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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Nitesh Patidar & Basant Yadav & Sumit Kumar & Abhay Raj & Gopal Krishan & Surjeet Singh & Bhaskar Jyoti Deka & Sanghyun Jeong & Ashish Pandey & Yutaka Matsuno & R. D. Singh, 2023. "A Web-Enabled Tool for Site Suitability Mapping for Managed Aquifer Recharge (MAR) Using Google Earth Engine (GEE) and Multi-Criteria Decision Analysis (MCDA)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(14), pages 5619-5634, November.
    • Handle: RePEc:spr:waterr:v:37:y:2023:i:14:d:10.1007_s11269-023-03621-x
    DOI: 10.1007/s11269-023-03621-x
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    References listed on IDEAS

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    1. Rahul Kumar Jaiswal & Gunja Dhruw & Sukant Jain & Ravi V. Galkate & Anil Kumar Lohani & Akhilesh Verma, 2023. "Efficient Segmentation Algorithm for Estimation of Revised Reservoir Capacities in Google Earth Engine," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(10), pages 3795-3812, August.
    2. Annette Dietmaier & Thomas Baumann, 2023. "Assessing Sustainable Development of Deep Aquifers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(10), pages 3857-3874, August.
    3. Ghasemi, Golara & Noorollahi, Younes & Alavi, Hamed & Marzband, Mousa & Shahbazi, Mahmoud, 2019. "Theoretical and technical potential evaluation of solar power generation in Iran," Renewable Energy, Elsevier, vol. 138(C), pages 1250-1261.
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    Cited by:

    1. Shweta Kodihal & M. P. Akhtar, 2024. "Sustainable Groundwater Recharge Potential Zone Identification: An AHP-OWA Approach Integrating Future Rainfall and Land-Use Projections," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(3), pages 1079-1098, February.

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