Identification of Potential Groundwater Recharge Zones Using Remote Sensing and Geographical Information System in Amaravathy Basin
Received Date: Sep 09, 2017 / Accepted Date: Oct 25, 2017 / Published Date: Oct 27, 2017
Abstract
Integration of remote sensing and geographical information system (GIS) has become a breakthrough in the field of groundwater studies. The demand for water is increasing exponentially each year showing an increase in dependence on groundwater sources as surface water sources are no longer satisfying the demand. The present study attempts to identify the potential recharge zones and locations for artificial recharge structures in Amaravathy Basin, Tamil Nadu. Weighted overlay analysis tool in Arc GIS application is used to identify the areas. The input data for this analysis are different layers like geology, geomorphology, soil, rainfall, land use-land cover, soil lineament density and drainage density. The result depicted the groundwater potential zones into four categories, viz., good, moderate, low and poor that and can be used for better planning and management of groundwater resources. Various groundwater recharge structures like boulder dams, check dams, percolation tanks, recharge pits etc., were suggested in appropriate locations of Amaravathy basin according to the derived results.
Keywords: Identification of recharge zones; Remote sensing; GIS; Amaravathy basin
Citation: Raviraj A, Kuruppath N, Kannan B (2017) Identification of Potential Groundwater Recharge Zones Using Remote Sensing and Geographical Information System in Amaravathy Basin. J Remote Sensing & GIS 6: 213. Doi: 10.4172/2469-4134.1000213
Copyright: © 2017 Raviraj A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Select your language of interest to view the total content in your interested language
Share This Article
Relevant Topics
Recommended Journals
Article Tools
Article Usage
- Total views: 4927
- [From(publication date): 0-2017 - Dec 13, 2019]
- Breakdown by view type
- HTML page views: 4305
- PDF downloads: 622