Title of article :
Drought frequency analysis using cluster analysis and bivariate probability distribution
Author/Authors :
Jiyoung Yoo، نويسنده , , Hyun-Han Kwon، نويسنده , , Tae-Woong Kim، نويسنده , , Jaehyun Ahn، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Pages :
10
From page :
102
To page :
111
Abstract :
Analyses of drought frequency require long-term historical data to ensure reliable quantile estimates. Estimation of quantiles is difficult, because drought extremes are rare by definition, and the durations of extremes are often too short for reliable point frequency analysis. Regional frequency analysis provides a solution for these problems by using data from multiple sites, provided the sites are homogeneous, and this type of analysis yields appropriate estimates of quantiles at sites of interest. This study aims to develop a practical drought frequency analysis method based on a bivariate distribution by incorporating regional drought attributes that are associated with drought frequency (e.g., duration and severity). This study employed a kernel density function to describe joint probabilistic behavior of drought. Given the proposed approach, we estimated return periods according to the most severe drought events on record at each site, and ultimately assess the risks for occurrence of droughts exceeding the most severe droughts over the next 10, 50, 100, and 150 years.
Keywords :
Drought , frequency analysis , Bivariate distribution , Drought risk , Clustering analysis
Journal title :
Journal of Hydrology
Serial Year :
2012
Journal title :
Journal of Hydrology
Record number :
1096407
Link To Document :
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