Hydroeconomic Optimization of Integrated Water and Salinity Management in an Arid Agricultural Region
Publication: Journal of Water Resources Planning and Management
Volume 150, Issue 10
Abstract
Water shortage and salinization are the main challenges confronted by irrigated agriculture in semiarid and arid regions. As one of the top-three largest irrigation districts in China, the Hetao Irrigation District faces pressing challenges to reduce irrigation water use and mitigate soil and groundwater salinization. Managing water and salinity requires understanding and analyzing not only the hydrologic and agronomic processes involved but the cropping and irrigation decision-making of farmers. With this aim, we build a hydroeconomic optimization model, which integrates the agrohydrological processes of water and salt balance in the crop root zone and underlying aquifer into economic optimization of water allocation and crop production. The positive mathematical programming method is used to calibrate the model such that it can replicate base-year observations. Model results highlight that a portfolio of interventions is necessary for alleviating soil and groundwater salinization and maintaining agricultural productivity and revenues; it is thus crucial to understand their long-term, cumulative effects for the sake of sustainable irrigated agricultural production. The model can assist decision-making for water and salinity management in the HID and offer useful insights for water and salinity management in irrigated agriculture of other arid regions in the world.
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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 study was supported by the National Key Research and Development Program of China (2020YFA0608603 and 2022YFC3202300) and the National Natural Science Foundation of China (51961125204). Tingju Zhu was partially supported by the US National Science Foundation (1804672) at the early stage of this study when he worked at the International Food Policy Research Institute. Jinxia Wang was partially supported by the National Natural Science Foundation of China (4171101461).
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Journal of Water Resources Planning and Management
Volume 150 • Issue 10 • October 2024
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© 2024 American Society of Civil Engineers.
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Received: Dec 26, 2022
Accepted: May 28, 2024
Published online: Aug 13, 2024
Published in print: Oct 1, 2024
Discussion open until: Jan 13, 2025
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