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Comprehensive Wastewater Analysis and its Management in Some Part of Nagpur City, Maharashtra, India using SRTM DEM, GIS and Remote Sensing Approach


 
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1. Title Title of document Comprehensive Wastewater Analysis and its Management in Some Part of Nagpur City, Maharashtra, India using SRTM DEM, GIS and Remote Sensing Approach
 
2. Creator Author's name, affiliation, country Sushil S. Umbarkar; Department of Geology, RTM Nagpur University, Nagpur, Maharashtra, India
 
2. Creator Author's name, affiliation, country B. S. Manjare; Department of Geology, RTM Nagpur University, Nagpur, Maharashtra, India
 
2. Creator Author's name, affiliation, country I. M. Daberao; GSDA, Solapur, Maharashtra, India
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Wastewater; Change Detection; Urbanisation; Sustainable Development
 
4. Description Abstract

Remote Sensing (RS) and Geographical Information System (GIS) and SRTM DEM have been used by as an effective and powerful method. These information and visual analytical tools have been widely applied to improve monitoring and conservation of water resources and calculate changes in environmental conditions. This study comprises in two main parts. The first part covers the Nag River and Pioli River sub basins in Nagpur. These basins were analyzed in an Arc GIS 10.2 (Ver.) by using concerning spatial data and considering water pollution parameters, population density, capacity and number of treatment plants, and etc. The Nag river sub basin was selected as the study area based on population density, generated wastewater, distribution and type of wastewater treatment plants, population served, treatment capacity and treated wastewaters, which are gained as the study area as a result of GIS queries analysis, was inspected by using remote sensing technology. Hence, relationship between land use and land cover categories, watershed and water quality parameters were interpreted by using remote sensing and GIS techniques. The geospatial information from the remote sensing data provides more effective solution for sustainable environment development. In common consensus that the progress of spatial data analysis (DSA) is a key to sustainable land management with economic and urban development.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2014-11-20
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-241
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Remote Sensing and GIS; Volume 3 (Year 2014)
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions

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