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Çѱ¹¼öÀÚ¿øÇÐȸ / v.42, no.2, 2009³â, pp.131-139
½Ç½Ã°£ ¿¹º¸ ½Ã½ºÅÛÀ» À§ÇÑ ¿ì·®ÀÚ·á º¸Á¤ ±â¹ý ¿¬±¸
( A Study on the Reviesd Methods of Missing Rainfall Data for Real-time Forecasting Systems )
ÇÑ¸í¼±;±èÃæ¼ö;±èÇü¼·;±èÈÖ¸°; Çѱ¹°Ç¼³±â¼ú¿¬±¸¿ø ¼ö¹®¿¬±¸½Ç;Çѱ¹°Ç¼³±â¼ú¿¬±¸¿ø ¼ö¹®¿¬±¸½Ç;Çѱ¹°Ç¼³±â¼ú¿¬±¸¿ø ¼ö¹®¿¬±¸½Ç;ÇѰ­È«¼öÅëÁ¦¼Ò ÇÏõÁ¤º¸¼¾ÅÍ;
 
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Áö±¸ ¿Â³­È­ÀÇ ¿µÇâ¿¡ µû¸¥ ±â»ó À̺¯ÀÌ Àü¼¼°èÀûÀ¸·Î ±ÞÁõÇϰí ÀÖ´Ù. ÀÌ¿¡ µû¶ó ¿ì¸®³ª¶ó¸¦ Æ÷ÇÔÇÑ ¸¹Àº ³ª¶ó¿¡¼­ È«¼ö¿¹º¸ ½Ã½ºÅÛ°ú ¼ö¹®ÀڷḦ ÀúÀåÇÏ´Â ½Ã½ºÅÛÀ» ¿î¿µÇϰí ÀÖ´Ù. º» ¿¬±¸ÀÇ ¸ñÀûÀº ÀÌ·¯ÇÑ ½Ã½ºÅÛ¿¡¼­ ¿î¿µÇϰí ÀÖ´Â °áÃø¿ì·® º¸Á¤¹æ¹ýÀ» ¾Ë¾Æº¸°í ´õ È¿°úÀûÀÎ º¸Á¤¹æ¹ýÀ» ã¾Æ³»¾î Á¦½ÃÇϱâ À§ÇÔÀÌ´Ù. À̸¦ À§ÇØ ÇѰ­±Ç¿ª 194°³ TM ¿ì·®°üÃø¼Ò 10ºÐ ÀÚ·á ÀÌ¿ëÇÏ¿´´Ù. º¸Á¤¹æ¹ýÀº ½Ç½Ã°£ ¿ì·®ÀÚ·á º¸Á¤½Ã½ºÅÛ¿¡¼­ »ç¿ëÀÌ ¿ëÀÌÇÑ »ê¼ú Æò±Õ¹ý, ¿ª°Å¸® °¡Áß¹ý, »ó°ü°è¼ö °¡Áß¹ýÀ» ºñ±³ÇÏ¿´´Ù. °áÃø¹æ¹ý Æò°¡¸¦ À§ÇØ ÀÏÁ¤ °­¿ì·® ÀÌ»óÀÏ ¶§ÀÇ Á¶°Ç¿¡ ´ëÇØ ÃÖ¼Ò¿ÀÂ÷¹ýÀ» »ç¿ëÇÏ¿´´Ù. ¿ª°Å¸® °¡Áß¹ýÀÇ °æ¿ì Áö¼ö°¡ 1.5³ª 2.0ÀÏ ¶§ÀÇ °á°ú°¡ ¾çÈ£ÇÏ¿´À¸¸ç, ¹æ¹ý Áß¿¡¼­´Â »ó°ü°è¼ö°¡ Áß¹ýÀÌ Á¤·®ÀûÀ¸·Î °¡Àå ¾çÈ£ÇÑ °á°ú¸¦ º¸¿´´Ù.
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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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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