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美国东部地区作为饮用水源的地下水中的全氟烷基和多氟烷基物质。

Perfluoroalkyl and Polyfluoroalkyl Substances in Groundwater Used as a Source of Drinking Water in the Eastern United States.

机构信息

U.S. Geological Survey, Bldg. 53, MS 415, Lakewood, Colorado, 80225, United States.

U.S. Geological Survey, 10 Bearfoot Rd., Northborough, Massachusetts 01532, United States.

出版信息

Environ Sci Technol. 2022 Feb 15;56(4):2279-2288. doi: 10.1021/acs.est.1c04795. Epub 2022 Feb 3.

DOI:10.1021/acs.est.1c04795
PMID:35113548
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8970425/
Abstract

In 2019, 254 samples were collected from five aquifer systems to evaluate perfluoroalkyl and polyfluoroalkyl substance (PFAS) occurrence in groundwater used as a source of drinking water in the eastern United States. The samples were analyzed for 24 PFAS, major ions, nutrients, trace elements, dissolved organic carbon (DOC), volatile organic compounds (VOCs), pharmaceuticals, and tritium. Fourteen of the 24 PFAS were detected in groundwater, with 60 and 20% of public-supply and domestic wells, respectively, containing at least one PFAS detection. Concentrations of tritium, chloride, sulfate, DOC, and manganese + iron; percent urban land use within 500 m of the wells; and VOC and pharmaceutical detection frequencies were significantly higher in samples containing PFAS detections than in samples with no detections. Boosted regression tree models that consider 57 chemical and land-use variables show that tritium concentration, distance to the nearest fire-training area, percentage of urban land use, and DOC and VOC concentrations are the top five predictors of PFAS detections, consistent with the hydrologic position, geochemistry, and land use being important controls on PFAS occurrence in groundwater. Model results indicate that it may be possible to predict PFAS detections in groundwater using existing data sources.

摘要

2019 年,从五个含水层系统采集了 254 个样本,以评估美国东部作为饮用水源的地下水中全氟烷基和多氟烷基物质 (PFAS) 的存在情况。这些样本分析了 24 种 PFAS、主要离子、营养物质、微量元素、溶解有机碳 (DOC)、挥发性有机化合物 (VOCs)、药品和氚。在地下水中检测到了 14 种 PFAS,其中公共供水和家庭水井分别有 60%和 20%至少检测到一种 PFAS。在含有 PFAS 检测的样本中,氚、氯、硫酸盐、DOC 和锰铁的浓度、井周围 500 米内的城市土地利用比例,以及 VOC 和药品的检测频率明显高于没有检测到 PFAS 的样本。考虑 57 种化学和土地利用变量的提升回归树模型表明,氚浓度、最近的消防训练区距离、城市土地利用比例以及 DOC 和 VOC 浓度是 PFAS 检测的前五个预测因子,这与水文位置、地球化学和土地利用是地下水中 PFAS 存在的重要控制因素一致。模型结果表明,使用现有数据源预测地下水中的 PFAS 检测可能是可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/050c/8970425/f928bf6f36ef/es1c04795_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/050c/8970425/3165fad26474/es1c04795_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/050c/8970425/0f6d29de4618/es1c04795_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/050c/8970425/669bc52f8eda/es1c04795_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/050c/8970425/f928bf6f36ef/es1c04795_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/050c/8970425/3165fad26474/es1c04795_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/050c/8970425/0f6d29de4618/es1c04795_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/050c/8970425/669bc52f8eda/es1c04795_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/050c/8970425/f928bf6f36ef/es1c04795_0005.jpg

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