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Remote Sensing and GIS based groundwater potential mapping for sustainable water resource management of Lidder catchment in Kashmir Valley, India

Journal of the Geological Society of India volume 87, pages 716–726 (2016)Cite this article

Abstract

The valley of Kashmir is blessed with abundant water resources. However, high population growth and concentration of population at favorable locations have resulted in increased demand for water. The problem is further aggravated in Lidder catchment where unplanned tourism development has resulted in deterioration of water quality. Multi-Criteria Evaluation (MCE) approach is adopted using IRS P6 LISS III satellite data 2010, geological map published by Geological Survey of India, toposheets prepared by Survey of India, 1961 and field observation. Seven thematic layers (slope, lineament density, drainage density, soil, geology, geomorphology and land use land cover) are generated in GIS environment and weighted according to their relative relevance to groundwater occurrence. Knowledge-based weights and ranks are normalized, and a weighted linear combination technique is adopted to determine the groundwater potential (GWP). The catchment is divided into five zones of very high, high, medium, low and very low GWP. The results show that 50.22% of the total catchment area, which is uninhabited, has very low GWP. However, the densely populated southern part of the catchment has moderate to very high GWP. The study demonstrates that MCE using remote sensing and GIS technology could be efficiently employed as a very useful tool for the assessment and management of groundwater resources especially in regions where data is poor.

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Authors and Affiliations

  1. Department of Higher Education, Government of Jammu and Kashmir, Kashmir, India

    Mohammad Imran Malik

  2. Department of Geography, University of Kashmir, Hazratbal, Srinagar, 19 0006, India

    M. Sultan Bhat

  3. Department of Geology and Geophysics, University of Kashmir, Hazratbal, Srinagar, 19 0006, India

    Shahnaz Ahmad Najar

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  1. Mohammad Imran Malik
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  2. M. Sultan Bhat
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  3. Shahnaz Ahmad Najar
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Correspondence to Mohammad Imran Malik.

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Malik, M.I., Bhat, M.S. & Najar, S.A. Remote Sensing and GIS based groundwater potential mapping for sustainable water resource management of Lidder catchment in Kashmir Valley, India. J Geol Soc India 87, 716–726 (2016). https://doi.org/10.1007/s12594-016-0444-3

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  • DOI: https://doi.org/10.1007/s12594-016-0444-3

Keywords

  • Multi-criteria evaluation
  • Remote sensing
  • GIS
  • Lidder
  • Groundwater
  • Kashmir valley