An integrated approach for aquifer vulnerability mapping using GIS and rough sets: study from an alluvial aquifer in North India

  • Khan A
  • Khan H
  • Umar R
 et al. 
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A modified DRASTIC model in a geographic information system (GIS) environment coupled with an information-analytic technique called 'rough sets' is used to understand the aquifer vulnerability characteristics of a segment of the lower Kali watershed in western Uttar Pradesh, India. Since the region is a flat plain, topography (T) is removed as a potential control. Other parameters are the same as in DRASTIC, hence the new model is termed as DRASIC. The rough set technique is employed to provide insight into the relative vulnerabilities of different administrative units (blocks) within the study area. Using rough sets, three important factors are computed: strength, certainty and coverage. Strength indicates how the vulnerability characteristics vary in the entire area, certainty gives the relative fractions of low, medium and high vulnerability regions within a particular block, and coverage computes the percentage of a particular vulnerability state in each block. The purpose of the work is to demonstrate the utility of this integrated approach in classifying different administrative blocks in the study area according to their aquifer vulnerability characteristics. This approach is particularly useful for block-level planning and decision making for sustainable management of groundwater resources.

Author-supplied keywords

  • Fuzzy logic
  • Geographic information system
  • Groundwater vulnerability
  • India
  • Rough sets

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  • Arina Khan

  • Haris Hasan Khan

  • Rashid Umar

  • Muneeb Hasan Khan

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