Water is a precious natural resource which is severely stressed in many parts of the world.
Semi-arid regions across the globe experience less rainfall and high evapotranspiration …

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 …

Forecasting the irrigation groundwater parameters helps plan irrigation water and crop, and
it is commonly expensive because it needs various parameters, mainly in developing …

The main objective of the present study is to perform risk assessment of groundwater
contaminated by nitrate (NO3−) and evaluate the suitability of groundwater for domestic …

Data-driven models are important to predict groundwater quality which is controlling human
health. The water quality index (WQI) has been developed based on the physicochemical …

Groundwater contamination through potentially harmful metals (PHMs) is an environmental
hazard in Pakistan with significant human health risk reports. The current research was …

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 …

Assessing irrigation water quality is one of the most critical challenges in improving water
resource management strategies. The objective of this work was to predict the irrigation …

The water quality represents the water's physical, chemical and biological properties and
depends on the environment, and anthropogenic influences. Recently, river water in …

Urban water quality index (WQI) is an important factor for assessment quality of groundwater
in the urban and rural area. In this research, the Weighted Arithmetic Water Quality Index …