Estimation of nitrate concentration in groundwater of Kadava river basin-Nashik district, Maharashtra, India by using artificial neural network model

摘要: Monitoring of groundwater quality is an important tool to facilitating adequate information about water management in respective areas. Nitrate concentration aquifer systems crucial problem intensive agricultural regions Indian subcontinent. one the qualitative parameter and its enrichment leads human health implications, hence it entails precise periodic extent. In present study, artificial neural network (ANN) model with back propagation algorithm was implemented predict suitability Kadava River basin Nashik district. The data were collected from 40 dug/bore wells pre post monsoon season 2011. this context, significant correlated parameters viz., EC, TDS, TH, Ca, Mg, Na, Cl, CO3, HCO3 SO4 for monsoon; F, considered season. case study area, among samples, 52.50% 65% showed higher than permissible limit (45 mg/L) Bureau standards nitrate As a result, optimal architectures obtained through R software as 10-8-1 10-6-1 training are used testing set respectively. simulated outputs track measured predicted NO3 values coefficient determination (R 2), residual mean square error (RMSE) absolute relative (MARE) data. Accordingly, promising manage resources easier manner proposed ANN model.