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当前从包气带中全氟和多氟烷基物质(PFAS)污染预测地下水脆弱性方法的局限性。

Limitations of Current Approaches for Predicting Groundwater Vulnerability from PFAS Contamination in the Vadose Zone.

作者信息

Rovero Matt, Cutt Diana, Griffiths Rachel, Filipowicz Urszula, Mishkin Katherine, White Brad, Goodrow Sandra, Wilkin Richard T

机构信息

Oak Ridge Associated Universities, U.S. Environmental Protection Agency, Center for Environmental Solutions and Emergency Response, Groundwater Characterization and Remediation Division, 919 Kerr Research Drive, Ada, OK 74820.

U.S. Environmental Protection Agency, Center for Environmental Solutions and Emergency Response, Technical Support Coordination Division, 290 Broadway, New York, NY 10007.

出版信息

Ground Water Monit Remediat. 2021 Sep 30;41(4):62-75. doi: 10.1111/gwmr.12485.

DOI:10.1111/gwmr.12485
PMID:35087263
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8788618/
Abstract

Published literature for reported sorption coefficients (K) of eight anionic per- and polyfluoroalkyl substances (PFAS) in soil was reviewed. K values spanned three to five log units indicating that no single value would be appropriate for use in estimating PFAS impacts to groundwater using existing soil-water partition equations. Regression analysis was used to determine if the soil or solution parameters might be used to predict K values. None of the 15 experimental parameters collected could individually explain variability in reported K values. Significant associations between K and soil calcium and sodium content were found for many of the selected PFAS, suggesting that soil cation content may be critical to PFAS sorption, as previously noted in sources like Higgins and Luthy (2006), while organic carbon content was significant only at elevated levels (>5%). Unexplained discrepancies between the results from studies where PFAS were introduced to soil and desorbed in the laboratory and those that used material from PFAS-impacted sites suggest that laboratory experiments may be overlooking some aspects critical to PFAS sorption. Future studies would benefit from the development and use of standardized analytical methods to improve data quality and the establishment of soil parameters appropriate for collection to produce more complete data sets for predictive analysis.

摘要

对已发表的关于八种阴离子全氟和多氟烷基物质(PFAS)在土壤中的吸附系数(K)的文献进行了综述。K值跨度为三到五个对数单位,这表明使用现有的土壤 - 水分配方程来估算PFAS对地下水的影响时,没有一个单一的值是合适的。使用回归分析来确定土壤或溶液参数是否可用于预测K值。收集的15个实验参数中,没有一个能够单独解释报告的K值的变异性。对于许多选定的PFAS,发现K与土壤钙和钠含量之间存在显著关联,这表明土壤阳离子含量可能对PFAS吸附至关重要,正如希金斯和卢西(2006年)等文献中先前所述,而有机碳含量仅在较高水平(>5%)时才具有显著性。在将PFAS引入土壤并在实验室中解吸的研究结果与使用受PFAS影响场地的材料的研究结果之间存在无法解释的差异,这表明实验室实验可能忽略了对PFAS吸附至关重要的某些方面。未来的研究将受益于开发和使用标准化分析方法以提高数据质量,以及建立适合收集的土壤参数,以生成更完整的数据集用于预测分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5943/8788618/332a0eb475a2/nihms-1765431-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5943/8788618/2fb186cb19c7/nihms-1765431-f0001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5943/8788618/4edd782e6bd1/nihms-1765431-f0003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5943/8788618/332a0eb475a2/nihms-1765431-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5943/8788618/2fb186cb19c7/nihms-1765431-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5943/8788618/23814c9b5466/nihms-1765431-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5943/8788618/4edd782e6bd1/nihms-1765431-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5943/8788618/facddfa51eac/nihms-1765431-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5943/8788618/71d1a7ac1704/nihms-1765431-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5943/8788618/332a0eb475a2/nihms-1765431-f0006.jpg

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