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

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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.

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Acknowledgements

The authors acknowledge the office of Chief Engineer (BODHI), Bhopal, for providing rainfall data. Authors are thankful to editor and reviewers for evaluating and improving the quality of this manuscript.

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Authors and Affiliations

  1. Gramin Vikas Trust, Noida, Uttar Pradesh, India

    Akinchan Singhai

  2. Symbiosis Institute of Geo-informatics (SIG), Symbiosis International University, Pune, India

    Sandipan Das & Mahesh Kalashetty

  3. Department of Environmental Science, Savitribai Phule Pune University, Pune, India

    Ajaykumar K. Kadam

  4. Advanced Material Process Research Institute, CSIR, Bhopal, India

    J. P. Shukla

  5. Central Soil Salinity Research Institute, ICAR, Karnal, Haryana, India

    D. S. Bundela

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  1. Akinchan Singhai
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  2. Sandipan Das
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  3. Ajaykumar K. Kadam
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  4. J. P. Shukla
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  5. D. S. Bundela
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  6. Mahesh Kalashetty
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Correspondence to Sandipan Das.

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Singhai, A., Das, S., Kadam, A.K. et al. GIS-based multi-criteria approach for identification of rainwater harvesting zones in upper Betwa sub-basin of Madhya Pradesh, India. Environ Dev Sustain 21, 777–797 (2019). https://doi.org/10.1007/s10668-017-0060-4

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