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Analysis of Rainfall Spatial Correlation Structure Using Minutely Data  

Yoo, Chul-Sang (고려대학교 공과대학 건축사회환경공학과)
Park, Chang-Yeol (고려대학교 공과대학 건축사회환경공학과)
Kim, Kyoung-Jun (고려대학교 공과대학 건축사회환경공학과)
Jun, Kyung-Soo (성균관대학교 공과대학 사회환경시스템공학)
Publication Information
Journal of the Korean Society of Hazard Mitigation / v.8, no.6, 2008 , pp. 113-120 More about this Journal
Abstract
This study analyzed the spatial correlograms of minutely rainfall data with respect to various accumulation times. A bivariate mixed lognormal distribution was applied for rainfall modelling. A total of 26 minutely rainfall data sets from rain gauge stations in the central part of Korean peninsula were analyzed, also repeated for several storm types like Jang-Ma, typhoon and convective storms for their comparison. The accumulation times 1, 2, 3, 5, 10, 30 and 60 minutes were considered in this study. As results, it was found that the minutely rainfall data available was not good enough for estimating minutely rainfall intensity at ungaged locations. It seems more practical to use the hourly rainfall data with much higher rain gauge density, if proper methods for interpolation and data dis-aggregation are provided.
Keywords
Minutely rainfall data; Correlogram; Lognormal distribution;
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Times Cited By KSCI : 3  (Citation Analysis)
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