Systems ) |
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| The weather accidents by global warming effect are increasing rapidly whole world. Flood forcasting system and hydrological database are operated by almost all the countries in the world. An objective of this study is to research revised methods of missing rainfall data and find more effective revised method for this operating system. 194 rainfall data of the Han river basin is used. Arithmetic average method, coefficient of correlation weighting method and inverse distance weighting method are compared to estimate revised methods. The result from the analysis shows that coefficient of correlation weighting method is best quantitatively among the 3 methods. |
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| Ű¿öµå |
| °¿ì ÀÚ·á;º¸Á¤¹æ¹ý;½Ç½Ã°£ ¿¹º¸ ½Ã½ºÅÛ;»ê¼ú Æò±Õ¹ý;¿ª°Å¸® °¡Áß¹ý;»ó°ü°è¼ö °¡Áß¹ý;Rainfall Data;Revised Method;Real-Time Forecasting System;Average Method;Inverse Distance Weighting Method;Coefficient of Correlation Weighting Method; |
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Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.42, no.2, 2009³â, pp.131-139
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200906939466395)
¾ð¾î : Çѱ¹¾î |
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| ³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø |
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