Authors
Vasant Wagh, Dipak Panaskar, Aniket Muley, Shrikant Mukate, Satyajit Gaikwad
Publication date
2018/9/1
Journal
Groundwater for Sustainable Development
Volume
7
Pages
436-445
Publisher
Elsevier
Description
An attempt has been made to develop Artificial Neural Network (ANN) model for prediction of nitrate concentration in groundwater of Kadava River basin, Nashik District, Maharashtra. The study area lies between longitude 73°55:74°15’E and latitude 19°55’:20°25’N. River Kadava is one of the tributary of Godavari which originates in Sahyadri hills and flows towards NW to SE direction. Forty (40) representative groundwater samples were collected from dug/bore wells and analyzed for major cations and anions during pre and post monsoon seasons of 2012. Physicochemical results confirm that, 67.50% and 75% of groundwater samples having NO3 concentration beyond the permissible limit of the BIS (>45 mg/L) in both the seasons. The spatiotemporal analysis inferred that, nitrate prone areas located in North and Central part of the study area, may be due to intense agriculture and overuse of nitrogen rich …
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