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http://dx.doi.org/10.3741/JKWRA.2019.52.12.1001

Statistical frequency analysis of snow depth using mixed distributions  

Park, Kyung Woon (Department of Civil and Environmental System Engineering, Hanyang University)
Kim, Dongwook (Department of Civil and Environmental System Engineering, Hanyang University)
Shin, Ji Yae (Department of Civil and Environmental Engineering, Hanyang University)
Kim, Tae-Woong (Department of Civil and Environmental Engineering, Hanyang University)
Publication Information
Journal of Korea Water Resources Association / v.52, no.12, 2019 , pp. 1001-1009 More about this Journal
Abstract
Due to recent increasing heavy snow in Korea, the damage caused by heavy snow is also increasing. In Korea, there are many efforts including establishing disaster prevention measures to reduce the damage throughout the country, but it is difficult to establish the design criteria due to the characteristics of heavy snow. In this study, snowfall frequency analysis was performed to estimate design snow depths using observed snow depth data at Jinju, Changwon and Hapcheon stations. The conventional frequency analysis is sometime limted to apply to the snow depth data containing zero values which produce unrealistc estimates of distributon parameters. To overcome this problem, this study employed mixed distributions based on Lognormal, Generalized Pareto (GP), Generalized Extreme Value (GEV), Gamma, Gumbel and Weibull distribution. The results show that the mixed distributions produced smaller design snow depths than single distributions, which indicated that the mixed distributions are applicable and practical to estimate design snow depths.
Keywords
Frequency analysis; Mixed distribution; Maximum snowfall depth; Return period;
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Times Cited By KSCI : 4  (Citation Analysis)
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