Groundwater is a crucial resource across agricultural, civil, and industrial sectors. The
prediction of groundwater pollution due to various chemical components is vital for planning …

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 …

This study reported the state of the art of different artificial intelligence (AI) methods for
groundwater quality (GWQ) modeling and introduce a brief description of common AI …

Excessive use of chemical fertilizers, especially nitrogen fertilizers to increase crop and
improper purification, and delivery of municipal and industrial wastewater are proposed as …

The aim of the study is to compare four recent gradient boosting algorithms named as
Gradient Boosting Machine (GBM), Categorical Boosting (CatBoost), Extreme Gradient …

Reference crop evapotranspiration (ETo) is an important component of the hydrological
cycle that is used for water resource planning, irrigation, and agricultural management, as …

With the rapid development of urbanization, the water pollution in Dianchi Lake presents the
trend of combining urban and agricultural non-point source pollution, and it is more difficult …

Mathematical modelling is an indispensable tool to support water resource recovery facility
(WRRF) operators and engineers with the ambition of creating a truly circular economy and …

Groundwater fluoride is posing a health risk to humans, and analyzing groundwater quality
is time-wasting and expensive. Statistical methods provide a valuable approach to study the …

Water quality is one of the main characteristics of a river system and prediction of water
quality is the key factor in water resource management. Different physical, biological and …