Groundwater quality assessment and prediction (GQAP) is vital for protecting groundwater
resources. Traditional GQAP methods can not adequately capture the complex relationships …

This study employs fuzzy regression and fuzzy multivariate clustering techniques to analyze
arsenic-polluted water samples originating from acid rock drainage in waste rock dumps …

Determining the degree of high groundwater arsenic (As) and fluoride (F−) risk is crucial for
successful groundwater management and protection of public health, as elevated …

The large-scale quantification of groundwater recharge threshold conditions is a bottleneck
in the field of research, considering that groundwater recharge processes can be quite …

Groundwater is the most reliable source of freshwater for human well-being. Significant toxic
contamination in groundwater, particularly in the aquifers of the Ganges delta, has been a …

The cationic and anionic composition in groundwater can be better understood by
identifying the type of hydrogeochemical processes influencing groundwater chemistry. This …

The groundwater vulnerability assessment is known as a useful tool for predicting and
prevention of groundwater pollution. This study targets the DRASTIC, evidential belief …

Wireless sensor network (WSN) cluster‐based architecture is a system designed to control
and monitor specific events or phenomena remotely, and one of the important concerns that …

This article delves into the transformative role of Machine Learning (ML) in Environmental
Science and Engineering (ESE), illustrating its broad applications across diverse …

Groundwater is defined by the United States Geological Survey (USGS) as “water that exists
underground in saturated zones beneath the land surface”(USGS, 2022). This broad …