空气质量指数
空气污染
环境卫生
环境科学
衡平法
微粒
健康影响评估
污染物
邻里(数学)
空气污染物标准
公共卫生
地理
空气污染物
医学
气象学
政治学
化学
数学分析
护理部
数学
有机化学
法学
作者
Sara F Camilleri,Anastasia Montgomery,Maxime Visa,Jordan Schnell,Zachariah Adelman,Mark Janssen,Emily Grubert,Susan C. Anenberg,Daniel E. Horton
标识
DOI:10.1038/s41893-023-01219-0
摘要
Abstract Heavy-duty vehicles (HDVs) disproportionately contribute to the creation of air pollutants and emission of greenhouse gases—with marginalized populations unequally burdened by the impacts of each. Shifting to non-emitting technologies, such as electric HDVs (eHDVs), is underway; however, the associated air quality and health implications have not been resolved at equity-relevant scales. Here we use a neighbourhood-scale (~1 km) air quality model to evaluate air pollution, public health and equity implications of a 30% transition of predominantly diesel HDVs to eHDVs over the region surrounding North America’s largest freight hub, Chicago, IL. We find decreases in nitrogen dioxide (NO 2 ) and fine particulate matter (PM 2.5 ) concentrations but ozone (O 3 ) increases, particularly in urban settings. Over our simulation domain NO 2 and PM 2.5 reductions translate to ~590 (95% confidence interval (CI) 150–900) and ~70 (95% CI 20–110) avoided premature deaths per year, respectively, while O 3 increases add ~50 (95% CI 30–110) deaths per year. The largest pollutant and health benefits simulated are within communities with higher proportions of Black and Hispanic/Latino residents, highlighting the potential for eHDVs to reduce disproportionate and unjust air pollution and associated air-pollution attributable health burdens within historically marginalized populations.
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