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A Study on Semi-distributed Hydrologic Drought Assessment Modifying SWSI

SWSI 가뭄지수를 보완한 준분포형 수문학적 가뭄평가 연구

  • Kwon Hyung-Joong (Dept. Rural Engrg., Kokkuk University) ;
  • Park Hyun-Jin (Water Resources Investigation & Planning Dept., Korea Water Resources Corporation) ;
  • Hong Dae-Oui (Water Resources Investigation & Planning Dept., Korea Water Resources Corporation) ;
  • Kim Seong-Joon (Dept. of Civil & Environ. System Engrg., Kokkuk University)
  • 권형중 (건국대학교 대학원 지역건설환경공학과) ;
  • 박현진 (한국수자원공사 조사설계팀) ;
  • 홍대의 (한국수자원공사 조사설계팀) ;
  • 김성준 (건국대학교 사회환경시스템공학과)
  • Published : 2006.08.01

Abstract

A hydrological drought index, MSWSI (Modified Surface Water Supply Index) was suggested based on SWSI. South Korea was divided into 32 regions considering the distribution of available gauge station of precipitation, dam storage, stream water level and natural groundwater level. The indices estimated in the regions represent a spatially distribution of drought. Monthly MSWSI was evaluated for the period of 1974 and 2001. The result was compared with PDSI and checked the applicability of the suggested index in our hydrologic drought situation.

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  2. Manipulating Large-Scale Qualitative Meteorological Information for Drought Outlook vol.140, pp.10, 2012, https://doi.org/10.1175/MWR-D-11-00146.1
  3. Projection and Analysis of Drought according to Future Climate and Hydrological Information in Korea vol.47, pp.1, 2014, https://doi.org/10.3741/JKWRA.2014.47.1.71
  4. Analyzing the drought event in 2015 through statistical drought frequency analysis vol.49, pp.3, 2016, https://doi.org/10.3741/JKWRA.2016.49.3.177
  5. Projection of Temporal Trends on Drought Characteristics using the Standardized Precipitation Evapotranspiration Index (SPEI) in South Korea vol.57, pp.1, 2015, https://doi.org/10.5389/KSAE.2015.57.1.037
  6. The probabilistic drought forecast based on ensemble using improvement of the modified surface water supply index vol.49, pp.10, 2016, https://doi.org/10.3741/JKWRA.2016.49.10.835
  7. Estimating Quantified Hydrological Input Value for Hydrological Drought vol.18, pp.5, 2018, https://doi.org/10.9798/KOSHAM.2018.18.5.11
  8. The probabilistic drought prediction using the improved surface water supply index in the Korean peninsula vol.50, pp.1, 2018, https://doi.org/10.2166/nh.2018.045