A Web-Enabled Tool for Site Suitability Mapping for Managed Aquifer Recharge (MAR) Using Google Earth Engine (GEE) and Multi-Criteria Decision Analysis (MCDA)

Nitesh Patidar (), Basant Yadav, Sumit Kumar, Abhay Raj, Gopal Krishan, Surjeet Singh, Bhaskar Jyoti Deka, Sanghyun Jeong, Ashish Pandey, Yutaka Matsuno and R. D. Singh
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Nitesh Patidar: National Institute of Hydrology
Basant Yadav: Indian Institute of Technology Roorkee
Sumit Kumar: National Institute of Hydrology
Abhay Raj: Indian Institute of Technology Roorkee
Gopal Krishan: National Institute of Hydrology
Surjeet Singh: National Institute of Hydrology
Bhaskar Jyoti Deka: Indian Institute of Technology Roorkee
Sanghyun Jeong: Pusan National University
Ashish Pandey: Indian Institute of Technology Roorkee
Yutaka Matsuno: Kindai University
R. D. Singh: Indian Institute of Technology Roorkee

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2023, vol. 37, issue 14, No 11, 5619-5634

Abstract: Abstract Under possible risk of compound impacts of climate and anthropogenic changes, the Managed Aquifer Recharge (MAR) is envisaged to be an appropriate solution. Site suitability mapping is a crucial step in MAR project planning which requires various data, processing and GIS analysis. An automated web-based tool, named G-MCDA, is developed in this study for quick and efficient suitability mapping. G-MCDA integrates Google Earth Engine (GEE), Multi-criteria Decision Analysis (MCDA), GIS and web-based interface that allows automated data downloading, GIS data processing and suitability analysis using MCDA. G-MCDA has been tested in upper Ganga-Yamuna Doab region, India, for site suitability analysis. The application of G-MCDA shows that most of the area (82%) is under suitable category followed by very suitable (12%), and moderately suitable (5%). The suitable area is mostly flat agricultural lands with alluvium aquifer. A few patches of urban and sloping lands found to be moderately/low suitable for MAR.

Keywords: Managed aquifer recharge; MAR; Groundwater recharge; Ganga-Yamuna Doab; G-MCDA (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11269-023-03621-x

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