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 …

Waterlogging, soil salinization, and groundwater depletion in non-rechargeable aquifers are
among the causes endangering the sustainability of Siwa Oasis. The water resources …

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

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 …

Following an investigation into a number of papers published as part of the Urban
Groundwater Special Issue in Urban Climate, it became evident that the names of two co …

Abstract Sustainable Development Goals 6 and 9 emphasize the critical role of maintaining
high-quality groundwater for industrial processes. This study aims to contribute to these …

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

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