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Çѱ¹¼öÀÚ¿øÇÐȸ / v.43, no.8, 2010³â, pp.695-707
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ÀÌ·ù¸ðµ¨À» Ȱ¿ëÇÑ Ãʴܽ𣠰¿ì¿¹ÃøÀÇ Àû¿ë¼º Æò°¡
( The Applicability Assesment of the Short-term Rainfall Forecasting Using Translation Model ) |
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| ±âÈĺ¯È·Î ÀÎÇØ ÅÂdz°ú ÁýÁßÈ£¿ìÀÇ ºóµµ ¹× ±Ô¸ð°¡ Áõ°¡Çϰí ÀÖÀ¸¸ç, ÀÌ·Î ÀÎÇÑ ÇÇÇØ ¿ª½Ã Áõ°¡Çϰí ÀÖ´Ù. ÅÂdz°ú ÁýÁßÈ£¿ì·Î ÀÎÇÑ ÇÇÇØ¸¦ ÁÙÀ̱â À§ÇÑ È«¼ö ¿¹ °æº¸ ½Ã½ºÅÛ¿¡´Â ´Ü½Ã°£ °¿ì¿¹Ãø¸ðµ¨°ú ·¹ÀÌ´õ ÀڷḦ ÀÌ¿ëÇÏ¿© »êÁ¤µÈ ¿¹Ãø°¿ì°¡ ÇÊ¿äÇÏ´Ù. À̸¦ À§ÇÏ¿© ¿Ü±¹ÀÇ °æ¿ì ´Ü½Ã°£ °¿ì¿¹Ãø ¸ðµ¨À» °³¹ßÇÏ¿© ·¹ÀÌ´õ ÀڷḦ ÀÌ¿ëÇÑ °¿ì¿¹ÃøÀ» ¼öÇàÇϰí À̸¦ ¼ö¹®¸ðÇü°ú ¿¬°èÇÏ¿© ±× Àû¿ë¼ºÀ» ºÐ¼®Çϰųª È«¼ö¿¹º¸ÀÇ È°¿ë¼ºÀ» Æò°¡ÇÏ´Â ¿¬±¸¸¦ Ȱ¹ßÈ÷ ÁøÇàÇϰí ÀÖ´Ù. ÀÌ¿¡ º» ¿¬±¸¿¡¼´Â È«¼ö¿¹º¸¸¦ À§ÇÑ ´Ü½Ã°£ ¿¹Ãø°¿ìÀÇ È°¿ë Ãø¸é¿¡¼ ±â»ó·¹ÀÌ´õ Á¤º¸¿Í °áÇÕµÈ ÀÌ·ù¸ðµ¨À» Ȱ¿ëÇÑ Ãʴܽ𣠰¿ì¿¹º¸ÀÇ ±¹³» Àû¿ë¼ºÀ» Æò°¡ÇϰíÀÚ ÇÑ´Ù. À̸¦ À§ÇØ ÃÖ¼ÒÀڽ¹ý(Least-square fitting) ±â¹ýÀ¸·Î ·¹ÀÌ´õ °¿ì¸¦ ÃßÁ¤Çϰí, ÃßÁ¤µÈ °¿ì¸¦ ÀÌ·ù¸ðµ¨ÀÇ ÃʱâÀåÀ¸·Î Ȱ¿ëÇÏ¿´´Ù. ¶ÇÇÑ, ·¹ÀÌ´õ ¿¹Ãø°¿ì¿Í Áö»ó°üÃø°¿ìÀÇ ºñ±³¸¦ ÅëÇØ ·¹ÀÌ´õ ¿¹Ãø°¿ìÀÇ Á¤È®µµ¸¦ Á¤¼ºÀû Á¤·®ÀûÀ¸·Î Æò°¡Çϰí, µµ½ÃÈ«¼ö¿¹º¸ÀÇ È°¿ë Ãø¸éÀ» °í·ÁÇÏ¿© Áß¶ûõ À¯¿ªÀ» ´ë»óÀ¸·Î Ãʴܽ𣠿¹Ãø°¿ìÀÇ À¯¿ªÆò±Õ°¿ì·®À» »êÁ¤ÇÏ¿© Æò°¡ÇÏ¿´´Ù. ¿¬±¸ °á°ú, °ü¾Ç»ê ·¹ÀÌ´õ¿Í Áøµµ ·¹ÀÌ´õ ´ëºÎºÐÀÇ »ç·Ê¿¡¼ ¼±Çà½Ã°£ÀÇ Áõ°¡¿¡ µû¶ó ¿¹Ãø°¼öÀÇ Á¤È®µµ°¡ °¨¼ÒÇÏÁö¸¸ Á¤¼ºÀû Æò°¡ Ãø¸é¿¡¼ ¿¹Ãø°¿ì´Â 0.6 ÀÌ»óÀÇ ³ôÀº Á¤È®µµ¸¦ ³ªÅ¸³»¾úÀ¸¸ç, Á¤·®Àû Ãø¸é¿¡¼ ¿¹Ãø°¿ì¿Í °üÃø°¿ì¿ÍÀÇ »ó°ü°è¼ö´Â Æò±ÕÀûÀ¸·Î ¼±Çà½Ã°£ 1½Ã°£ À̳»¿¡¼ ´ëºÎºÐ 0.5 ÀÌ»óÀÇ ºñ±³Àû ÁÁÀº »ó°ü¼ºÀ» º¸¿´´Ù. ¿¹Ãø À¯¿ªÆò±Õ°¿ìÀÇ Æò°¡ °á°ú °üÃø°¿ì¿¡ ºñÇØ °ú¼ÒÃßÁ¤ÇÏ´Â °æÇâÀÌ ÀÖÀ¸³ª Æò±ÕÀûÀ¸·Î »ó°ü°è¼ö 0.5 ÀÌ»óÀ¸·Î ºñ±³Àû Á¤È®ÇÏ°Ô °¿ì¸¦ ¿¹ÃøÇÏ´Â °ÍÀ» È®ÀÎÇÒ ¼ö ÀÖ¾ú´Ù. À̸¦ ÅëÇØ ·¹ÀÌ´õ ÀÚ·á¿Í ÀÌ·ù¸ðµ¨À» ÅëÇØ »êÁ¤ÇÑ Ãʴܽ𣠿¹Ãø°¿ìÀÇ È°¿ë¼ºÀ» È®ÀÎÇÒ ¼ö ÀÖ¾ú´Ù. |
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| The frequency and size of typhoon and local severe rainfall are increasing due to the climate change and the damage also increasing from typhoon and severe rainfall. The flood forecasting and warning system to reduce the damage from typhoon and severe rainfall needs forecasted rainfall using radar data and short-term rainfall forecasting model. For this reason, this study examined the applicability of short-term rainfall forecast using translation model with weather radar data to point out that the utilization of flood forecasting in Korea. This study estimated the radar rainfall using Least-square fitting method and estimated rainfall was used as initial field of translation model. The translation model have verified accuracy of forecasted radar rainfall through the comparison of forecasted radar rainfall and observed rainfall quantitatively and qualitatively. Almost case studies showed that accuracy is over 0.6 within 4 hours leading time and mean of correlation coefficient is over 0.5 within 1 hours leading time in Kwanak and Jindo radar site. And, as the increasing the leading time, the forecast accuracy of precipitation decreased. The results of the calculated Mean Area Precipitation (MAP) showed forecast rainfall tend to be underestimated than observed rainfall but the correlation coefficient more than 0.5. Therefore it showed that translation model could be accurately predicted the rainfall relatively. The present results indicate that possibility of translation model application of Korea just within 2 hours leading forecasted rainfall. |
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| Ű¿öµå |
| ·¹ÀÌ´õ ÃßÁ¤°¿ì;Ãʴܽ𣠰¿ì¿¹Ãø;ÀÌ·ù¸ðµ¨;radar rainfall;short-term rainfall forecasting;translation model; |
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Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.43, no.8, 2010³â, pp.695-707
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO201025240675739)
¾ð¾î : Çѱ¹¾î |
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| ³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø |
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