Groundwater pollution has become a global challenge, posing significant threats to human
health and ecological environments. Machine learning, with its superior ability to capture …

Mega-delta aquifers face increasing salinization risks from overexploitation and erratic
climate change globally. This study integrates the GALDIT framework with machine learning …

Cholera infectious disease spread through water sanitation containing zooplankton carrying
Vibrio Cholerae is a significant global threat, underscoring the urgent need for effective …

Abstract Groundwater from the East African Rift System (EARS), for which there is limited
data available, is often characterized by high levels of dissolved fluoride and nitrate, which …

Groundwater resources in arid regions are crucial for water and food security and the
maintenance of ecosystem services but face significant challenges from overexploitation …

This study developed an ANN-based model to predict nitrate concentrations in drainage
waters using parameters that are simpler and more cost-effective to measure within the …

This study aims to assess performances of eleven Machine Learning (ML) methods in
predicting the Groundwater Quality Index (GWQI) for Yazd, an arid province in Iran. The ML …

Groundwater resources in arid regions are crucial for water and food security and the
maintenance of ecosystem services but face significant challenges from overexploitation …

In response to the constraints imposed by limited surface water access, coastal communities
increasingly understand the requirement to investigate and manage groundwater resources …