Predictions of Arsenic in Domestic Well Water Sourced from Alluvial Aquifers of the Western Great Basin, USA

被引:7
|
作者
Saftner, Daniel M. [3 ]
Bacon, Steven N. [3 ]
Arienzo, Monica M. [3 ]
Robtoy, Erika [3 ]
Schlauch, Karen [1 ]
Neveux, Iva [1 ]
Grzymski, Joseph J. [1 ]
Carbone, Michele [2 ]
机构
[1] Desert Res Inst, Ctr Genom Med, Reno, NV 89512 USA
[2] Univ Hawaii, Canc Ctr, Honolulu, HI 96813 USA
[3] Desert Res Inst, Div Hydrol Sci, Reno, NV 89512 USA
基金
美国国家卫生研究院;
关键词
drinking water quality; groundwater; environmental modeling; GROUND-WATER; PROBABILITY; SUSCEPTIBILITY; CONTAMINATION; EXPOSURE;
D O I
10.1021/acs.est.2c07948
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Chronic exposure to high levels of arsenic in drinking water can have wide-ranging health effects and is a global health concern. The domestic well population of the western Great Basin (WGB) is at increased risk of exposure to arsenic due to the hydrologic, geologic, and climatic setting of the region. A logistic regression (LR) model was developed to predict the probability of elevated arsenic (>= 5 mu g/L) in alluvial aquifers and assess the potential geologic hazard level posed to domestic well populations. Alluvial aquifers are susceptible to arsenic contamination, which is a concern because they are the primary source of water for domestic well users of the WGB. The probability of elevated arsenic at a domestic well is strongly influenced by tectonic and geothermal variables, including the total Quaternary fault length in the hydrographic basin and the distance between the sampled well and a geothermal system. The model had an overall accuracy of 81%, sensitivity of 92%, and specificity of 55%. Results show a >50% probability of elevated arsenic in untreated well water for approximately 49 thousand (64%) alluvial-aquifer domestic well users in northern Nevada, northeastern California, and western Utah.
引用
收藏
页码:3124 / 3133
页数:10
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