Data used to model and map arsenic concentration exceedances in private wells throughout the conterminous United States for human health studies

This data release contains data used to develop models and maps that estimate the probabilities of exceeding various thresholds of arsenic concentrations in private domestic wells throughout the conterminous United States. Three boosted regression tree (BRT) models were developed separately to estimate the probability of private well arsenic concentrations exceeding 1, 5, and 10 micrograms per liter (µg/L). A random forest (RF) model was developed to estimate the most probable arsenic concentration category (≤5, >5 to ≤10, or >10 µg/L). The models use arsenic concentration data from private domestic wells located throughout the conterminous United States and independent variables that are available as geospatial...

Categories: Data; Tags: Environmental Health, Geochemistry, Hydrology, USGS Science Data Catalog (SDC), United States, All tags... Water Quality, arsenic, drinking water use, environment, environmental health (human), geoscientificInformation, groundwater quality, health, machine learning models, private wells, Fewer tags