Priority Assessment of Agricultural Reservoirs for Flood Forecasting and Warning Systems Using the AHP-Entropy Method

Ra Na; Soo-Jin Kim; Donghyuk Joo; Gilchai Shin; Seung-Hwan Yoo; Young-Ki Kim

doi:10.5389/KSAE.2025.67.4.025

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2025 Vol.67, Issue 4 Preview Page Next Page

Priority Assessment of Agricultural Reservoirs for Flood Forecasting and Warning Systems Using the AHP-Entropy Method AHP-Entropy 기법을 활용한 홍수 예⋅경보 체계 구축 대상 농업용저수지 우선순위 평가

2025. pp. 25-34

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Abstract

This study aims to establish a scientific and objective framework for prioritizing agricultural reservoirs for flood warning system implementation in response to increasing flood risks from climate change and aging infrastructure. Out of 3,426 reservoirs nationwide, 1,211 were selected through filtering criteria including safety inspection reports, emergency action plans, reservoir specifications, and flood vulnerability grades. The evaluation framework combines the AHP (analytic hierarchy process) and Entropy weight method, using nine standardized indicators grouped into four categories: watershed characteristics, structural characteristics, vulnerability indicators, and downstream risk. Based on weighted composite scores, reservoirs were classified into four risk levels. The results identified 303 reservoirs in the most critical category, with high concentration in North Gyeongsang Province. Top-priority sites such as Hagok and Wangsin in Gyeongju matched recent disaster records, confirming the validity of the model. This AHP-Entropy-based vulnerability assessment provides a practical tool for phased implementation of flood warning systems for agricultural reservoirs.

Keywords

Agricultural reservoirs

flood warning system

vulnerability assessment

AHP-entropy

climate change

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Information

Publisher :The Korean Society of Agricultural Engineers
Publisher(Ko) :한국농공학회
Journal Title :Journal of Korean Society of Agricultural Engineers
Journal Title(Ko) :한국농공학회논문집
Volume : 67
No :4
Pages :25-34
Received Date : 2025-05-12
Revised Date : 2025-06-13
Accepted Date : 2025-06-13
DOI :https://doi.org/10.5389/KSAE.2025.67.4.025

Journal of Korean Society of Agricultural Engineers ISSN:1738-3692(Print) 2093-7709(Online) 한국농공학회논문집

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