Evaluating Distributed Policies for Conjunctive Surface Water-Groundwater Management in Large River Basins: Water Uses Versus Hydrological Impacts

Du, Erhu1; Tian, Yong1; Cai, Ximing2; Zheng, Yi1; Han, Feng1; Li, Xin3,4; Zhao, Mohan5; Yang, Yi6; Zheng, Chunmiao1

2022

10.1029/2021WR031352

WATER RESOURCES RESEARCH   影响因子和分区

0043-1397

1944-7973

It is imperative to understand the interconnectedness of water use and hydrological impacts for water policy design underlying varying hydrological conditions across space and over time. However, such analysis remains difficult, constrained by the lack of appropriate modeling tools that fully integrate water policies, water use, and hydrological processes with high spatiotemporal resolutions. To address this challenge, this study proposes a distributed policy design scheme featuring spatially variable and temporally dynamic policies for conjunctive surface water-groundwater management in large river basins. A fully integrated modeling framework is developed to tightly couple (a) an agent-based model for farmers' water use under distributed water policies and (b) a physically based hydrological model for surface water-groundwater processes. The modeling framework is applied to the Heihe River Basin to assess water use and hydrological impacts under distributed water policies. By using the distributed policy scheme to adjust a water policy (e.g., groundwater tax) across space and over time, we found that hydrological outcomes can be improved without adversely reducing agricultural water supply. For example, by shifting the implementation of a high groundwater tax from dry to wet years, a rise of the water table by 0.28 m (0.03-0.95 m across different irrigation districts) can be achieved while the total water supply is maintained at a similar level. Furthermore, hydrological externality effects among nearby districts can be explicitly identified and quantified based on assessments of spatially varying water policies. This study highlights the need for water policy design to consider spatiotemporal variations in the physical hydrological system.

hydrological impacts agent-based model HEIFLOW distributed water policy coupled human-natural systems

SCI ; EI ; SSCI

英语

第一 ; 通讯

National Natural Science Foundation of China[51909118,42071244,41861124003]

Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources

Environmental Sciences ; Limnology ; Water Resources

WOS:000751310200024

AMER GEOPHYSICAL UNION

20220511555274

Agriculture ; Computational methods ; Groundwater ; Rivers ; Simulation platform ; Water management ; Water supply ; Watersheds

Surface Water:444.1 ; Groundwater:444.2 ; Water Supply Systems:446.1 ; Computer Applications:723.5 ; Agricultural Equipment and Methods; Vegetation and Pest Control:821

ENVIRONMENT/ECOLOGY

Web of Science

1.Southern Univ Sci & Technol, State Environm Protect Key Lab Integrated Surface, Sch Environm Sci & Engn, Shenzhen, Peoples R China
2.Univ Illinois, Dept Civil & Environm Engn, Urbana, IL USA
3.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Natl Tibetan Plateau Data Ctr, Beijing, Peoples R China
4.Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China
5.Univ Toronto, Dept Comp Sci, Toronto, ON, Canada
6.McGill Univ, Dept Math & Stat, Montreal, PQ, Canada

Du, Erhu,Tian, Yong,Cai, Ximing,et al. Evaluating Distributed Policies for Conjunctive Surface Water-Groundwater Management in Large River Basins: Water Uses Versus Hydrological Impacts[J]. WATER RESOURCES RESEARCH,2022,58(1).

Du, Erhu.,Tian, Yong.,Cai, Ximing.,Zheng, Yi.,Han, Feng.,...&Zheng, Chunmiao.(2022).Evaluating Distributed Policies for Conjunctive Surface Water-Groundwater Management in Large River Basins: Water Uses Versus Hydrological Impacts.WATER RESOURCES RESEARCH,58(1).

Du, Erhu,et al."Evaluating Distributed Policies for Conjunctive Surface Water-Groundwater Management in Large River Basins: Water Uses Versus Hydrological Impacts".WATER RESOURCES RESEARCH 58.1(2022).