Groundwater Arsenic Distribution in India by Machine Learning Geospatial Modeling.

ABSTRACT: Groundwater is a critical resource in India for the supply of drinking water and for irrigation. Its usage is limited not only by its quantity but also by its quality. Among the most important contaminants of groundwater in India is arsenic, which naturally accumulates in some aquifers. In this study we create a random forest model with over 145,000 arsenic concentration measurements and over two dozen predictor variables of surface environmental parameters to produce hazard and exposure maps of the areas and populations potentially exposed to high arsenic concentrations (>10 µg/L) in groundwater. Statistical relationships found between the predictor variables and arsenic measurements are broadly consistent with major geochemical processes known to mobilize arsenic in aquifers. In addition

SUBMITTER: Podgorski J 

PROVIDER: S-EPMC7579008 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature