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Çѱ¹¼öÀÚ¿øÇÐȸ / v.35, no.1, 2002³â, pp.109-124
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½Ã°£°¼ö°è¿ÀÇ °¼ö¹ß»ý°úÁ¤¿¡ ´ëÇÑ Ãß°èÇÐÀû ¸ðÇü
( A Stochastic Model for Precipitation Occurrence Process of Hourly Precipitation Series ) |
| ÀÌÀçÁØ;ÀÌÁ¤½Ä; ±Ý¿À°ø°ú´ëÇб³ Åä¸ñ, ȯ°æ ¹× °ÇÃà°øÇкÎ;±Ý¿À°ø°ú´ëÇб³ Åä¸ñ, ȯ°æ ¹× °ÇÃà°øÇкÎ;
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| º» ¿¬±¸´Â °£Çæ ¼ö¹®»ç»óÀÎ ½Ã°£°¼ö°è¿ÀÇ ±¸Á¶Àû Ư¼ºÀ» °íÂûÇÏ¿© °¼ö¹ß»ýÀÇ ±ºÁý¼ºÀ» °í·ÁÇÑ °¼ö¹ß»ý°úÁ¤¿¡ ´ëÇÑ Ãß°èÇÐÀû ¸ðÀǹ߻ý ¸ðÇüÀ» °³¹ßÇÑ °ÍÀÌ´Ù. ¸ÕÀú °¼ö»ç»óÀÇ ¹ß»ýÆÐÅÏÀ» ±â¼úÇϱâ À§ÇØ Poisson ±ºÁý°úÁ¤À» »ç¿ëÇÏ¿´°í, ÀÌ °úÁ¤¿¡¼ ±ºÁý°£ÀÇ ½Ã°£°ú ±ºÁý³»ÀÇ »ç»ó ¼ö´Â Áö¼öºÐÆ÷·Î ±â¼úÇÏ¿´´Ù. µÑ°·Î »ç»óÀÇ Áö¼Ó±â°£°ú ±ºÁý³»¿¡¼ »ç»ó°£ÀÇ ½Ã°£Àº À½´ë¼öÈ¥ÇÕºÐÆ÷·Î ±â¼úÇÏ¿´´Ù. ¸¶Áö¸·À¸·Î ÀÌ»ó°ú °°Àº ½Ã°£°¼ö»ç»óÀÇ ¹ß»ýÆÐÅϰú »ç»ó±â°£³»ÀÇ °¼öÀÇ Á¾¼Ó±¸Á¶¸¦ ±¸¸íÇϱâ À§ÇØ ¼¿ïÀ» ´ë»óÀ¸·Î ÇÏ¿© ½ÇÀû°¼öÀڷḦ ºÐ¼®ÇÏ¿´´Ù. Monte Carlo ¸ðÀǰá°ú´Â ¸ðÇüÀÌ °¼ö¹ß»ýÀÇ °èÀýÀû ÆÐÅÏ, »ç»óƯ¼ºÀÇ ÁÖº¯ ¹× Á¶°ÇºÎ ºÐÆ÷¸¦ Àß ÀçÇöÇϰí ÀÖÀ½À» º¸¿©ÁÖ¾ú´Ù. |
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| This study is an effort to develop a stochastic model of precipitation series that preserves the pattern of occurrence of precipitation events throughout the year as well as several characteristics of the duration, amount, and intensity of precipitation events. In this study an event cluster model is used to describe the occurrence of precipitation events. A logarithmic negative mixture distribution is used to describe event duration and separation. The number of events within each cluster is also described by the Poisson cluster process. The duration of each event within a cluster and the separation of events within a single cluster are described by a logarithmic negative mixture distribution. The stochastic model for hourly precipitation occurrence process is fitted to historical precipitation data by estimating the model parameters. To allow for seasonal variations in the precipitation process, the model parameters are estimated separately for each month. an analysis of thirty-four years of historical and simulated hourly precipitation data for Seoul indicates that the stochastic model preserves many features of historical precipitation. The seasonal variations in number of precipitation events in each month for the historical and simulated data are also approximately identical. The marginal distributions for event characteristics for the historical and simulated data were similar. The conditional distributions for event characteristics for the historical and simulated data showed in general good agreement with each other. |
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| Ű¿öµå |
| ½Ã°£°¼ö°è¿;°¼ö¹ß»ý°úÁ¤;Poisson ±ºÁý°úÁ¤;À½´ë¼öÈ¥ÇÕºÐÆ÷;Á¶°ÇºÎºÐÆ÷;ÁÖº¯ºÐÆ÷;Marginal distribution;Hourly precipitation series;Precipitation occurrence process;Poisson cluster process;LNMD;Conditional distribution; |
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Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.35, no.1, 2002³â, pp.109-124
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200211920932875)
¾ð¾î : Çѱ¹¾î |
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| ³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø |
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