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Estimating Lithium Concentrations in Groundwater Used as Drinking Water for the Conterminous United States.
Lombard, Melissa A; Brown, Eric E; Saftner, Daniel M; Arienzo, Monica M; Fuller-Thomson, Esme; Brown, Craig J; Ayotte, Joseph D.
Afiliação
  • Lombard MA; New England Water Science Center, U.S. Geological Survey, 331 Commerce Way, Pembroke, New Hampshire 03275, United States.
  • Brown EE; Centre for Addiction and Mental Health, University of Toronto, 80 Workman Way, Toronto, Ontario, Canada M6J 1H4.
  • Saftner DM; Desert Research Institute, 2215 Raggio Parkway, Reno, Nevada 89512, United States.
  • Arienzo MM; Desert Research Institute, 2215 Raggio Parkway, Reno, Nevada 89512, United States.
  • Fuller-Thomson E; Institute for Life Course and Aging, University of Toronto, 246 Bloor Street West, Toronto, Ontario, Canada M5S 1V4.
  • Brown CJ; New England Water Science Center, U.S. Geological Survey, 339 Main Street, East Hartford, Connecticut 06108, United States.
  • Ayotte JD; New England Water Science Center, U.S. Geological Survey, 331 Commerce Way, Pembroke, New Hampshire 03275, United States.
Environ Sci Technol ; 58(2): 1255-1264, 2024 Jan 16.
Article em En | MEDLINE | ID: mdl-38164924
ABSTRACT
Lithium (Li) concentrations in drinking-water supplies are not regulated in the United States; however, Li is included in the 2022 U.S. Environmental Protection Agency list of unregulated contaminants for monitoring by public water systems. Li is used pharmaceutically to treat bipolar disorder, and studies have linked its occurrence in drinking water to human-health outcomes. An extreme gradient boosting model was developed to estimate geogenic Li in drinking-water supply wells throughout the conterminous United States. The model was trained using Li measurements from ∼13,500 wells and predictor variables related to its natural occurrence in groundwater. The model predicts the probability of Li in four concentration classifications, ≤4 µg/L, >4 to ≤10 µg/L, >10 to ≤30 µg/L, and >30 µg/L. Model predictions were evaluated using wells held out from model training and with new data and have an accuracy of 47-65%. Important predictor variables include average annual precipitation, well depth, and soil geochemistry. Model predictions were mapped at a spatial resolution of 1 km2 and represent well depths associated with public- and private-supply wells. This model was developed by hydrologists and public-health researchers to estimate Li exposure from drinking water and compare to national-scale human-health data for a better understanding of dose-response to low (<30 µg/L) concentrations of Li.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Água Potável / Água Subterrânea Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Environ Sci Technol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Água Potável / Água Subterrânea Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Environ Sci Technol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos