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2026 Vol.59, Issue 7S-1 Preview Page
Optimization of reservoir release criteria for environmental flow securing in the Boseong River basin using a hierarchical delayed hedging rule

보성강 유역의 환경생태유량 확보를 위한 방류기준 최적화-계층적 지연 헤징규칙 적용

Seoyeon Parka
,
Juyeon Jangb
,
Jieun Kimc
,
Seoyoung Shind
,
Nakyoung Kange
,
Hyeonmin Kangf
,
Nayeon Leeg
,
Seoyeon Jinh
,
Sojeong Kwoni*
,
Daeryong Parkj
박 서연a
,
장 주연b
,
김 지은c
,
신 서영d
,
강 나경e
,
강 현민f
,
이 나연g
,
진 서연h
,
권 소정i*
,
박 대룡j
aUndergraduate Researcher, Department of Civil and Environmental Engineering, Konkuk University, Seoul, Korea
bPost-Master’s Researcher, Department of Civil and Environmental Engineering, Konkuk University, Seoul, Korea
cMaster’s Student, Department of Civil and Environmental Engineering, Konkuk University, Seoul, Korea
dMaster’s Student, Department of Civil and Environmental Engineering, Konkuk University, Seoul, Korea
eUndergraduate Researcher, Department of Civil and Environmental Engineering, Konkuk University, Seoul, Korea
fUndergraduate Researcher, Department of Civil and Environmental Engineering, Konkuk University, Seoul, Korea
gUndergraduate Researcher, Department of Civil and Environmental Engineering, Konkuk University, Seoul, Korea
hUndergraduate Researcher, Department of Civil and Environmental Engineering, Konkuk University, Seoul, Korea
iPost-Bachelor’s Researcher, Department of Civil and Environmental Engineering, Konkuk University, Seoul, Korea
jProfessor, Department of Civil and Environmental Engineering, Konkuk University, Seoul, Korea
a건국대학교 사회환경공학부 학부연구생
b건국대학교 사회환경공학부 석사후연구원
c건국대학교 사회환경공학부 석사과정
d건국대학교 사회환경공학부 석사과정
e건국대학교 사회환경공학부 학부연구생
f건국대학교 사회환경공학부 학부연구생
g건국대학교 사회환경공학부 학부연구생
h건국대학교 사회환경공학부 학부연구생
i건국대학교 사회환경공학부 학사후연구원
j건국대학교 사회환경공학부 교수
*Corresponding Author
31 July 2026. pp. 815-825
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Abstract

This study applied a multi-objective reservoir operation optimization model based on Release Threshold Optimization-Hierarchical Deferred Hedging Rule (RTO-HDHR) to the parallel multi-reservoir system in the Boseong river basin. To improve the initial search stability of the high-dimensional optimization problem with monthly operating parameters, an optimization-based seed generation strategy was introduced. A simplified hedging rule was first optimized, and the derived Pareto solutions were expanded to construct the initial population for the final RTO-HDHR optimization. The final operation rules were derived using the Non-dominated Sorting Genetic Algorithm II (NSGA-II) for three reservoir operation units, considering downstream water demand and environmental flow requirements. The performance of the proposed rule was evaluated by comparing it with Standard Operating Policy (SOP) and optimized Hedging Rule (HR) in terms of demand deficit, environmental flow deficit, reliability, and storage ratio dynamics during the training and testing periods. The representative RTO-HDHR solution selected by minimizing the maximum environmental flow deficit eliminated demand deficits in both periods and achieved a demand reliability of 1.0. In addition, it reduced the maximum environmental flow deficit during the training period and maintained relatively high mean storage ratios during low-flow periods. These results indicate that the proposed RTO-HDHR can support balanced reservoir operation by securing water supply stability and reservoir storage while regulating the trade-off with downstream environmental flow supply.

Keywords
Multi-reservoir operation
RTO-HDHR
Hedging rule
Environmental flow
Multi-objective optimization

본 연구에서는 보성강 유역의 병렬 다중저수지 시스템을 대상으로 방류기준 최적화-계층적 지연 헤징규칙(Release Threshold Optimization-Hierarchical Deferred Hedging Rule, RTO-HDHR) 기반 다목적 저수지 운영 최적화 모형을 적용하였다. 월별 운영변수를 포함하는 고차원 최적화 문제의 초기 탐색 안정성을 향상시키기 위해 선행 최적화 기반 초기 개체군 생성 전략을 도입하였다. 먼저 단순화된 기본 헤징규칙을 최적화하여 예비 Pareto해를 도출하고, 이를 최종 RTO-HDHR 최적화의 초기 개체군으로 확장하였다. 최종 최적화는 보성천 유역 내 3개 저수지 운영단위를 대상으로 비지배 정렬 유전 알고리즘II (Non-dominated Sorting Genetic Algorithm II, NSGA-II)를 적용하여 수행하였으며, 하류 수요량과 환경생태유량 기준을 동시에 고려하였다. 도출된 운영규칙은 Standard Operationg Policy (SOP) 및 최적화된 Hedging Rule (HR)과 비교하여 수요 부족량, 환경생태유량 부족량, 신뢰도 및 평균 저수율 변화를 통해 평가하였다. 그 결과, 최대 환경생태유량 부족량 최소화 해를 적용한 RTO-HDHR은 모형 학습 기간과 모형 검증 기간 모두에서 수요 부족량을 제거하고 수요 신뢰도 1.0을 확보하였다. 또한 모형 학습 기간에서 최대 환경생태유량 부족량을 SOP 및 Optimized HR보다 감소시켰으며, 저유량 구간에서도 상대적으로 높은 평균 저수율을 유지하였다. 이러한 결과는 제안한 RTO-HDHR 운영규칙이 하류 용수공급 안정성과 저수지 운영 안정성을 확보하면서 환경생태유량 확보와의 상충관계를 조절할 수 있는 균형적 운영전략으로 활용될 수 있음을 보여준다.

키워드
다중저수지 운영
RTO-HDHR
헤징규칙
환경생태유량
다목적 최적화
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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 : 59
  • No :7
  • Pages :815-825
  • Received Date : 2026-06-01
  • Accepted Date : 2026-06-17
  • DOI :https://doi.org/10.3741/JKWRA.2026.59.S-1.815
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