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http://dx.doi.org/10.3741/JKWRA.2020.53.4.259

Probable annual maximum of daily snowfall using improved probability distribution  

Park, Heeseong (Department of Land, Water and Environment Research, Korea Institute of Civil engineering and building Technology (KICT))
Chung, Gunhui (Department of Civil Engineering, Hoseo University)
Publication Information
Journal of Korea Water Resources Association / v.53, no.4, 2020 , pp. 259-271 More about this Journal
Abstract
In Korea, snow damage has happened in the region with little snowfalls in history. Also, accidental damage was caused by heavy snow leads and the public interest on heavy snow has been increased. Therefore, policy about the Natural Disaster Reduction Comprehensive Plan has been changed to include the mitigation measures of snow damage. However, since heavy snow damage was not frequent, studies on snowfall have not been conducted on different points. The characteristics of snow data commonly are not the same as the rainfall data. Some southern coastal areas in Korea are snowless during the year. Therefore, a joint probability distribution was suggested to analyze the snow data with many 0s in a previous research and fitness from the joint probability distribution was higher than the conventional methods. In this study, snow frequency analysis was implemented using the joint probability distribution and compared to the design codes. The results were compared to the design codes. The results of this study can be used as the basic data to develop a procedure for the snow frequency analysis in the future.
Keywords
Conditional probability; Design standard of snow loads; Frequency analysis; Joint probability distribution; Daily snowfall;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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