Fluoride Removal, Groundwater Quality, and Health Risk Assessment
This community focuses on evaluating the safety of drinking water and groundwater, specifically targeting the removal of fluoride and heavy metals to mitigate associated human health risks.
The work centers on the chemical and statistical assessment of water sources, with a heavy emphasis on fluoride contamination and remediation. Recurring methods include adsorption techniques for fluoride removal, multivariate statistical analysis for source identification, and the development of water quality indices. A significant portion of the research applies machine learning algorithms to predict water quality and model health risks from heavy metal exposure. The applications are primarily practical, involving the treatment of drinking water, the evaluation of irrigation suitability, and the assessment of environmental hazards in river basins and aquifers.
The largest share of the community's output is found in Fluorine research, accounting for 6.6% of all Fluorine research tracked, and 6,458 papers here.
The community comprises 16,190 papers, published most frequently in Water, Analytical Chemistry, and Environmental Science and Pollution Research.
Recent work continues to focus on advanced adsorbents for fluoride removal, such as bimetallic materials and nanohybrids, alongside the application of deep learning architectures for automated water quality prediction and the assessment of heavy metal toxicity in specific regional aquifers.