Assessing the Effectiveness of Water-Saving Plans at the Farm and Basin Level Using Agrohydrological Modeling and Water-Accounting Approaches
Publication: Journal of Irrigation and Drainage Engineering
Volume 150, Issue 4
Abstract
Lake Urmia in the northwest of Iran is one of the largest vanishing lakes in the world. Several water-saving strategies have been implemented in the lake basin over the last decade, but they are not producing efficient results. This study employed a modified version of the Soil and Water Assessment Tool (SWAT), an agrohydrological model, to investigate the basin-scale effectiveness of some water-saving plans implemented at the farm scale. Data collected from 301 monitoring sites in the Lake Urmia basin were applied to the modified SWAT model. The modified SWAT model was used to estimate water balance components and was coupled with the Water Accounting Plus framework (WA+). Six discharge stations, crop yields, evapotranspiration, and groundwater level tables were calibrated and validated from 1987 to 2015 within the Zarrineh Rud Basin (ZRB), the most crucial subbasin in the Lake Urmia basin. Next, four individual water-saving plans—changes in irrigation management and developments in irrigation systems, changes in fertilizer type and regime, changes in the type and method of cultivation, and farm size and shape adjustments—as well as seven combinations of the water-saving plans, were applied to the agrohydrological model. The results reveal that assessing restoration plans for Lake Urmia without considering both farm and basin scales provides no reliable results. With changes in management and the development of irrigation systems, considerable differences in water withdrawal were observed. Developing irrigation systems leads to enhanced water consumption and evapotranspiration, which is expected to improve water yield and crop productivity. However, individual plans such as developments in irrigation systems cannot increase the inflow to Urmia Lake, and combined water-saving strategies can help restore the lake only to a limited extent, because the changes in inflow are not substantial.
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Data Availability Statement
All data, model’s outputs, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This research was supported by the Conservation of Iranian Wetlands Project (CIWP), Department of Environment. Special thanks are given to our colleagues in the Department of Environment and to the anonymous reviewers for their scientific advice and comments. The authors also acknowledge the entire “Local community participation in the restoration of lake Urmia through the establishment of sustainable agriculture and biodiversity conservation” project team for providing field data. Mohammad Reza Eini is funded by the National Science Centre (PRELUDIUM BIS-1 project—UMO-2019/35/O/ST10/04392), Polish National Agency for Academic Exchange (NAWA—PPN/STA/2021/1/00054), and Warsaw University of Life Sciences (SGGW’s Own Scholarship Fund for outstanding PhD Students and Employees, BWM/51/2022), Warsaw, Poland.
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Journal of Irrigation and Drainage Engineering
Volume 150 • Issue 4 • August 2024
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© 2024 American Society of Civil Engineers.
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Received: Dec 24, 2022
Accepted: Jan 25, 2024
Published online: Apr 26, 2024
Published in print: Aug 1, 2024
Discussion open until: Sep 26, 2024
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