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Identification of suitable sites for rainwater harvesting using fuzzy AHP and fuzzy gamma operator: a case study

Authors
  • Chowdhury, Mousumi1
  • Paul, Prabir Kumar1
  • 1 Indian Institute of Engineering Science and Technology, Shibpur, Howrah, West Bengal, 711103, India , Howrah (India)
Type
Published Article
Journal
Arabian Journal of Geosciences
Publisher
Springer-Verlag
Publication Date
Mar 22, 2021
Volume
14
Issue
7
Identifiers
DOI: 10.1007/s12517-021-06607-4
Source
Springer Nature
Keywords
License
Yellow

Abstract

Rainwater harvesting (RWH) is a cost-effective support for small-scale farming and to handle seasonal water demand where water resource is in need of sustainable development. Researchers have developed and applied various criteria and methods to find out suitable sites and techniques for rainwater harvesting (RWH). The main objective of the work is to use fuzzy AHP (analytic hierarchy process) for weight assignment of various criteria involved in selecting suitable RWH sites for Kandi subdivision of Murshidabad district of India. Remote sensing and field data has been used to prepare thematic layers. Runoff, slope, soil, landuse and landcover, drainage density, lineament density, distance from roads, and distance from rivers have been assessed to select suitable sites for harvesting structures. Fuzzy gamma operator has been performed to integrate all criteria to get suitable sites for rainwater harvesting. Suitable sites for different harvesting structure were also identified. Landuse and landcover, river and canal map, and road map were integrated with the overlaid map to find out sites suitable for ponds and pans, percolation tank, check dam, and nala bunds. A total of 51 sites for harvesting ponds, 42 sites for check dams, 35 sites for nala bunds, and 20 sites for percolation tanks have been selected as suitable for harvesting sites. Overall, the study presented that the multi-criteria analysis using fuzzy logic offers an integrated assessment for rainwater harvesting structure and site selection.

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