Medium- and Long-Term Planning of an Integrated Eco-Compensation System Considering Ecological Water Demand under Uncertainty: A Case Study of Daguhe Watershed in China
Publication: Journal of Water Resources Planning and Management
Volume 148, Issue 10
Abstract
This study developed an ecological-water-demand-based interval chance–constrained system eco-compensation model (EW-ICCEC) for eco-compensation planning and ecological restoration. Interval chance–constrained programming, the Soil and Water Assessment Tool, ensurance of ecological water demand, and inexact modeling are integrated in a general framework for eco-compensation. The EW-ICCEC model was applied to a case of China’s Daguhe watershed. Results show that the ecological-water-demand-based system eco-compensation mechanism can achieve maximum system benefits and minimum system loss in medium- and long-term eco-compensation planning. The contributions of the study include that (1) a systematic watershed ecological compensation model is established; and (2) the optimal mechanism and a scheme of the eco-compensation bill and land-use transformation are obtained for the planning of eco-compensation.
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Data Availability Statement
All data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This research was supported by the National Natural Science Foundation of China (51809145 and 42007412), the National Science and Technology Major Project of China (Grant No. 2018ZX07105-002), the Science and Technology Support Plan for Youth Innovation of Colleges in Shandong Province (DC2000000961), and the General Program of Natural Science Foundation of Hebei Province (D2019402235). The authors are grateful to the editors and the anonymous reviewers for their insightful comments and suggestions.
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Journal of Water Resources Planning and Management
Volume 148 • Issue 10 • October 2022
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© 2022 American Society of Civil Engineers.
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Received: Sep 18, 2021
Accepted: May 22, 2022
Published online: Jul 19, 2022
Published in print: Oct 1, 2022
Discussion open until: Dec 19, 2022
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