Water Resources Management

, Volume 32, Issue 5, pp 1811–1825 | Cite as

GIS-based Methodology for Identification of Suitable Locations for Rainwater Harvesting Structures

Article

Abstract

Presently, the water resources across the world are being continuously depleted. It is essential to find sustainable solutions for this shortage of water. Rainwater harvesting is one such promising solution to this problem. This paper presents a new GIS-based methodology to identify suitable locations for rainwater harvesting structures using only freely available imageries/remote sensing data and data from other sources. The methodology has been developed for the semi-arid environment of Khushkhera-Bhiwadi-Neemrana Investment Region (KBNIR) in Alwar district of Rajasthan. For identifying locations suitable for rainwater harvesting structures, the layers of surface elevation (ASTER-DEM), landuse/landcover, soil map, drainage map and depression map are used and further analyzed for their depression volume, and availability of surface runoff using Soil Conservation Service - Curve Number (SCS-CN) method. Based on the proposed criteria total seven locations were identified, out of which two locations are excellent; three locations are good, (if provisions of overflow structure are made for them) and two locations are not suitable for rain water harvesting. The total rainwater harvesting potential of the study area is 54.49 million cubic meters which is sufficient to meet the water requirements if harvested and conserved properly. This methodology is time-saving and cost-effective. It can minimize cost of earthwork and can be utilized for the planning of cost effective water resource management.

Keywords

Rainwater harvesting GIS Surface runoff DEM Suitable location 

Notes

Acknowledgements

This study has been conducted in the framework of the part of a PhD programme. Authors are thankful of Ministry of Human Resource Development (MHRD) and MNIT to provide scholarship to first author during research period.

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Civil EngineeringMalaviya National Institute of TechnologyJaipurIndia
  2. 2.National Institute of HydrologyRoorkeeIndia

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