Mohammed Faruque Uddin
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Mohammed Faruque Uddin has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Abu Reza Md Towfiqul Islam
Department of Disaster Science and Management, Begum Rokeya University, Rangpur, Bangladesh
1 shared publication - Aweng Eh Rak
Faculty of Earth Sciences, Universiti Malaysia Kelantan, Malaysia
1 shared publication - Mohammed Abdus Salam
Department of Environmental Science and Disaster Management, Noakhali Science and Technology University, Noakhali, Bangladesh
1 shared publication - Mokbul Morshed Ahmad
Asian Institute of Technology
1 shared publication - Muhammad Anwar Iqbal
Institute of Water and Flood Management (IWFM), Bangladesh University of Engineering and Technology (BUET), Dhaka, 1000, Bangladesh
1 shared publication - Nur- E- Alam
Department of Environmental Science and Disaster Management, Noakhali Science and Technology University, Noakhali 3814, Bangladesh
1 shared publication
Latest Publications
- 25 September 2026
- Published by Springer Nature
- p. 1-3
Bourdieu, Pierre
- Open Access
- 7 May 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (9) , 5640
Sustainable Groundwater Potential Zoning with Integrating GIS, Remote Sensing, and AHP Model: A Case from North-Central Bangladesh
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 km2. 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.
- 7 May 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (9) , 5640
Open AccessSustainable Groundwater Potential Zoning with Integrating GIS, Remote Sensing, and AHP Model: A Case from North-Central Bangladesh
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 km2. 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.