With the rapid increase in the volume of data on the aquatic environment, machine learning
has become an important tool for data analysis, classification, and prediction. Unlike …

Many technologies have been designed to monitor, evaluate, and improve surface water
quality, as high-quality water is essential for human activities including agriculture, livestock …

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 …

Abstract Machine learning algorithms have proven useful in the estimation, classification,
and prediction of water quality parameters. Similarly, indexical modeling has enhanced the …

Urban groundwater influences a wide range of processes in the natural world, including
climatic, geological, geomorphic, biogeochemical, ecotoxicological, hydrological, and …

The use of contaminated water for drinking and sanitary purposes can be detrimental to
human health. In this article, the Human Health Risk (HHRISK) code was applied, alongside …

Groundwater (GW) salinization refers to the natural or human-induced process of GW
acquiring a higher level of salt content. While geological factors or proximity to the ocean …

For the management and prevention of groundwater pollution in the basin, a comprehensive
evaluation of groundwater contamination hazards is required. The anthropogenic activities …

Groundwater resource problems are increasing development and planning challenges due
to climate change and overexploitation, necessitating assessments of their potential and …

Groundwater is a key source of freshwater for communities in many nations, including Sri
Lanka. However, with the current trends of population growth and climate change, stress on …