Ahmad, Mobin (2016) Site Suitability Analysis Using Remote Sensing & GIS for Rain Water Harvesting. International Journal of Geology, Earth & Environmental Sciences , 6 (2). pp. 101-110.
PDF
Restricted to Registered users only Download (916Kb) | Request a copy |
Abstract
Water is the main resource to save the people’s life, without water we can’t live in earth. Rainwater harvesting is the process of intercepting, conveying and storing rainfall for future use. In the present time unavailable of ground water resource due to high population pressure, urbanization, high amount of ground water exploration and lack of ground water recharge the rain water harvesting is needed for fill the water deficit and save our life in future. In such circumstances, the importance of rain water harvesting for agriculture, domestic, livestock use and controlling flash floods in an economically and environmentally sustainable manner is getting attention all over the world as well as in India. The present study has been made for the site suitability analysis for rain water harvesting using remote sensing and GIS. Therefore, in this study spatial variations in landscape characteristics such as land cover, slope information, geological setup, soil and drainage characteristics are defined as important criteria for identifying suitable rainwater harvesting sites. Advancement in technology and Geographic Information System (GIS) integrated with remote sensing is a useful tool to identify different criteria. Landsat-7 ETM Satellite images used for Land Use/Land Cover (LULC), Cartosat-1A, Digital Elevation Model (DEM) used for slope, drainage density and hydrological analysis. Others maps used for the geological succession and soil characteristics. Using weighted overlay analyses in GIS environment using suitable weighted value in different class feature the final map were prepared. The study area defines four classes very high, high, low and very low. North, south-western and middle part of the study area found in suitable zone for rainwater harvesting in east Singbhum district.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Landsat-7 ETM, DEM, Topo sheets, Land Use / Land Cover (LULC), Reclassify, Weighted Overlay, Global Land Cover Facility (GLCF), Survey of India (SOI), Geological Survey of India (GSI) |
Subjects: | Envieronmental Management Group |
Divisions: | UNSPECIFIED |
Depositing User: | Mr. B. R. Panduranga |
Date Deposited: | 22 Aug 2017 10:07 |
Last Modified: | 22 Aug 2017 10:07 |
URI: | http://cimfr.csircentral.net/id/eprint/1822 |
Actions (login required)
View Item |