DOI: 10.5194/hess-24-2769-2020
论文题名: A novel data-driven analytical framework on hierarchical water allocation integrated with blue and virtual water transfers
作者: Yao L. ; Xu Z. ; Wu H. ; Chen X.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期: 5 起始页码: 2769
结束页码: 2789
语种: 英语
Scopus关键词: Commerce
; Water management
; Water supply
; Water supply systems
; Cooperative strategy
; Data-driven analysis
; Economic uncertainty
; Equilibrium modeling
; Hydrological factors
; Market fluctuations
; Sustainable management
; Utilization efficiency
; Economic analysis
; analytical framework
; analytical hierarchy process
; economic analysis
; hydrological modeling
; resource allocation
; sustainable development
; uncertainty analysis
; water economics
; water supply
英文摘要: In this study a novel data-driven analytical framework is proposed for cooperative strategies that ensure the optimal allocation of blue and virtual water transfers under different hydrological and economic conditions. A Stackelberg-Nash-Harsanyi equilibrium model is also developed to deal with the hierarchical conflicts between the water affairs bureau and multiple water usage sectors and overcome problems associated with water scarcity and uneven distribution. It was found that cooperative blue and virtual water transfer strategies could save water and improve utilization efficiency without harming sector benefits or increasing the ecological stress. Data-driven analyses were employed to simulate the hydrological and economic parameters, such as available water, crop import price and water market price under various policies. By adjusting the hydrological and economic parameters, it was found that the optimal allocation and transfer strategies were more sensitive to hydrological factors than economic factors. It was also found that cooperative blue/virtual water transfers respond to market fluctuations. Overall, the proposed framework provides sustainable management for physical and virtual water supply systems under future hydrological and economic uncertainties. © 2020 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162681
Appears in Collections: 气候变化与战略
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作者单位: Yao, L., Business School, Sichuan University, Chengdu, 610064, China, State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, 610064, China; Xu, Z., Business School, Sichuan University, Chengdu, 610064, China; Wu, H., Institute of Water Policy, Lee Kuan Yew School of Public Policy, National University of Singapore, 469A Bukit Timah Road, Singapore, 259770, Singapore; Chen, X., Business School, Sichuan University, Chengdu, 610064, China
Recommended Citation:
Yao L.,Xu Z.,Wu H.,et al. A novel data-driven analytical framework on hierarchical water allocation integrated with blue and virtual water transfers[J]. Hydrology and Earth System Sciences,2020-01-01,24(5)