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Identification of groundwater recharge potential zones using AHP and Fuzzy Logic: A blockwise study of western Purulia district, India

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Water Security and Sustainability

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 115))

Abstract

Managing groundwater resources, particularly under data-scarce and dry regions, involves a lot of difficulties and problems which have driven the planners to apply remote sensing (RS) and geographic information system (GIS) based procedures. In the present study, groundwater recharge potential zones are delineated by integrating the Analytic Hierarchy Process (AHP), GIS, and RS methods in five blocks of Purulia district, India. At first, the adequate thematic layers of factors impacting the groundwater recharge potential, such as drainage density, geomorphology, soil types, land use, geology, rainfall, slope, and lineament density, are extracted from sources like satellite imagery and collateral data. The AHP method is utilized to estimate the weights of different layers for applying the hierarchical fuzzy logic to identify potential zones for groundwater recharge. It is found that about 186.35 km2 area has very good groundwater recharge potential (GRP), which is only 12.13% of the total study area. The area with good, average, and low GRP are about 359.08, 455.29, and 415.44 km2 respectively. Analyzing the blockwise distribution of potential zones, it is found that Baghmundi block having 21.9% and 27.76% of its area under very good and good GRP zones respectively, is most suitable for blockwise implementation of groundwater recharge sites.

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Author information

Authors and Affiliations

  1. Department of Civil Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India

    Sauvik Santra

  2. Department of Civil Engineering, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India

    Sujata Biswas

Authors
  1. Sauvik Santra
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  2. Sujata Biswas
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Corresponding author

Correspondence to Sujata Biswas .

Editor information

Editors and Affiliations

  1. Sikkim Manipal Institute of Technology, Sikkim, India

    Chandrashekhar Bhuiyan

  2. Friedrich Schiller University, Jena, Jena, Thüringen, Germany

    Wolfgang-Albert Flügel

  3. Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, India

    Sharad Kumar Jain

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Santra, S., Biswas, S. (2021). Identification of groundwater recharge potential zones using AHP and Fuzzy Logic: A blockwise study of western Purulia district, India. In: Bhuiyan, C., Flügel, WA., Jain, S.K. (eds) Water Security and Sustainability. Lecture Notes in Civil Engineering, vol 115. Springer, Singapore. https://doi.org/10.1007/978-981-15-9805-0_12

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  • DOI: https://doi.org/10.1007/978-981-15-9805-0_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-9804-3

  • Online ISBN: 978-981-15-9805-0

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