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Çѱ¹¼öÀÚ¿øÇÐȸ / v.40, no.9, 2007³â, pp.697-707
¼öºÐÀ¯ÀÔ¹æÇâÀ» °í·ÁÇÑ °­¸ªÁö¿ª ÅÂdz ·ç»çÀÇ ¼öºÐÃÖ´ëÈ­ºñ »êÁ¤
( Estimation of the Moisture Maximizing Rate based on the Moisture Inflow Direction : A Case Study of Typhoon Rusa in Gangneung Region )
±è¹®Çö;Á¤ÀÏ¿ø;ÀÓÀº¼ø;±Ç¿øÅÂ; ±â»ó¿¬±¸¼Ò ±âÈÄ¿¬±¸½Ç;¼¼Á¾´ëÇб³ Åä¸ñȯ°æ°øÇаú;±â»ó¿¬±¸¼Ò ±âÈÄ¿¬±¸½Ç;±â»ó¿¬±¸¼Ò ±âÈÄ¿¬±¸½Ç;
 
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º» ¿¬±¸¿¡¼­´Â 2002³â °­¸ªÁö¿ª¿¡ Å« ÇÇÇØ¸¦ ÀÏÀ¸Å² ÅÂdz ·ç»ç(Rusa) È£¿ì »ç·Ê¿¡ ´ëÇÏ¿© PMP(Probable Maximum Precipitation)ÀÇ »êÁ¤ ¹× ÀüÀÌ¿¡¼­ ¹ß»ýÇÒ ¼ö ÀÖ´Â ¹®Á¦¿¡ ´ëÇØ ºÐ¼®ÇÏ¿´´Ù. PMP»êÁ¤À» À§Çؼ­´Â 2°¡Áö À̽½Á¡¿Âµµ »êÁ¤ÀÌ ¼±ÇàµÇ¾î¾ß ÇÑ´Ù. º» ¿¬±¸¿¡¼­´Â ±× Áß ´ëÇ¥ 12½Ã°£ Áö¼Ó À̽½Á¡¿Âµµ¸¦ Áö»óÀϱ⵵, ÁöÇ¥ dzÇâ, 850 hPa ¼öºÐ¼Ó, À¯¼±Àå »Ó¸¸ ¾Æ´Ï¶ó °­¸ª Áö¿ªÀÇ ÁöÇüÀû Ư¼º±îÁö °í·ÁÇÏ¿© ¼öºÐ À¯ÀÔ Áö¿ªÀ» °áÁ¤ÇÑ ÈÄ °è»êÇÏ¿´´Ù. ¶ÇÇÑ ÃÖ´ë 12½Ã°£ Áö¼Ó À̽½Á¡Àº °ú°Å 42³â°£(1961³â${sim}$2002³â)ÀÇ °­¸ªÁö¿ª À̽½Á¡ ¿Âµµ ÀڷḦ ÅëÇØ ¹æÀ翬±¸¼Ò¿¡¼­ Á¦°øÇÏ´Â FARD2002 Åë°èÇÁ·Î±×·¥À» ÀÌ¿ëÇÏ¿© °è»êÇÏ¿´´Ù. ÀÌ ÇÁ·Î±×·¥¿¡¼­ È®·üºÐÆ÷ÇüÀ¸·Î´Â Extreme Type I (Gumbel distribution)À» ¼±Á¤ÇÏ¿´°í ¸Å°³º¯¼ö ÃßÁ¤¹æ¹ýÀ¸·Î ¸ð¸àÆ®¹ýÀ» »ç¿ëÇÏ¿© À¯ÀǼöÁØ 5%¿¡¼­ ÀçÇö±â°£ 50³â ºóµµ ºÐ¼®À» ÅëÇØ À̽½Á¡ ¿Âµµ¸¦ °è»êÇÏ¿´À¸¸ç, °è»ê ¹æ¹ýÀ» 3°¡Áö ±¸ºÐÇÏ¿© ºÐ¼®ÇÏ¿´´Ù. ÀÌ °á°ú ±âÁ¸ÀÇ ¿¬±¸¿¡¼­´Â ´ëÇ¥ ¹× ÃÖ´ë 12½Ã°£ Áö¼Ó À̽½Á¡ÀÇ Â÷°¡ $2.98^{circ}C$¿´À¸³ª º» ¿¬±¸ °á°ú¿¡ µû¸£¸é $4.55^{circ}C$(I¹æ¹ý) ${sim}6.05^{circ}C$(III¹æ¹ý)·Î Å« Â÷À̸¦ º¸¿´´Ù. ¶ÇÇÑ ÀÌ¿Í °°Àº °úÁ¤µéÀ» ÅëÇØ ¼öºÐÃÖ´ëÈ­ºñ¸¦ »êÁ¤ÇÑ °á°ú ±âÁ¸¿¡ ºñÇØ $0.20{sim}0.40$ Á¤µµ Å©°Ô »êÁ¤µÇ¾úÀ¸¸ç, ÀÌ ¼öºÐÃÖ´ëÈ­ºñ¸¦ ±âÁ¸ ¹«¸íõ À¯¿ª(¸éÀû $3.76km^2$)ÀÇ È£¿ìÀüÀ̺ñ ¹× DAD(Depth-Area-Duration) ºÐ¼®°á°ú¸¦ ÀÌ¿ëÇÏ¿© ÀüÀÌÇÑ °á°ú¿¡¼­µµ $16{sim}31%$ Á¤µµ °­¼ö·®ÀÌ Å©°Ô °è»êµÇ´Â °ÍÀ¸·Î ³ªÅ¸³µ´Ù.Àü·ù º¯µ¿ Á¦¾î¿¡¼­ ³ëÀÌÁî Áö¼ö°¡ Áõ°¡Çϸé CTDIvol°ú DLP°¡ °¨¼ÒÇÏ¿´À¸³ª ³ëÀÌÁî´Â Áõ°¡ÇÏ¿´´Ù. »ý½ÄºÎÀ§¸¦ Æ÷ÇÔÇÏ´Â ÇÏÁö Á¤¸ÆÁ¶¿µ¼ú¿¡¼­ Z-Ãà ÀÚµ¿ °üÀü·ù º¯µ¿ Á¦¾î ¹æ¹ýÀÌ °íÁ¤ °üÀü·ù ±â¹ý¿¡ ºñÇØ ¼±·®À» °¨¼ÒÇÏ´Â È¿°ú°¡ ÀÖ¾ú´Ù.µÇ¾ú´Ù. ICRU 38ÀÇ ±Ç°í¿¡ µû¸¥ ¹æ±¤¼±·®Àº ICRU Ä¡·á°èȹ ¹× CTV Ä¡·á°èȹ¿¡¼­ °¢°¢ $90.1{pm}21.3%,;68.7{pm}26.6%$À̾ú°í(p=0.001), Á÷Àå¼±·®Àº $86.4{pm}18.3%,;76.9{pm}15.6%$À̾ú´Ù(p=0.08). ¹æ±¤ ¹× Á÷Àå¼±·®ÀÇ ÃÖ´ë Á¡¼±·® ¶ÇÇÑ ICRU Ä¡·á°èȹ°ú CTV°èȹ¿¡¼­ °¢°¢ $137.2{pm}50.1%$ vs $107.6{pm}47.9%$, (p=0.008), $101.1{pm}41.8%$ vs $86.9{pm}30.8%$ (p=0.045) ·Î¼­ CTV Ä¡·á°èȹ¿¡¼­ Á¤»óÁ¶Á÷¿¡ Á¶»çµÇ´Â ¼±·®ÀÌ ´õ Àû°Ô ³ªÅ¸³µ´Ù. ±×·¯³ª ÀÜ·ùÁ¾¾çÀÌ 4cm ÀÌ»óÀΠȯÀÚ¿¡¼­´Â CTV Ä¡·á°èȹ¿¡¼­ Á¤»óÁ¶Á÷ ¼±·®ÀÌ ±Ç°í ¼±·®º¸´Ù ÇöÀúÈ÷ ³ô°Ô ³ªÅ¸³µ´Ù. ¹æ±¤ ¹× Á÷ÀåÀÇ ¿ëÀû¼±·®¿¡¼­´Â Åõ¿©¼±·®ÀÇ 80% ÀÌ»óÀ» ¹Þ´Â Á÷Àå¿ëÀû¼±·®(V80rec)Àº ICRU Ä¡·á°èȹ ¹× CTV Ä¡·á°èȹ¿¡¼­ °¢°¢ $1.8{pm}2.4cm^3,;0.7{pm}1.0cm^3$(p=0.02), ¹æ±¤¿ëÀû¼±·®(V80bla)Àº $12.2{pm}8.9cm^3,;3.5{pm}4.1cm^3$·Î¼­ ¿ª½Ã CTV Ä¡·á°èȹ¿¡¼­ Àû°Ô Á¶»çµÇ¾ú´Ù(p=0.005). ±âÁ¸ÀÇ ICRU Ä¡·á°èȹÀº ÀÜ·ùÁ¾¾çÀÇ Å©±â°¡ ÀÛÀº °æ¿ì ºÒÇÊ¿äÇÏ°Ô Á¤»óÁ¶Á÷¿¡ ¸¹Àº ¼±·®ÀÌ Åõ¿©µÇ±â ¶§¹®¿¡ CT¸¦ ÀÌ¿ëÇÑ CTV Ä¡·á°èȹÀ» Àû¿ëÇÏ¿© Á¤»óÁ¶Á÷¿¡ ´ëÇÑ ÇÇÆøÀ» ÇöÀúÈ÷ ³·Ãß°í ÀÜ·ùÁ¾¾ç¿¡ ¸ñÇ¥ÇÑ ¼±·®À» Á¶»çÇÒ ¼ö
In this study, we estimated the PMP(Probable Maximum Precipitation) and its transition in case of the typhoon Rusa which happened the biggest damage of all typhoons in the Korea. Specially, we analysed the moisture maximizing rate under the consideration of meteorological condition based on the orographic property when it hits in Gangneung region. The PMP is calculated by the rate of the maximum persisting 12 hours 1000 hPa dew points and representative persisting 12 hours 1000 hPa dew point. The former is influenced by the moisture inflow regions. These regions are determined by the surface wind direction, 850 hPa moisture flux and streamline, which are the critically different aspects compared to that of previous study. The latter is calculated using statistics program (FARD2002) provided by NIDP(National Institute for Disaster Prevention). In this program, the dew point is calculated by reappearance period 50-year frequency analysis from 5% of the level of significant when probability distribution type is applied extreme type I (Gumbel distribution) and parameter estimation method is used the Moment method. So this study indicated for small basin$(3.76km^2)$ the difference the PMP through new method and through existing result of established storm transposition and DAD(Depth-Area-Duration). Consequently, the moisture maximizing rate is calculated in the moisture inflow regions determined by meteorological fields is higher $0.20{sim}0.40$ range than that of previous study. And the precipitation is increased $16{sim}31%$ when this rate is applied for calculation.
 
Ű¿öµå
¼öºÐÃÖ´ëÈ­ºñ;ÅÂdz ·ç»ç;ÁöÇüÀû Ư¼º;°­¸ª;PMP;moisture maximizing rate;Typhoon Rusa;Orographic characteristics;Gangneung;
 
Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.40, no.9, 2007³â, pp.697-707
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200734515981494)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
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