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

Sushil S. Umbarkar, B. S. Manjare, I. M. Daberao

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.


Keywords


Wastewater; Change Detection; Urbanisation; Sustainable Development

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*2016 Journal Impact Factor was established by dividing the number of articles published in 2014 and 2015 with the number of times they are cited in 2016 based on Google Scholar, Google Search and the Microsoft Academic Search. If ‘A’ is the total number of articles published in 2014 and 2015, and ‘B’ is the number of times these articles were cited in indexed publications during 2016 then, journal impact factor = A/B. To know More: (http://en.wikipedia.org/wiki/Impact_factor)