GIS-based multi-criteria approach for identification of rainwater harvesting zones in upper Betwa sub-basin of Madhya Pradesh, India

Akinchan Singhai (), Sandipan Das (), Ajaykumar K. Kadam (), J. P. Shukla (), D. S. Bundela () and Mahesh Kalashetty ()
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Akinchan Singhai: Gramin Vikas Trust
Sandipan Das: Symbiosis International University
Ajaykumar K. Kadam: Savitribai Phule Pune University
J. P. Shukla: CSIR
D. S. Bundela: ICAR
Mahesh Kalashetty: Symbiosis International University

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2019, vol. 21, issue 2, No 13, 777-797

Abstract: Abstract The emergent water paucity calls for more resourceful alternatives of water conservation. Rainwater harvesting (RWH) is one of the most capable systems to increase availability of water and agriculture output in the semi-arid regions. Nevertheless, the assessment of RWH potential and selection of appropriate RWH locations pose a great challenge for the water managers due to lacking biophysical data and infrastructure. The present study attempts to assess the RWH potential and identifying probable RWH locations in the Betwa sub-basin using geospatial and multiple criteria decision analysis techniques (MCDA). The spatial theme such as land use land cover was derived by supervised classification method and lineament and drainage by edge enhancement method from Landsat ETM + satellite image and other secondary published maps. The surface runoff was determined from modified Soil Conservation Service Curve Number (SCS-CN) method. These parameters were assigned suitable weights and integrated with a geospatial (GIS) technique to generate RWH site suitability map and to identify possible locations for RWH structures. SCS-CN technique displays that the water-body and built-up areas have high runoff potential, while forest area shows low runoff. The analysis indicates that 5.6% (87.7 km2) is suitable for percolation tanks, 3% (46.6 km2) suitable for farm ponds and for check dams (0.7 km2) of the study area. The study reveals combined methodology of geospatial and MCDA procedures in planning of rainwater harvesting at a regional scale.

Keywords: Rainwater harvesting; Remote sensing; GIS; Multi-criteria analysis (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s10668-017-0060-4

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