In this study, an assessment of the land and surface water resources potential of the Becho Plain was conducted. Land suitability for irrigated agriculture was evaluated by considering the Food and Agriculture Organization (FAO) criteria. The land suitability parameters such as soil properties, slope, land use and land cover were used to identify the suitable irrigable land. The analytical hierarchy process was employed to obtain parameter weights, and later the weighted overlay analysis in the geographic information system was employed to obtain the overall suitability of land resources for irrigation. The surface water availability and amount were evaluated by using the calibrated Soil and Water Assessment Tool (SWAT) model. The water requirement of dominant crops was estimated following the FAO procedure and compared with the available water. Nearly 70% of the land area is identified as suitable for surface irrigation, while the remaining 30% of the land area is restricted for irrigation development. The water supply and demand analysis revealed that there is sufficient water available in the Becho Plain for irrigation development. The physically possible irrigation area and diversion sites were also identified. The Becho Plain has ample land and water resources for irrigation development.However, future developments shall also consider downstream water use to implement sustainable irrigation development.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.