Author
Listed:
- Mingzhi Yang
(Hubei Key Laboratory of Water Resources & Eco-Environmental Sciences, Changjiang River Scientific Research Institute, Wuhan 430010, China
Research Center on the Yangtze River Economic Belt Protection and Development Strategy, Wuhan 430010, China)
- Xinyang Li
(School of Civil Engineering, Tianjin University, Tianjin 300354, China)
- Keying Song
(School of Water Resources and Hydropower Engineering, North China Electric Power University, Beijing 102206, China)
- Rui Ma
(General Institute of Water Resources and Hydropower Planning and Design, Ministry of Water Resources, Beijing 100120, China)
- Dong Wang
(Hubei Key Laboratory of Water Resources & Eco-Environmental Sciences, Changjiang River Scientific Research Institute, Wuhan 430010, China
Research Center on the Yangtze River Economic Belt Protection and Development Strategy, Wuhan 430010, China)
- Jun He
(General Institute of Water Resources and Hydropower Planning and Design, Ministry of Water Resources, Beijing 100120, China)
- Huan Jing
(Hubei Key Laboratory of Water Resources & Eco-Environmental Sciences, Changjiang River Scientific Research Institute, Wuhan 430010, China
Research Center on the Yangtze River Economic Belt Protection and Development Strategy, Wuhan 430010, China)
- Xinyi Zhang
(College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China)
- Liang Wang
(College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang 443002, China)
Abstract
Under intensifying climate change and anthropogenic pressures, extreme low-flow events increasingly jeopardize water security in the Yellow River water supply region. This study develops the Inter-basin Multi-source Water Joint Allocation and Interconnected Routes Regulation System (IMWA-IRRS) to optimize spatiotemporal allocation of multi-source water and simulate topological relationships in complex water networks. The model integrates system dynamics simulation with multi-objective optimization, validated through multi-criteria calibration using three performance indicators: correlation coefficient ( R ), Nash-Sutcliffe Efficiency ( E ns ), and percent bias ( PBIAS ). Application results demonstrated exceptional predictive performance in the study area: Monthly runoff simulations at four hydrological stations yielded R > 0.98 and E ns > 0.98 between simulated and observed data during both calibration and validation periods, with | PBIAS | < 10%; human-impacted runoff simulations at four hydrological stations achieved R > 0.8 between simulated and observed values, accompanied by PBIAS within ±10%; sectoral water consumption across the Yellow River Basin exhibited PBIAS < 5%, while source-specific water supply simulations maintained PBIAS generally within 10%. Comparative analysis revealed the IMWA-IRRS model achieves simulation performance comparable to the WEAP model for natural runoff, human-impacted runoff, water consumption, and water supply dynamics in the Yellow River Basin. The 2035 water allocation scheme for Yellow River water supply region projects total water supply of 59.691 billion m 3 with an unmet water demand of 3.462 billion m 3 under 75% low-flow conditions and 58.746 billion m 3 with 4.407 billion m 3 unmet demand under 95% low-flow conditions. Limited coverage of the South-to-North Water Diversion Project’s Middle and Eastern Routes constrains water supply security, necessitating future expansion of their service areas to leverage inter-route complementarity while implementing demand-side management strategies. Collectively, the IMWA-IRRS model provides a robust decision-support tool for refined water resources management in complex inter-basin diversion systems.
Suggested Citation
Mingzhi Yang & Xinyang Li & Keying Song & Rui Ma & Dong Wang & Jun He & Huan Jing & Xinyi Zhang & Liang Wang, 2026.
"Multi-Source Joint Water Allocation and Route Interconnection Under Low-Flow Conditions: An IMWA-IRRS Framework for the Yellow River Water Supply Region Within Water Network Layout,"
Sustainability, MDPI, vol. 18(3), pages 1-28, February.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:3:p:1541-:d:1856103
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