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

Ock-Jae Jang; Young-Il Moon; Hyeon-Tae Moon

doi:10.3741/JKWRA.2021.54.4.241

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2021 Vol.54, Issue 4 Preview Page Next Page

Research Article

Methodology for assessment and forecast of drought severity based on the water balance analysis 물수지 분석에 기반한 가뭄 심각도 평가 및 예측 방법

30 April 2021. pp. 241-254

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Abstract

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.

Keywords

Drought severity

Water balance analysis

MODSIM-DSS

Decision tree

가뭄은 발생시점과 종료시점을 명확하게 알기 어려우며, 과거에 발생한 피해도, 향후 예상되는 피해도 추산하기 어렵다는 특성을 가지는 자연재해이다. 그렇기 때문에 기존 연구에서는 가뭄지수나 가뭄의 빈도를 사용하여 매번 가뭄의 심각도를 표현하고 있으나 이는 의사결정자나 지역 주민들이 익숙하지 않은 통계적인 수치로 표현되기 때문에 이해하기 어려운 측면이 있다. 따라서 본 연구에서는 물수지 분석 결과로부터 정량적으로 산출된 물부족량을 바탕으로 가뭄 심각도를 평가하고, 예측하는 방안에 대해 중심적으로 기술하였다. 먼저 가뭄의 심각도 평가를 위해 기존 수자원장기종합계획에서 적용하는 물수지 분석 방법에서 중권역의 수요량을 산출하는 방법을 토지이용도를 적용하여 개선하였으며, 공급량 측면에서는 농업용 저수지와 지하수를 MODSIM-DSS모형에 포함하여 모의하는 것을 제시하였다. 다음으로 대상 유역에 적용하여 산출된 중권역별 물부족량과 겨울철~봄철의 6개월 동안의 SPEI, 그리고 여름철 3개월 동안의 SPEI의 상관관계를 Decision tree 방법을 적용하여 분석하였다. 이를 통해 매년 봄철이 끝날 때 가뭄 심각도를 물부족량과 함께 수치로 예측함으로써 가뭄 재해 발생 전에 대응 활동을 계획하는데 도움이 될 것으로 판단된다.

키워드

가뭄 심각도

물수지 분석

MODSIM-DSS

의사결정나무

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Information

Publisher :KOREA WATER RESOURECES ASSOCIATION
Publisher(Ko) :한국수자원학회
Journal Title :Journal of Korea Water Resources Association
Journal Title(Ko) :한국수자원학회 논문집
Volume : 54
No :4
Pages :241-254
Received Date : 2020-12-22
Revised Date : 2021-03-01
Accepted Date : 2021-03-01
DOI :https://doi.org/10.3741/JKWRA.2021.54.4.241

Journal of Korea Water Resources Association ISSN:2799-8746(Print) 2799-8754(Online) 한국수자원학회 논문집

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