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

Md. Mizanur Rahman, Faisal AlThobiani, Shamsuddin Shahid, Salvatore Gonario Pasquale Virdis, Mohammad Kamruzzaman, Hafijur Rahaman, Md. Abdul Momin, Md. Belal Hossain and Emad Ismat Ghandourah
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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

Sustainability, 2022, vol. 14, issue 11, 1-25

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.

Keywords: AHP; remote sensing; GIS; groundwater potential zone; Bangladesh (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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