Details

Autor(en) / Beteiligte

• Wu, Bin
• Zheng, Yi
• Wu, Xin
• Tian, Yong
• Han, Feng
• Liu, Jie
• Zheng, Chunmiao

Titel

Optimizing water resources management in large river basins with integrated surface water-groundwater modeling: A surrogate-based approach

Ist Teil von

• Water resources research, 2015-04, Vol.51 (4), p.2153-2173

Ort / Verlag

Washington: Blackwell Publishing Ltd

Erscheinungsjahr

2015

Quelle

Wiley-Blackwell Journals

Beschreibungen/Notizen

• Integrated surface water‐groundwater modeling can provide a comprehensive and coherent understanding on basin‐scale water cycle, but its high computational cost has impeded its application in real‐world management. This study developed a new surrogate‐based approach, SOIM (Surrogate‐based Optimization for Integrated surface water‐groundwater Modeling), to incorporate the integrated modeling into water management optimization. Its applicability and advantages were evaluated and validated through an optimization research on the conjunctive use of surface water (SW) and groundwater (GW) for irrigation in a semiarid region in northwest China. GSFLOW, an integrated SW‐GW model developed by USGS, was employed. The study results show that, due to the strong and complicated SW‐GW interactions, basin‐scale water saving could be achieved by spatially optimizing the ratios of groundwater use in different irrigation districts. The water‐saving potential essentially stems from the reduction of nonbeneficial evapotranspiration from the aqueduct system and shallow groundwater, and its magnitude largely depends on both water management schemes and hydrological conditions. Important implications for water resources management in general include: first, environmental flow regulation needs to take into account interannual variation of hydrological conditions, as well as spatial complexity of SW‐GW interactions; and second, to resolve water use conflicts between upper stream and lower stream, a system approach is highly desired to reflect ecological, economic, and social concerns in water management decisions. Overall, this study highlights that surrogate‐based approaches like SOIM represent a promising solution to filling the gap between complex environmental modeling and real‐world management decision‐making. Key Points: An innovative surrogate modeling approach to water management optimization Physically based hydrological modeling and optimization benefit each other A solution to the gap between complex modeling and real‐world decision making