Development of evaluation methodology for prioritizing regional water supply: focusing on damage sensitivity to water usage

초록

This study introduces Damage Sensitivity to Water usage (DSW) and proposes a methodology to prioritize regional water supply during drought periods. The DSW quantifies the impact of water usage on changes in drought damage by region, with higher indicating areas that should be prioritized for water management. The study focused on administrative districts within the Geum, Yeongsan, and Seomjin river basins from 2018 to 2021, calculating DSW for each region. To build a machine learning based regression equation, three types of input data were collected: meteorological factors from the KMA Weather Data Service, regional factors related to agriculture, domestic, and industry from the Korean Statistical Information Service, and water usage data from the Water Resources Management Information System. The output data, Relative Drought Damage, was derived from drought warnings, direct damage, and water support during droughts, as recorded by the National Drought Information Statistics. The regression model was then trained, and drought damage was estimated for each region under scenarios of 50% reduction and 200% increase in water usage. DSW was calculated based on the differences in results, and regions were ranked accordingly. Muju-gun, Jeollanam-do was identified as highly sensitive in terms of agricultural water, while Gyeryong-si, Chungcheongnam-do and Gurye-gun, Jeollanam-do were most sensitive for domestic and industrial water. Based on these results, regions with high DSW were considered as areas requiring management of specific water usage, depending on agricultural, domestic, or industrial water. This methodology provides a tool for setting regional water supply priorities at the national level. © 2025 Korea Water Resources Association.

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