Estimating Lithium Concentrations in Groundwater Used as Drinking Water for the Conterminous United States

被引:8
作者
Lombard, Melissa A. [1 ]
Brown, Eric E. [2 ]
Saftner, Daniel M. [3 ]
Arienzo, Monica M. [3 ]
Fuller-Thomson, Esme [4 ]
Brown, Craig J. [5 ]
Ayotte, Joseph D. [1 ]
机构
[1] US Geol Survey, New England Water Sci Ctr, Pembroke, NH 03275 USA
[2] Univ Toronto, Ctr Addict & Mental Hlth, Toronto, ON M6J 1H4, Canada
[3] Desert Res Inst, Reno, NV 89512 USA
[4] Univ Toronto, Inst Life Course & Aging, Toronto, ON M5S 1V4, Canada
[5] US Geol Survey, New England Water Sci Ctr, East Hartford, CT 06108 USA
关键词
lithium; drinking water; groundwater; machine learning; extreme gradient boosting; SUICIDE MORTALITY; AQUIFER SYSTEM; ASSOCIATION; MANGANESE;
D O I
10.1021/acs.est.3c03315
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 similar to 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 mu g/L, >4 to <= 10 mu g/L, >10 to <= 30 mu g/L, and >30 mu g/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 km(2) 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 mu g/L) concentrations of Li.
引用
收藏
页码:1255 / 1264
页数:10
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