Henneman Lucas R F, Nadjafi Ryah, Shan Xiaorong, Krall Jenna R
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.
Geohealth. 2025 Sep 16;9(9):e2025GH001431. doi: 10.1029/2025GH001431. eCollection 2025 Sep.
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.
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。