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Estimating the High-Arsenic Domestic-Well Population in the Conterminous United States.
Ayotte, Joseph D; Medalie, Laura; Qi, Sharon L; Backer, Lorraine C; Nolan, Bernard T.
Afiliação
  • Ayotte JD; U.S. Geological Survey, New England Water Science Center, New Hampshire - Vermont Office, 331 Commerce Way, Pembroke, New Hampshire 03301, United States.
  • Medalie L; U.S. Geological Survey, New England Water Science Center, New Hampshire - Vermont Office, 87 State Street, Montpelier, Vermont 05602, United States.
  • Qi SL; U.S. Geological Survey, 1300 SE Cardinal Court Bldg., 10 Vancouver, Washington 98683, United States.
  • Backer LC; Centers for Disease Control and Prevention, National Center for Environmental Health, 4770 Buford Highway NE, Chamblee, Georgia 30341, United States.
  • Nolan BT; U.S. Geological Survey, National Water Quality Program, National Center 413, 12201 Sunrise Valley Drive, Reston, Virginia 20192, United States.
Environ Sci Technol ; 51(21): 12443-12454, 2017 Nov 07.
Article em En | MEDLINE | ID: mdl-29043784
ABSTRACT
Arsenic concentrations from 20 450 domestic wells in the U.S. were used to develop a logistic regression model of the probability of having arsenic >10 µg/L ("high arsenic"), which is presented at the county, state, and national scales. Variables representing geologic sources, geochemical, hydrologic, and physical features were among the significant predictors of high arsenic. For U.S. Census blocks, the mean probability of arsenic >10 µg/L was multiplied by the population using domestic wells to estimate the potential high-arsenic domestic-well population. Approximately 44.1 M people in the U.S. use water from domestic wells. The population in the conterminous U.S. using water from domestic wells with predicted arsenic concentration >10 µg/L is 2.1 M people (95% CI is 1.5 to 2.9 M). Although areas of the U.S. were underrepresented with arsenic data, predictive variables available in national data sets were used to estimate high arsenic in unsampled areas. Additionally, by predicting to all of the conterminous U.S., we identify areas of high and low potential exposure in areas of limited arsenic data. These areas may be viewed as potential areas to investigate further or to compare to more detailed local information. Linking predictive modeling to private well use information nationally, despite the uncertainty, is beneficial for broad screening of the population at risk from elevated arsenic in drinking water from private wells.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arsênio / Poluentes Químicos da Água / Poços de Água Tipo de estudo: Prognostic_studies / Risk_factors_studies País como assunto: America do norte Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arsênio / Poluentes Químicos da Água / Poços de Água Tipo de estudo: Prognostic_studies / Risk_factors_studies País como assunto: America do norte Idioma: En Ano de publicação: 2017 Tipo de documento: Article