Land Use Classification and Watershed Analysis of Assi River, Varanasi, Uttar Pradesh, India
Journal Title: JOURNAL OF ADVANCED RESEARCH IN CONSTRUCTION AND URBAN ARCHITECTURE - Year 2017, Vol 2, Issue 3
Abstract
Watershed analysis is essential for planning development activities or improving the features of a terrain. It gives an idea for various features like - aspect, elevation, slope, drainage, urban distribution, etc. in the area. This study is done either by field survey or with the help of various software tools. Varanasi has been selected as one of the cities to be developed into a smart city. But being one of the oldest cities of the world, a proper sustain planning is really essential to make this a reality. In the present study, river Assi (a tributary of Ganges) , geographically located between - 25°16’59.0” N and 83°00’35.3” E, in Varanasi district of Uttar Pradesh (India), has been considered. Continuous dumping of waste, heavy encroachments and improper planning has reduced this river into nothing but just a drain. Being a tributary of Ganges, all of this waste further reaches Ganges water, depleting its water quality too. Software’s like ArcGIS,ERDAS Imagine 2016 and SWAT has been used for the study of the watershed of this Assi River. The overall classification accuracy from the Land Use map for the 3rd order watershed has been computed as 89.32% with Kappa Coefficient being 0.7751. A digitized map of the watershed is prepared to compute the percentage of various features like - settlement, water bodies, cultivated land, etc. in the area of the watershed. Through SWAT, watershed has been divided into various sub-watersheds, which enables to in identification of key drains of the river. This study will thus not only help in identifying urban pattern of the area, but will also help in identifying key aspects that are to be answered in order to remediate Assi back to its river form through proper planning of development activities around Assi River without affecting its ecology.
Authors and Affiliations
Mohit Kumar Srivastava
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