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预测全氟和多氟烷基物质的区域尺度大气沉积和环境空气暴露。

Predictions of PFAS regional-scale atmospheric deposition and ambient air exposure.

机构信息

Center for Environmental Measurement and Modeling, US EPA, Research Triangle Park, NC, United States.

Center for Environmental Measurement and Modeling, US EPA, Research Triangle Park, NC, United States.

出版信息

Sci Total Environ. 2023 Dec 1;902:166256. doi: 10.1016/j.scitotenv.2023.166256. Epub 2023 Aug 16.

Abstract

Per- and polyfluoroalkyl substances (PFAS) are a large class of human-made compounds that have contaminated the global environment. One environmental entry point for PFAS is via atmospheric emission. Air releases can impact human health through multiple routes, including direct inhalation and contamination of drinking water following air deposition. In this work, we convert the reference dose (RfD) underlying the United States Environmental Protection Agency's GenX drinking water Health Advisory to an inhalation screening level and compare to predicted PFAS and GenX air concentrations from a fluorochemical manufacturing facility in Eastern North Carolina. We find that the area around the facility experiences ~15 days per year of GenX concentrations above the inhalation screening level we derive. We investigate the sensitivity of model predictions to assumptions regarding model spatial resolution, emissions temporal profiles, and knowledge of air emission chemical composition. Decreasing the chemical specificity of PFAS emissions has the largest impact on deposition predictions with domain-wide total deposition varying by as much as 250 % for total PFAS. However, predicted domain-wide mean and median air concentrations varied by <18 % over all scenarios tested for total PFAS. Other model features like emission temporal variability and model spatial resolution had weaker impacts on predicted PFAS deposition.

摘要

全氟和多氟烷基物质(PFAS)是一大类人造化合物,已污染了全球环境。PFAS 进入环境的一个途径是通过大气排放。空气释放可以通过多种途径影响人类健康,包括直接吸入以及空气沉积后饮用水的污染。在这项工作中,我们将美国环境保护署 GenX 饮用水健康咨询的参考剂量(RfD)转换为吸入筛选水平,并将其与北卡罗来纳州东部一家氟化学品制造设施的预测 PFAS 和 GenX 空气浓度进行比较。我们发现,该设施周围地区每年约有 15 天的 GenX 浓度超过我们得出的吸入筛选水平。我们研究了模型预测对模型空间分辨率、排放时间分布以及空气排放化学成分知识的假设的敏感性。降低 PFAS 排放的化学特异性对沉积预测的影响最大,总 PFAS 的全区域总沉积变化高达 250%。然而,对于总 PFAS 测试的所有场景,预测的全区域平均和中位数空气浓度变化均小于 18%。其他模型特征,如排放时间变化和模型空间分辨率,对预测的 PFAS 沉积影响较小。

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Evaluating Neutral PFAS for Potential Dermal Absorption from the Gas Phase.评估中性全氟辛烷磺酸从气相中潜在的经皮吸收。
Environ Sci Technol. 2023 Mar 28;57(12):4951-4958. doi: 10.1021/acs.est.2c08835. Epub 2023 Mar 14.

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