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Identification of Groundwater Potential Zones (GWPZ) Using Weighted Overlay Model: A Case Study on a Semi-Arid District of West Bengal, India

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Environmental Management and Sustainability in India

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Abstract

Groundwater is one of the essential natural resources and prime source of freshwater, but declining and degradation of groundwater are crucial issues, especially in dry regions. The study has identified groundwater potential zone (GWPZ) using nine influencing proxy factors, i.e. geomorphology, geology or lithology, lineament density, drainage density, rainfall, soil texture, slope, land-use–land cover and groundwater fluctuation of Bankura District, which is characterized by semi-arid climatic condition. Using the analytical hierarchy process (AHP), the weight of individual factor has been assigned and the rank of subclasses of every factor has been given and they are integrated through the weighted overlay model in ArcGIS environment. It is observed that 35.20% area of the district belongs to high to very high, 32.55% area to medium and the remaining area (32.25%) to low-to-very low groundwater potentiality zones. By identifying potential level of groundwater, the required measures can be taken for sustainable management of the groundwater.

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References

  • Abdullahi, M. G., & Garba, I. (2015). Effect of rainfall on groundwater level fluctuation in Terengganu, Malaysia. Journal of Geophysics & Remote Sensing, 4(2), 142–146. https://doi.org/10.4172/jrsg.1000142

    Article  Google Scholar 

  • Andualem, T. G., & Demeke, G. G. (2019). Groundwater potential assessment using GIS and remote sensing: A case study of Guna tana landscape, upper blue Nile Basin, Ethiopia. Journal of Hydrology: Regional Studies, 24, 100610. https://doi.org/10.1016/j.ejrh.2019.100610

    Article  Google Scholar 

  • Arulbalaji, P., Padmalal, D., & Sreelash, K. (2019). GIS and AHP techniques based delineation of groundwater potential zones: A case study from southern Western Ghats, India. Scientific Reports, 9(1), 1–17. https://doi.org/10.1038/s41598-019-38567-x

    Article  CAS  Google Scholar 

  • Berhanu, K. G., & Hatiye, S. D. (2020). Identification of groundwater potential zones using proxy data: Case study of Megech watershed, Ethiopia. Journal of Hydrology: Regional Studies, 28, 100676. https://doi.org/10.1016/j.ejrh.2020.100676

    Article  Google Scholar 

  • Bhunia, G. S., Samanta, S., Pal, D. K., & Pal, B. (2012). Assessment of groundwater potential zone in Paschim Medinipur District, West Bengal–a meso-scale study using GIS and remote sensing approach. Assessment, 2(5), 41–59.

    Google Scholar 

  • Census of India. (2011). District census handbook. Primary Census, Abstract, Nadia, New Delhi. Government of India. Retrieved from censusindia.gov.in on May 25, 2019.

  • Chow, V. T., Maidment, D. R., & Mays, L. W. (1988). Applied hydrology. McGraw-Hill Book Co.

    Google Scholar 

  • Das, S. (2017). Delineation of groundwater potential zone in hard rock terrain in Gangajalghati block, Bankura district, India using remote sensing and GIS techniques. Modeling Earth Systems and Environment, 3(4), 1589–1599. https://doi.org/10.1007/s40808-017-0396-7

    Article  Google Scholar 

  • Das, B., Pal, S. C., Malik, S., & Chakraborty, R. (2019). Modelling groundwater potential zones of Puruliya district, West Bengal, India using remote sensing and GIS techniques. Geology, Ecology, and Landscapes, 3(3), 223–237. https://doi.org/10.1080/24749508.2018.1555740

    Article  Google Scholar 

  • Dey, S., Bhatt, D., Haq, S., & Mall, R. K. (2020). Potential impact of rainfall variability on groundwater resources: A case study in Uttar Pradesh. India. Arabian Journal of Geosciences, 13(3), 1–11. https://doi.org/10.1007/s12517-020-5083-8

    Article  Google Scholar 

  • District survey report. (2018). Bankura district, West Bengal, Prepared By RSP Green development and laboratories pvt. Ltd Howrah (pp. 1–222). West Bengal, India, 25th july, 2018.

    Google Scholar 

  • Ferozur, R. M., Jahan, C. S., Arefin, R., & Mazumder, Q. H. (2019). Groundwater potentiality study in drought prone barind tract, NW Bangladesh using remote sensing and GIS. Groundwater for Sustainable Development, 8, 205–215. https://doi.org/10.1016/j.gsd.2018.11.006

    Article  Google Scholar 

  • Ghosh, P. K., & Khatun, S. (2021). Delineation and classification of rural-urban fringe (RUF) using analytical hierarchy process (AHP): A case study on a class-I city of West Bengal, India. Geocarto International, just-accepted, 1–17. https://doi.org/10.1080/10106049.2021.1969448

    Article  Google Scholar 

  • Goitsemang, T., Das, D. M., Raul, S. K., Subudhi, C. R., & Panigrahi, B. (2020). Assessment of groundwater potential in the Kalahandi district of Odisha (India) using remote sensing, geographic information system and analytical hierarchy process. Journal of the Indian Society of Remote Sensing, 48(12), 1739–1753. https://doi.org/10.1007/s12524-020-01188-3.(0123456789().6789,-()

    Article  Google Scholar 

  • Gombos, M., Pavelkova, D., Kandra, B., & Tall, A. (2018). Impact of soil texture and position of groundwater level on evaporation from the soil root zone. In Water resources in Slovakia: Part I (pp. 167–181). Springer. DOI 10.1007/698_2017_181.

    Chapter  Google Scholar 

  • Jan, C. D., Chen, T. H., & Lo, W. C. (2007). Effect of rainfall intensity and distribution on groundwater level fluctuations. Journal of Hydrology, 332(3–4), 348–360. https://doi.org/10.1016/j.jhydrol.2006.07.010

    Article  Google Scholar 

  • Krishnamurthy, J., Mani, A., Jayaraman, V., & Manivel, M. (2000). Groundwater resources development in hard rock terrain-an approach using remote sensing and GIS techniques. International Journal of Applied Earth Observation and Geoinformation, 2(3–4), 204–215.

    Article  Google Scholar 

  • Kumar, P., Herath, S., Avtar, R., & Takeuchi, K. (2016). Mapping of groundwater potential zones in Killinochi area, Sri Lanka, using GIS and remote sensing techniques. Sustainable Water Resources Management, 2(4), 419–430. https://doi.org/10.1007/s40899-016-0072-5

    Article  Google Scholar 

  • Lerner, D. N., & Harris, B. (2009). The relationship between land use and groundwater resources and quality. Land Use Policy, 26, S265–S273. https://doi.org/10.1016/j.landusepol.2009.09.005

    Article  Google Scholar 

  • Magesh, N. S., Chandrasekar, N., & Soundranayagam, J. P. (2012). Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geoscience Frontiers, 3(2), 189–196. https://doi.org/10.1016/j.gsf.2011.10.007

    Article  Google Scholar 

  • Maity, D. K., & Mandal, S. (2019). Identification of groundwater potential zones of the Kumari river basin, India: An RS & GIS based semi-quantitative approach. Environment, Development and Sustainability, 21(2), 1013–1034.

    Article  Google Scholar 

  • Mallick, J., Singh, C. K., Al-Wadi, H., Ahmed, M., Rahman, A., Shashtri, S., & Mukherjee, S. (2015). Geospatial and geostatistical approach for groundwater potential zone delineation. Hydrological Processes, 29(3), 395–418.

    Article  Google Scholar 

  • Mandal, P., Saha, J., Bhattacharya, S., & Paul, S. (2021). Delineation of groundwater potential zones using the integration of geospatial and MIF techniques: A case study on Rarh region of West Bengal, India. Environmental Challenges, 5, 100396.

    Article  Google Scholar 

  • Marinoni, O. (2004). Implementation of the analytical hierarchy process with VBA in ArcGIS. Computers & Geosciences, 30(6), 637–646. https://doi.org/10.1016/j.cageo.2004.03.010

    Article  Google Scholar 

  • Murthy, K. S. R. (2000). Ground water potential in a semi-arid region of Andhra Pradesh-a geographical information system approach. International Journal of Remote Sensing, 21(9), 1867–1884.

    Article  Google Scholar 

  • Paul, S., & Das, C. S. (2021). An investigation of groundwater vulnerability in the north 24 parganas district using DRASTIC and hybrid-DRASTIC models: A case study. Environmental Advances, 5, 100093.

    Article  CAS  Google Scholar 

  • Pratap, K., Ravindran, K. V., & Prabakaran, B. (2000). Groundwater prospect zoning using remote sensing and geographical information system: A case study in Dala-Renukoot area, Sonbhadra district, Uttar Pradesh. Journal of the Indian Society of Remote Sensing, 28(4), 249–263.

    Article  Google Scholar 

  • Rahmati, O., Samani, A. N., Mahdavi, M., Pourghasemi, H. R., & Zeinivand, H. (2015). Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS. Arabian Journal of Geosciences, 8(9), 7059–7071. https://doi.org/10.1007/s12517-014-1668-4

    Article  Google Scholar 

  • Rajaveni, S. P., Brindha, K., & Elango, L. (2017). Geological and geomorphological controls on groundwater occurrence in a hard rock region. Applied Water Science, 7(3), 1377–1389. https://doi.org/10.1007/s13201-015-0327-6

    Article  Google Scholar 

  • Rao, B. V., & Briz-Kishore, B. H. (1991). A methodology for locating potential aquifers in a typical semi-arid region in India using resistivity and hydrogeologic parameters. Geoexploration, 27(1–2), 55–64.

    Google Scholar 

  • Roy, S., Hazra, S., Chanda, A., & Das, S. (2020). Assessment of groundwater potential zones using multi-criteria decision-making technique: A micro-level case study from red and lateritic zone (RLZ) of West Bengal, India. Sustainable Water Resources Management, 6(1), 1–14. https://doi.org/10.1007/s40899-020-00373-z

    Article  Google Scholar 

  • Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International journal of services sciences, 1(1), 83–98.

    Article  Google Scholar 

  • Saepuloh, A., Haeruddin, H., Heriawan, M. N., Kubo, T., Koike, K., & Malik, D. (2018). Application of lineament density extracted from dual orbit of synthetic aperture radar (SAR) images to detecting fluids paths in the Wayang Windu geothermal field (West Java, Indonesia). Geothermics, 72, 145–155. https://doi.org/10.1016/j.geothermics.2017.11.010

    Article  Google Scholar 

  • Sander, P., Chesley, M. M., & Minor, T. B. (1996). Groundwater assessment using remote sensing and GIS in a rural groundwater project in Ghana: Lessons learned. Hydrogeology Journal, 4(3), 40–49.

    Article  Google Scholar 

  • Siva, G., Nasir, N., & Selvakumar, R. (2017, July). Delineation of groundwater potential zone in Sengipatti for Thanjavur district using analytical hierarchy process. In IOP conference series: Earth and environmental science (Vol. 80, No. 1, p. 012063). IOP Publishing. https://doi.org/10.1088/1755-1315/80/1/012063.

  • Teeuw, R. M. (1995). Groundwater exploration using remote sensing and a low-cost geographical information system. Hydrogeology Journal, 3(3), 21–30.

    Article  Google Scholar 

  • Thapa, R., Gupta, S., Guin, S., & Kaur, H. (2017). Assessment of groundwater potential zones using multi-influencing factor (MIF) and GIS: A case study from Birbhum district, West Bengal. Applied Water Science, 7(7), 4117–4131. https://doi.org/10.1007/s13201-017-0571-z

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Geography, University of Kalyani, Kalyani, West Bengal, India

    Pijus Kanti Ghosh & Sahina Khatun

Authors
  1. Pijus Kanti Ghosh
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  2. Sahina Khatun
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Correspondence to Sahina Khatun .

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Editors and Affiliations

  1. Department of Geography, University of Kalyani, Kalyani, West Bengal, India

    Abhay Sankar Sahu

  2. Department of Geography, Vidyasagar University, Midnapore, West Bengal, India

    Nilanjana Das Chatterjee

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Ghosh, P.K., Khatun, S. (2023). Identification of Groundwater Potential Zones (GWPZ) Using Weighted Overlay Model: A Case Study on a Semi-Arid District of West Bengal, India. In: Sahu, A.S., Das Chatterjee, N. (eds) Environmental Management and Sustainability in India. Springer, Cham. https://doi.org/10.1007/978-3-031-31399-8_13

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