Estimating the High-Arsenic Domestic-Well Population in the Conterminous United States

被引:196
作者
Ayotte, Joseph D. [1 ]
Medalie, Laura [2 ]
Qi, Sharon L. [3 ]
Backer, Lorraine C. [4 ]
Nolan, Bernard T. [5 ]
机构
[1] US Geol Survey, New England Water Sci Ctr, New Hampshire Vermont Off, 331 Commerce Way, Pembroke, NH 03301 USA
[2] US Geol Survey, New England Water Sci Ctr, New Hampshire Vermont Off, 87 State St, Montpelier, VT 05602 USA
[3] US Geol Survey, 1300 SE Cardinal Court Bldg 10, Vancouver, WA 98683 USA
[4] Ctr Dis Control & Prevent, Natl Ctr Environm Hlth, 4770 Buford Highway NE, Chamblee, GA 30341 USA
[5] US Geol Survey, Natl Water Qual Program, Natl Ctr 413, 12201 Sunrise Valley Dr, Reston, VA 20192 USA
关键词
DRINKING-WATER WELLS; NEW-ENGLAND; SHALLOW GROUNDWATER; BLADDER-CANCER; CONTAMINATION; EXPOSURE; AQUIFERS; PATTERNS; QUALITY; NITRATE;
D O I
10.1021/acs.est.7b02881
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 mu g/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 mu g/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 mu g/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.
引用
收藏
页码:12443 / 12454
页数:12
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