Geospatial Approach for Integrated Command Area Management
Publication: Journal of Irrigation and Drainage Engineering
Volume 148, Issue 4
Abstract
Among the goals set by the United Nations 2030 agenda for sustainable development to address the economic component of sustainable development goal (SDG) target 6.4, More Crop Per Drop happens to be the universal motto for using water more efficiently in the agricultural sector. A fool-proof, transparent, integrated approach across different governing sectors is essential to optimally allocate the limited available resources amid the competing agricultural activities. This study has attempted to integrate a linear programming model on a geospatial platform to develop a spatial decision support and management system for integrated command area management. The study shows that the geospatial approach enhances the visualization of conventional optimization outputs under different irrigation efficiencies and fixed water allocation conditions. The geomatic model highlights water-stressed regions with 45% and optimal cropping patterns at 57% irrigation efficiency. The spatial optimization technique suggests geographic distribution of optimal cropping patterns to attain more agricultural productivity per unit of water.
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Data Availability Statement
Rainfall data, crop coefficients, evapotranspiration values, revenue survey maps, RTC records, irrigation network, and irrigation project details used during the study were provided by a third party. Direct requests for these materials may be made to the provider indicated in the Acknowledgments.
Acknowledgments
The authors are sincerely grateful for the project details shared by authorities from the Krishna Bhagya Jala Nigam Limited (KBJNL) Irrigation Department, rainfall data from the Water Resources Development Organization (WRDO) and the Karnataka State Natural Disaster Monitoring Centre (KSNDMC), and BHOOMI land records and revenue maps by the Revenue Department-Survey, Settlement, and Land Records, Government of Karnataka. Evapotranspiration and crop coefficients are collected from the India Meteorological Department (IMD) for agro-climate zone 2.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 148 • Issue 4 • April 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Jun 10, 2021
Accepted: Nov 17, 2021
Published online: Jan 27, 2022
Published in print: Apr 1, 2022
Discussion open until: Jun 27, 2022
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