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Sustainable Groundwater Potential Zoning with Integrating GIS, Remote Sensing, and AHP Model: A Case from North-Central Bangladesh

Author

Listed:
  • Ujjayini Priya

    (Department of Environmental Science and Disaster Management, Noakhali Science and Technology University, Noakhali 3814, Bangladesh)

  • Muhammad Anwar Iqbal

    (Department of Environmental Science and Disaster Management, Noakhali Science and Technology University, Noakhali 3814, Bangladesh)

  • Mohammed Abdus Salam

    (Department of Environmental Science and Disaster Management, Noakhali Science and Technology University, Noakhali 3814, Bangladesh)

  • Md. Nur-E-Alam

    (Department of Environmental Science and Disaster Management, Noakhali Science and Technology University, Noakhali 3814, Bangladesh)

  • Mohammed Faruque Uddin

    (Department of Sociology, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh)

  • Abu Reza Md. Towfiqul Islam

    (Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh)

  • Showmitra Kumar Sarkar

    (Department of Urban and Regional Planning, Khulna University of Engineering and Technology, Khulna 9203, Bangladesh)

  • Saiful Islam Imran

    (Department of Environmental Science, Khulna University, Khulna 9208, Bangladesh)

  • Aweng Eh Rak

    (Faculty of Earth Science, University Malaysia Kelantan, Jeli Campus, Jeli 17600, Kelantan, Malaysia)

Abstract

Groundwater is one of the most valuable natural resources, and the most dependable source of fresh water. For sustainable groundwater management, the present study aimed to model groundwater potential zones in the north–central region of Bangladesh using GIS, remote sensing, and the analytical hierarchy process. The present study included eight thematic layers: lineament density, geomorphology, soil types, slope, land use/land cover, drainage density, elevation, and rainfall features to delineate a groundwater potential zone of the area. Integration of the eight thematic layers was performed through weighted overlay analysis, which assisted in delineating groundwater potential zones. This simple and systematic method successfully provides a satisfactory result concerning the delineation of groundwater potential zones. The study resulted in a groundwater potential zone map, which identifies about 11.51% of the study area as being under a very high groundwater potential zone, covering an area of 504.09 km 2 . The AHP analysis shows that the physiographical parameters, such as lineament density, slope, and drainage density, and meteorological factors such as annual rainfall, have greater influence over groundwater potentiality. The result obtained from the weighted overlay analysis was verified with actual well yield and groundwater depth data, which show a significant positive correlation. The outcome of the study will help in taking effective measures to ensure sustainable use and extraction of groundwater in this region.

Suggested Citation

  • Ujjayini Priya & Muhammad Anwar Iqbal & Mohammed Abdus Salam & Md. Nur-E-Alam & Mohammed Faruque Uddin & Abu Reza Md. Towfiqul Islam & Showmitra Kumar Sarkar & Saiful Islam Imran & Aweng Eh Rak, 2022. "Sustainable Groundwater Potential Zoning with Integrating GIS, Remote Sensing, and AHP Model: A Case from North-Central Bangladesh," Sustainability, MDPI, vol. 14(9), pages 1-24, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5640-:d:810428
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    References listed on IDEAS

    as
    1. Rajat Agarwal & P. Garg, 2016. "Remote Sensing and GIS Based Groundwater Potential & Recharge Zones Mapping Using Multi-Criteria Decision Making Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 243-260, January.
    2. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
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    5. Rajat Agarwal & P. K. Garg, 2016. "Remote Sensing and GIS Based Groundwater Potential & Recharge Zones Mapping Using Multi-Criteria Decision Making Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 243-260, January.
    6. Neera Shrestha Pradhan & Partha Jyoti Das & Nishikant Gupta & Arun Bhakta Shrestha, 2021. "Sustainable Management Options for Healthy Rivers in South Asia: The Case of Brahmaputra," Sustainability, MDPI, vol. 13(3), pages 1-23, January.
    7. Md. Foysal Hasan & Md. Nur-E-Alam & Mohammed Abdus Salam & Hafizur Rahman & Shujit Chandra Paul & Aweng Eh Rak & Balram Ambade & Abu Reza Md. Towfiqul Islam, 2021. "Health Risk and Water Quality Assessment of Surface Water in an Urban River of Bangladesh," Sustainability, MDPI, vol. 13(12), pages 1-22, June.
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    Cited by:

    1. Mohamed Abdekareem & Nasir Al-Arifi & Fathy Abdalla & Abbas Mansour & Farouk El-Baz, 2022. "Fusion of Remote Sensing Data Using GIS-Based AHP-Weighted Overlay Techniques for Groundwater Sustainability in Arid Regions," Sustainability, MDPI, vol. 14(13), pages 1-26, June.
    2. Neslihan Beden & Nazire Göksu Soydan-Oksal & Sema Arıman & Hayatullah Ahmadzai, 2023. "Delineation of a Groundwater Potential Zone Map for the Kızılırmak Delta by Using Remote-Sensing-Based Geospatial and Analytical Hierarchy Processes," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    3. Saad S. Alarifi & Mohamed Abdelkareem & Fathy Abdalla & Mislat Alotaibi, 2022. "Flash Flood Hazard Mapping Using Remote Sensing and GIS Techniques in Southwestern Saudi Arabia," Sustainability, MDPI, vol. 14(21), pages 1-21, October.

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