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http://dx.doi.org/10.12652/Ksce.2010.30.6B.599

Drought Frequency Analysis Using Cluster Analysis and Bivariate Probability Distribution  

Yoo, Ji Young (한양대학교 대학원 건설환경공학과)
Kim, Tae-Woong (한양대학교 건설환경공학과)
Kim, Sangdan (부경대학교 환경시스템공학부)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.30, no.6B, 2010 , pp. 599-606 More about this Journal
Abstract
Due to the short period of precipitation data in Korea, the uncertainty of drought analysis is inevitable from a point frequency analysis. So it is desired to introduce a regional drought frequency analysis. This study first extracted drought characteristics from 3-month and 12-month moving average rainfalls which represent short and long-term droughts, respectively. Then, the homogeneous regions were distinguished by performing a principal component analysis and cluster analysis. The Korean peninsula was classified into five regions based on drought characteristics. Finally, this study applied the bivariate frequency analysis using a kernel density function to quantify the regionalized drought characteristics. Based on the bivariate drought frequency curves, the drought severities of five regions were evaluated for durations of 2, 5, 10, and 20 months, and return periods of 5, 10, 20, 50, and 100 years. As a result, the largest severity of drought was occurred in the Lower Geum River basin, in the Youngsan River basin, and over in the southern coast of Korea.
Keywords
drought frequency analysis; cluster analysis; regional drought characteristics;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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