Keying Song
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Keying Song has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Dong Wang
Hubei Key Laboratory of Water Resources & Eco-Environmental Sciences, Changjiang River Scientific Research Institute, Wuhan 430010, China
1 shared publication - Huan Jing
Hubei Key Laboratory of Water Resources & Eco-Environmental Sciences, Changjiang River Scientific Research Institute, Wuhan 430010, China
1 shared publication - Jun He
General Institute of Water Resources and Hydropower Planning and Design, Ministry of Water Resources, Beijing 100120, China
1 shared publication - Liang Wang
College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang 443002, China
1 shared publication - Mingzhi Yang
Hubei Key Laboratory of Water Resources & Eco-Environmental Sciences, Changjiang River Scientific Research Institute, Wuhan 430010, China
1 shared publication - Rui Ma
General Institute of Water Resources and Hydropower Planning and Design, Ministry of Water Resources, Beijing 100120, China
1 shared publication
Latest Publications
- Open Access
- 3 February 2026
- Published by MDPI AG in Sustainability
- Vol. 18 (3) , 1541
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
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 (Ens), 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 Ens > 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 m3 with an unmet water demand of 3.462 billion m3 under 75% low-flow conditions and 58.746 billion m3 with 4.407 billion m3 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.
- 3 February 2026
- Published by MDPI AG in Sustainability
- Vol. 18 (3) , 1541
Open AccessMulti-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
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 (Ens), 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 Ens > 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 m3 with an unmet water demand of 3.462 billion m3 under 75% low-flow conditions and 58.746 billion m3 with 4.407 billion m3 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.