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Air pollution impacts from warehousing in the United States uncovered with satellite data.利用卫星数据发现美国仓储业对空气污染的影响。
Nat Commun. 2024 Jul 24;15(1):6006. doi: 10.1038/s41467-024-50000-0.
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Enhancing Global Estimation of Fine Particulate Matter Concentrations by Including Geophysical Information in Deep Learning.通过在深度学习中纳入地球物理信息来加强全球细颗粒物浓度估计
ACS EST Air. 2024 Mar 27;1(5):332-345. doi: 10.1021/acsestair.3c00054. eCollection 2024 May 10.
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An environmental justice analysis of air pollution emissions in the United States from 1970 to 2010.1970年至2010年美国空气污染排放的环境正义分析。
Nat Commun. 2024 Jan 17;15(1):268. doi: 10.1038/s41467-023-43492-9.
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State-of-the-Science Data and Methods Need to Guide Place-Based Efforts to Reduce Air Pollution Inequity.科学现状数据和方法需要指导基于地点的减少空气污染不平等的努力。
Environ Health Perspect. 2023 Dec;131(12):125003. doi: 10.1289/EHP13063. Epub 2023 Dec 18.
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Environ Sci Technol. 2023 Dec 5;57(48):19532-19544. doi: 10.1021/acs.est.3c03999. Epub 2023 Nov 7.
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2002-2017 anthropogenic emissions data for air quality modeling over the United States.2002年至2017年美国空气质量建模的人为排放数据。
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The Climate Gap and the Color Line - Racial Health Inequities and Climate Change.气候差距与肤色界限——种族健康不平等与气候变化
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9
Inequitable Exposures to U.S. Coal Power Plant-Related : 22 Years and Counting.美国燃煤电厂相关的不公平暴露:22 年及以后。
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10
Neighborhood Emission Mapping Operation (NEMO): A 1-km anthropogenic emission dataset in the United States.社区排放制图操作(NEMO):美国的一个 1 公里人为排放数据集。
Sci Data. 2022 Nov 9;9(1):680. doi: 10.1038/s41597-022-01790-9.

2011年至2020年弗吉尼亚州特定来源的空气污染排放不平等情况。

Source-Specific Air Pollution Emissions Inequalities From 2011 to 2020 in Virginia.

作者信息

Henneman Lucas R F, Nadjafi Ryah, Shan Xiaorong, Krall Jenna R

机构信息

Sid and Reba Dewberry Department of Civil, Environmental, and Infrastructure Engineering George Mason University Fairfax VA USA.

Department of Global and Community Health George Mason University Fairfax VA USA.

出版信息

Geohealth. 2025 Sep 16;9(9):e2025GH001431. doi: 10.1029/2025GH001431. eCollection 2025 Sep.

DOI:10.1029/2025GH001431
PMID:40964502
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12439277/
Abstract

Air quality has improved in recent decades across most of the United States. However, decreases in pollution have not been uniform, potentially exacerbating inequalities in air pollution exposure by race and ethnicity. These inequalities exist, in part, because of spatial differences in source(s), for example, power plants or roadways. Determining which sources are driving inequality across racial and ethnic groups is critical to determining which policies (e.g., targeting power plant vs. vehicle emissions) would reduce inequalities. Our study determines which pollutant sources should be decreased to address inequalities in four pollutants (NO, SO, VOCs, and PM) in the Commonwealth of Virginia. We derived emissions from eight source categories for 134 Virginia counties from the National Emissions Inventory and the MOtor Vehicle Emissions Simulator mobile source emissions model. We used race and ethnicity data from the American Community Survey from 2011 to 2020. We applied the Atkinson Index to obtain a single summary of inequality for each source-pollutant pair (e.g., NO from electricity generation) across all race and ethnic groups. Most source category emissions were unequally distributed for at least once pollutant. Compared to other sources, electricity generation resulted in the largest inequalities across pollutants. Mobile sources increased in inequality from 2011 to 2020 even as emissions decreased. These results show the importance of identifying sources that contribute most to inequalities when developing policies to promote environmental justice.

摘要

近几十年来,美国大部分地区的空气质量都有所改善。然而,污染的减少并不均匀,这可能会加剧不同种族和族裔群体在空气污染暴露方面的不平等。这些不平等现象的存在,部分原因是污染源的空间差异,例如发电厂或道路。确定哪些污染源导致了不同种族和族裔群体之间的不平等,对于确定哪些政策(例如针对发电厂排放与车辆排放)能够减少不平等至关重要。我们的研究确定了弗吉尼亚州应减少哪些污染物源,以解决四种污染物(一氧化氮、二氧化硫、挥发性有机化合物和颗粒物)的不平等问题。我们从国家排放清单和机动车排放模拟器移动源排放模型中得出了弗吉尼亚州134个县八个源类别的排放数据。我们使用了2011年至2020年美国社区调查中的种族和族裔数据。我们应用阿特金森指数,对所有种族和族裔群体中每个源-污染物对(例如发电产生的一氧化氮)的不平等情况得出一个单一的汇总结果。大多数源类别的排放至少对一种污染物的分布不均。与其他源相比,发电导致的污染物不平等最为严重。尽管移动源的排放量在2011年至2020年期间有所下降,但其不平等程度却有所增加。这些结果表明,在制定促进环境正义的政策时,识别对不平等贡献最大的污染源非常重要。