The present study was carried out using artificial neural network (ANN) model for predicting
the sodium hazardness, ie, sodium adsorption ratio (SAR), percent sodium (% Na) residual …

Several water quality indices are used to evaluate water suitability for potable use; however,
every index has strengths and weaknesses which limits the applicability and ease of use …

The present study has applied artificial neural network (ANN) and multiple linear regression
(MLR) techniques to predict the fitness of groundwater quality for drinking from Shivganga …

Present research work emphasizes the integrated approach of heavy metal pollution indices
coupled with multivariate statistical analysis to evaluate the health risk from groundwater of …

The present study is focused on seasonal variation in groundwater quality, hydrochemistry,
and associated human health risk in the Shivganga river basin, Western Maharashtra, India …

The primary goal of this study is to evaluate the groundwater quality and conduct a non-
carcinogenic risk assessment of nitrate contamination in an industrialized and high-density …

Groundwater is a major source for domestic and agricultural uses in Natham Taluk, Dindigul
district, Tamil Nadu, India. The intention of this study is to determine the quality of …

Groundwater is undoubtedly important for water supplies and eco-environment protection,
especially for arid and semi-arid regions. Analyzing the characteristics and evolution of …

The present study quantifies the pollution potential of the leachate and its effects on
surrounding groundwater in the vicinity of four nonengineered dump sites in the study …

Hydrogeochemistry and groundwater quality of the Kadava River Basin have been
performed by analyzing 40 groundwater samples for pre-and post-monsoon seasons of …