[HTML][HTML] Harnessing machine learning for assessing climate change influences on groundwater resources: a comprehensive review
Climate change is a major concern for a range of environmental issues including water
resources especially groundwater. Recent studies have reported significant impact of …
resources especially groundwater. Recent studies have reported significant impact of …
[HTML][HTML] Assessment of drinking water quality and identifying pollution sources in a chromite mining region
A Mohammadpour, E Gharehchahi… - Journal of Hazardous …, 2024 - Elsevier
Water sources near mining regions are often susceptible to contamination from toxic
elements. This study employs machine learning (ML) techniques to evaluate drinking water …
elements. This study employs machine learning (ML) techniques to evaluate drinking water …
[HTML][HTML] Data-driven modelling for assessing trophic status in marine ecosystems using machine learning approaches
Assessing eutrophication in coastal and transitional waters is of utmost importance, yet
existing Trophic Status Index (TSI) models face challenges like multicollinearity, data …
existing Trophic Status Index (TSI) models face challenges like multicollinearity, data …
[HTML][HTML] Data-driven evolution of water quality models: An in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index …
Recently, there has been a significant advancement in the water quality index (WQI) models
utilizing data-driven approaches, especially those integrating machine learning and artificial …
utilizing data-driven approaches, especially those integrating machine learning and artificial …
Natural background level, source apportionment and health risk assessment of potentially toxic elements in multi-layer aquifers of arid area in Northwest China
R Yao, Y Zhang, Y Yan, X Wu, MG Uddin, D Wei… - Journal of Hazardous …, 2024 - Elsevier
Groundwater contaminated by potentially toxic elements has become an increasing global
concern for human health. Therefore, it is crucial to identify the sources and health risks of …
concern for human health. Therefore, it is crucial to identify the sources and health risks of …
Machine learning predictive insight of water pollution and groundwater quality in the Eastern Province of Saudi Arabia
This study presents an innovative approach for predicting water and groundwater quality
indices (WQI and GWQI) in the Eastern Province of Saudi Arabia, addressing critical …
indices (WQI and GWQI) in the Eastern Province of Saudi Arabia, addressing critical …
[HTML][HTML] Assessing water quality of an ecologically critical urban canal incorporating machine learning approaches
This study assessed water quality (WQ) in Tongi Canal, an ecologically critical and
economically important urban canal in Bangladesh. The researchers employed the Root …
economically important urban canal in Bangladesh. The researchers employed the Root …
[HTML][HTML] Assessment of human health risk from potentially toxic elements and predicting groundwater contamination using machine learning approaches
Abstract The Rooppur Nuclear Power Plant (RNPP) at Ishwardi, Bangladesh is planning to
go into operation within 2024 and therefore, adjacent areas of RNPP is gaining adequate …
go into operation within 2024 and therefore, adjacent areas of RNPP is gaining adequate …
Sensitivity analysis-driven machine learning approach for groundwater quality prediction: Insights from integrating ENTROPY and CRITIC methods
Precise estimation of water quality is essential for managing water pollution effectively and
improving water management practices. Although, numerous recent investigations have …
improving water management practices. Although, numerous recent investigations have …
An innovative approach for predicting groundwater TDS using optimized ensemble machine learning algorithms at two levels of modeling strategy
Groundwater salinization in coastal aquifers is a major socioeconomic challenge in Oman
and many other regions worldwide due to several anthropogenic activities and natural …
and many other regions worldwide due to several anthropogenic activities and natural …