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• W2034700151 abstract "가뭄은 중요한 자연재해의 하나로서 수자원 관리 부분에서 매우 중요한 인자이다. 본 연구에서는 대한민국의 55개 기상청 관측소를 대상으로 SPI 지수에 따른 가뭄기간과 가뭄심도를 정의하고, 코풀라 이론을 이용하여 두 가뭄변수의 결합 확률 분포를 유도하였다. 또한 이를 이용하여 가뭄의 발생양상을 고찰하고 가뭄의 재현기간으로 제시하였으며, 대한민국을 대상으로 가뭄의 공간적 분포를 분석하였다. 연구에서 도출된 가뭄의 재현기간별 SPI 지수로부터 대한민국의 충청도의 공주 및 충주 인근, 강원도의 원주, 인제, 정선, 태백 등의 지역이 상대적으로 가뭄에 취약한 것으로 도출되었다. Drought is one of the severe natural disasters and it can profoundly affect our society and ecosystem. Also, it is a very important variable for water resources planning and management. Therefore, the drought is analyzed in this study to understand the drought distribution and trend. The Standard Precipitation Index (SPI) is estimated using precipitation data obtained from 55 rain gauge stations in South Korea and the SPI based drought variables such as drought duration and drought severity were defined. Drought occurrence and joint probabilistic analysis for SPI based drought variables were performed with run theory and copula functions. And then the return period and spatial distribution of droughts on the South Korea was estimated. As the results, we have shown that Gongju and Chungju in Chungcheong-do and Wonju, Inje, Jeongseon, Taebeak in Gangwon-do have vulnerability to droughts." @default.
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• W2034700151 date "2013-08-31" @default.
• W2034700151 modified "2023-10-01" @default.
• W2034700151 title "Return Period Estimation of Droughts Using Drought Variables from Standardized Precipitation Index" @default.
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• W2034700151 doi "https://doi.org/10.3741/jkwra.2013.46.8.795" @default.
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