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http://dx.doi.org/10.3741/JKWRA.2014.47.2.171

Estimation and Assessment of Bivariate Joint Drought Index based on Copula Functions  

So, Jae Min (Dept. of Civil and Environmental Engrg., Sejong Univ.)
Sohn, Kyung Hwan (Dept. of Civil and Environmental Engrg., Sejong Univ.)
Bae, Deg Hyo (Dept. of Civil and Environmental Engrg., Sejong Univ.)
Publication Information
Journal of Korea Water Resources Association / v.47, no.2, 2014 , pp. 171-182 More about this Journal
Abstract
The objective of this study is to evaluate the utilization of bivariate joint drought index in South Korea. In order to develop the bivariate joint drought index, in this study, Clayton copula was used to estimate the joint distribution function and the calibration method was employed for parameter estimation. Precipitation and soil moisture data were selected as input data of bivariate joint drought index for period of 1977~2012. The time series analysis, ROC (Receiver Operating Characteristic) analysis, spatial analysis were used to evaluate the bivariate joint drought index with SPI (Standardized Precipitation Index) and SSI (Standardized Soil moisture Index). As a result, SPI performed better for drought onset and SSI for drought demise. On the other hand the bivariate joint drought index captured both drought onset and demise very well. The ROC score of bivariate joint drought index was higher than that of SPI and SSI, and it also reflected the local drought situations. The bivariate joint drought index overcomes the limitations of existing drought indices and is useful for drought analysis.
Keywords
bivariate joint drought index; copula function; drought; SPI; SSI;
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Times Cited By KSCI : 7  (Citation Analysis)
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