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2025 Vol.58, Issue 1 Preview Page

Research Article

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

용수 공급의 지역별 우선순위 선정을 위한 평가 방법론 개발: 용수 대비 피해 민감도를 중심으로

Hoyoung Chaa
,
Changhyun Junb
,
Do Guen Yooc
,
Seo Yun Leed
,
Seung Yeon Leee
,
Tae-Woong Kimf
,
Jongjin Baikg*
차 호영a
,
전 창현b
,
유 도근c
,
이 서윤d
,
이 승연e
,
김 태웅f
,
백 종진g*
aPh.D. Student, Department of Civil, Environmental and Architectural Engineering, Korea University, Seoul, Korea
bAssociate Professor, School of Civil, Environmental and Architectural Engineering, Korea University, Seoul, Korea
cAssociate Professor, Department of Civil Engineering, The University of Suwon, Suwon, Korea
dMaster Course, Department of Civil Engineering, The University of Suwon, Suwon, Korea
eMaster Course, Department of Civil Engineering, The University of Suwon, Suwon, Korea
fProfessor, Department of Civil and Environmental Engineering, Hanyang University, Ansan, Korea
gResearch Professor, Department of Civil and Environmental Engineering, Chung-Ang University, Seoul, Korea
a고려대학교 건축사회환경공학과 박사과정
b고려대학교 건축사회환경공학부 부교수
c수원대학교 토목공학과 부교수
d수원대학교 토목공학과 석사과정
e수원대학교 토목공학과 석사과정
f한양대학교(ERICA) 건설환경공학과 교수
g중앙대학교 사회기반시스템공학부 연구교수
*Corresponding Author
31 January 2025. pp. 37-51
PDF XML Citation
Abstract

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.

Keywords
Damage Sensitivity to Water usage
Relative Drought Damage
National Drought Information Statistics
Geum/Yeongsan/Sumjin River basin
Water supply priority

본 연구에서는 용수 대비 피해 민감도(Damage Sensitivity to Water usage, DSW)를 새롭게 정의하고, 가뭄 시 용수 공급의 지역별 우선순위를 결정하는 평가 방법론을 제안하였다. DSW는 용수 이용량에 따른 가뭄 피해의 변화를 수치로 표현한 값이며, DSW가 큰 지역은 용수 관리에 있어 우선적으로 고려해야 할 지역임을 의미한다. 연구 대상지역은 2018년부터 2021년까지 금/영산/섬진강 유역 내 시·군·구 단위의 행정구역으로 선정하였다. 본 연구에서는 DSW를 계산하기 위해 지도학습 기반의 회귀모형을 구축하고자, 3가지 주요 입력자료를 수집하였다. 기상학적 인자는 기상자료개방포털(https://data.kma.go.kr)의 기온, 강수량과 같은 지상관측자료, 지역적 특성 인자는 국가통계포털(https://kosis.kr)의 농업/생활/공업과 관련한 데이터로 구축하였다. 용수 이용량은 국가수자원관리종합정보시스템(http://www.wamis.go.kr)에서 제공하는 농업/생활/공업용수 이용량으로 활용하였다. 출력자료로는 가뭄 피해를 종합적으로 평가한 상대적 가뭄 피해 등급을 이용하였다. 이 등급은 국가가뭄정보통계집에서 조사한 가뭄 예·경보 횟수, 직접적 가뭄 피해정보, 가뭄으로 인한 용수 지원량을 바탕으로 지역별로 군집화한 결과이다. 이후, 입력자료와 출력자료는 지도학습 기반의 회귀모형을 학습시키는 데 활용되었다. 학습된 회귀모형은 농업/생활/공업용수 이용량이 50% 감소하거나 200% 증가한 조건에서의 지역별 상대적 가뭄 피해 등급을 산출하는데 적용되었다. DSW는 산출된 등급을 활용하여 계산하였고, 지역별로 순위를 매겼다. 그 결과, 농업용수에서는 전라남도 무주군, 생활 및 공업용수에서는 충청남도 계룡시와 전라남도 구례군이 대표적으로 DSW가 큰 지역으로 나타났다. 이를 통해, 농업/생활/공업용수에 따라 DSW가 큰 지역은 특정 용수의 관리가 필요한 지역으로 고려하였다. 본 연구에서 제안한 방법론은 향후 전국 단위에서 용수 공급 우선순위를 결정하는 지표로 활용될 수 있을 것으로 판단된다.

키워드
용수 대비 피해 민감도
상대적 가뭄 피해 등급
국가가뭄정보통계집
금/영산/섬진강 유역
용수 공급 우선순위
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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 : 58
  • No :1
  • Pages :37-51
  • Received Date : 2024-11-05
  • Revised Date : 2024-11-28
  • Accepted Date : 2024-11-29
  • DOI :https://doi.org/10.3741/JKWRA.2025.58.1.37
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