Methodology for assessment and forecast of drought severity based on the water balance analysis

Ock Jae Jang, Young Il Moon, Hyeon Tae Moon

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Drought is a natural disaster which is hard to recognize its onset and termination and to estimate the damage from the events which occurred in the past and are expected in near future. While the drought indices or their frequencies are widely applied to explain the severity of each event in the existing studies, decision-makers and stakeholders (the public) may have trouble in understanding the results due to the unfamiliar expression with statistical values. In this study, therefore, the methodology for assessment and forecast of drought severity based on the amount of water shortage from the water balance analysis was be placed at the center of the discussion. Firstly, in order to improve the existing analysis for drought assessment adopted in the National Water Resources Plan, alternative methods have been suggested to estimate the amount of water demand in each sub-basin using the land use map, and in an aspect of water supply, reservoirs and underground water are included in the simulation of MODSIM-DSS. The relationship between drought severity from the simulated water shortage in the study area and the values of SPEIs (SPEI 6 = estimated for 6 months - winter and spring season, SPEI 3 = estimated for 3 months - summer season) has been analyzed by the Decision tree. Due to this achievement, at the end of the spring season, every year the forecast for the drought severity will be available with the quantitatively estimated water shortage, and it will be helpful to activate the drought mitigation measures before the disaster occurs.

Original languageEnglish
Pages (from-to)241-254
Number of pages14
JournalJournal of Korea Water Resources Association
Issue number4
StatePublished - Apr 2021


  • Decision tree
  • Drought severity
  • Water balance analysis


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