Groundwater Quality Assessment, Fluoride Remediation, and Health Risk Analysis
This community investigates the chemical composition of groundwater and surface water to determine safety for human consumption and irrigation, with a specific focus on removing fluoride and assessing the associated health risks.
The work centers on evaluating water quality through hydrogeochemical analysis and multivariate statistical methods, often calculating quality indices to gauge suitability for drinking or irrigation. A dominant technical strand involves the removal of fluoride from water sources using adsorption techniques, including the development of specific materials like biochar and metal-oxide composites. Concurrently, researchers apply machine learning algorithms to predict water quality parameters and model the spatial distribution of contaminants. The health impact of exposure to fluoride, heavy metals, and other pollutants is a recurring theme, linking chemical data to human health risk assessments. Geographic case studies frequently focus on river basins and specific districts in India and China, where these water quality challenges are prevalent.
The largest share of the community's output is found in Fluorine research, accounting for 5.6% of all Fluorine research tracked, with 10,596 papers in this group. Nitrogen research follows with 2,982 papers, representing 0.5% of that element's total research, and Sodium research contributes 2,599 papers, or 0.9% of its total.
This community comprises 23,511 papers, published most frequently in Water, Antarctica A Keystone in a Changing World, and Environmental Science and Pollution Research.
Recent work continues to focus on advanced materials for fluoride adsorption, such as bimetallic metal-organic frameworks and zeolites, alongside the application of machine learning and artificial intelligence to predict groundwater quality indices and model health risks from nitrate pollution in agricultural areas.