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GIS and Remote Sensing-Based Multi-Criteria Analysis for Delineation of Groundwater Potential Zones: A Case Study for Industrial Zones in Bangladesh

Author

Listed:
  • Md. Mizanur Rahman

    (Farm Machinery and Post-Harvest Technology (FMPHT) Division, Bangladesh Rice Research Institute (BRRI), Gazipur 1701, Bangladesh)

  • Faisal AlThobiani

    (Faculty of Maritime Studies, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Shamsuddin Shahid

    (Department of Water and Environmental Engineering, School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia)

  • Salvatore Gonario Pasquale Virdis

    (Department of Information and Communication Technologies, School of Engineering and Technology, AIT Asian Institute of Technology, Bangkok 12120, Thailand)

  • Mohammad Kamruzzaman

    (Farm Machinery and Post-Harvest Technology (FMPHT) Division, Bangladesh Rice Research Institute (BRRI), Gazipur 1701, Bangladesh)

  • Hafijur Rahaman

    (Workshop Machinery and Maintenance (WMM) Division, Bangladesh Rice Research Institute (BRRI), Gazipur 1701, Bangladesh)

  • Md. Abdul Momin

    (Department of Agriculture, The University of Arkansas at Pine Bluff, 1200 N. University Drive, Pine Bluff, AR 71601, USA)

  • Md. Belal Hossain

    (Irrigation and Water Management Division, Bangladesh Rice Research Institute (BRRI), Gazipur 1701, Bangladesh)

  • Emad Ismat Ghandourah

    (Department of Nuclear Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

Abstract

Groundwater is a crucial natural resource that varies in quality and quantity across Bangladesh. Increased population and urbanization place enormous demands on groundwater supplies, reducing both their quality and quantity. This research aimed to delineate the groundwater potential zone in the Gazipur district, Bangladesh, by integrating eleven thematic layers. Data and information were gathered from Landsat 8, the digital elevation model, the google earth engine, and several ancillary sources. A multi-criterion decision-making (MCDM) based analytical hierarchy process (AHP) was used in a GIS platform to estimate the groundwater potential index. The potential index values were finally classified into five sub-groups: very low, low, moderate, high, and very high to generate a groundwater water potential zone ( GWPZ ) map. The results show that groundwater potential in about 0.002% (0.026 km 2 ) of the area is very low, 3.83% (63.18 km 2 ) of the area is low, 56.2% (927.05 km 2 ) of the area is medium, 39.25% (647.46 km 2 ) of the area is high, and the rest 0.72% (11.82 km 2 ) of the area is very high. The validation of GWPZ maps based on the groundwater level data at 20 observation wells showed an overall accuracy of 80%. In addition, the ROC curve showed 84% accuracy of GWPZ maps when validated with water inventory points across the study region. Overall, this study presents an easy and practical approach for identifying groundwater potential zones, which may help improve planning and sustainable groundwater resource management.

Suggested Citation

  • Md. Mizanur Rahman & Faisal AlThobiani & Shamsuddin Shahid & Salvatore Gonario Pasquale Virdis & Mohammad Kamruzzaman & Hafijur Rahaman & Md. Abdul Momin & Md. Belal Hossain & Emad Ismat Ghandourah, 2022. "GIS and Remote Sensing-Based Multi-Criteria Analysis for Delineation of Groundwater Potential Zones: A Case Study for Industrial Zones in Bangladesh," Sustainability, MDPI, vol. 14(11), pages 1-25, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6667-:d:827581
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    References listed on IDEAS

    as
    1. Saro Lee & Chang-Wook Lee, 2015. "Application of Decision-Tree Model to Groundwater Productivity-Potential Mapping," Sustainability, MDPI, vol. 7(10), pages 1-17, September.
    2. Zahid, A. & Ahmed, S. R. U., 2006. "Groundwater resources development in Bangladesh: contribution to irrigation for food security and constraints to sustainability," IWMI Books, Reports H039306, International Water Management Institute.
    3. Jaivime Evaristo & Scott Jasechko & Jeffrey J. McDonnell, 2015. "Global separation of plant transpiration from groundwater and streamflow," Nature, Nature, vol. 525(7567), pages 91-94, September.
    4. Huajie Duan & Zhengdong Deng & Feifan Deng & Daqing Wang, 2016. "Assessment of Groundwater Potential Based on Multicriteria Decision Making Model and Decision Tree Algorithms," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-11, December.
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