Groundwater Arsenic Contamination and Human Health Risk Assessment
This community investigates the presence of arsenic and other heavy metals in groundwater and surface water, evaluating the resulting health risks for human populations.
The research focuses heavily on assessing arsenic exposure in drinking water, particularly in regions like India and China. Key methodologies include multivariate statistical analysis, water quality index calculations, and the application of machine learning models to predict contamination levels. The work also examines specific chemical species, such as inorganic arsenic and fluoride, alongside broader heavy metal pollution. Studies frequently address oxidative stress and toxicological effects linked to these contaminants, aiming to quantify the health risks associated with long-term exposure in river basins and aquifer systems.
The community is most heavily concentrated in arsenic research, accounting for 14.3% of all tracked arsenic studies, with 21,525 papers in this group. It also contributes significantly to research on iron (0.8% share) and fluorine (1.3% share).
The community comprises 37,415 papers, primarily published in Water, The Science of The Total Environment, and Environmental Earth Sciences.
Recent work continues to apply machine learning and geochemical modeling to groundwater quality assessment, with specific studies addressing heavy metal toxicity in aquaculture waters and nitrate-linked health risks in coastal areas.