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

被引:2
|
作者
D'Ambro, Emma L. [1 ]
Murphy, Benjamin N. [1 ]
Bash, Jesse O. [1 ]
Gilliam, Robert C. [1 ]
Pye, Havala O. T. [1 ]
机构
[1] US EPA, Ctr Environm Measurement & Modeling, Res Triangle Pk, NC 27711 USA
关键词
Air quality; Community multiscale air quality (CMAQ); model; Per-and polyfluoroalkyl substances (PFAS); Emissions; Modeled ambient concentrations; POLYFLUOROALKYL SUBSTANCES; PERFLUOROALKYL SUBSTANCES; PERFLUOROCARBOXYLIC ACIDS; TRANSPORT; PERFLUOROOCTANOATE; MODEL; PFOA; FATE;
D O I
10.1016/j.scitotenv.2023.166256
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] THE REPRESENTATION OF ATMOSPHERIC MOTION IN MODELS OF REGIONAL-SCALE AIR-POLLUTION
    LAMB, RG
    HATI, SK
    [J]. JOURNAL OF CLIMATE AND APPLIED METEOROLOGY, 1987, 26 (07): : 837 - 846
  • [2] Evaluating regional-scale air quality models
    Gilliland, Alice B.
    Godowitch, James M.
    Hogrefe, Christian
    Rao, S. T.
    [J]. AIR POLLUTION MODELING AND ITS APPLICATION XIX, 2008, : 412 - 419
  • [3] REGIONAL-SCALE EVAPORATION AND THE ATMOSPHERIC BOUNDARY-LAYER
    PARLANGE, MB
    EICHINGER, WE
    ALBERTSON, JD
    [J]. REVIEWS OF GEOPHYSICS, 1995, 33 (01) : 99 - 124
  • [4] Atmospheric teleconnections and regional-scale atmospheric anomalies over the Northern Hemisphere
    Qian Wei-Hong
    Liang Hao-Yuan
    [J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2012, 55 (05): : 1449 - 1461
  • [5] Impact of regional-scale atmospheric circulation patterns on winter air temperature variability in the Svalbard area
    Bednorz, Ewa
    Tomczyk, Arkadiusz M.
    Czernecki, Bartosz
    Piekny, Milosz
    [J]. POLISH POLAR RESEARCH, 2024, 45 (01) : 21 - 42
  • [6] Harvard forest regional-scale air mass composition by Patterns in Atmospheric Transport History (PATH)
    Moody, JL
    Munger, JW
    Goldstein, AH
    Jacob, DJ
    Wofsy, SC
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1998, 103 (D11) : 13181 - 13194
  • [7] Regional-scale air pollution dispersion model regfori
    [J]. Holnicki, P., 2001, Technical University of Wroclaw (27):
  • [8] On the limit to the accuracy of regional-scale air quality models
    Rao, S. Trivikrama
    Luo, Huiying
    Astitha, Marina
    Hogrefe, Christian
    Garcia, Valerie
    Mathur, Rohit
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (03) : 1627 - 1639
  • [9] Physical decomposition principle of regional-scale atmospheric transient anomaly
    Qian Wei-Hong
    [J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2012, 55 (05): : 1439 - 1448
  • [10] Constraining regional-scale groundwater transport predictions with multiple geophysical techniques
    Li, Chris
    Doble, Rebecca
    Hatch, Michael
    Heinson, Graham
    Kay, Ben
    [J]. JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2021, 36