Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1073/pnas.2102705118 |
From COVID-19 to future electrification: Assessing traffic impacts on air quality by a machine-learning model | |
Jiani Yang; Yifan Wen; Yuan Wang; Shaojun Zhang; Joseph P. Pinto; Elyse A. Pennington; Zhou Wang; Ye Wu; Stanley P. Sander; Jonathan H. Jiang; Jiming Hao; Yuk L. Yung; John H. Seinfeld | |
2021-06-29 | |
发表期刊 | Proceedings of the National Academy of Sciences |
出版年 | 2021 |
英文摘要 | The large fluctuations in traffic during the COVID-19 pandemic provide an unparalleled opportunity to assess vehicle emission control efficacy. Here we develop a random-forest regression model, based on the large volume of real-time observational data during COVID-19, to predict surface-level NO2, O3, and fine particle concentration in the Los Angeles megacity. Our model exhibits high fidelity in reproducing pollutant concentrations in the Los Angeles Basin and identifies major factors controlling each species. During the strictest lockdown period, traffic reduction led to decreases in NO2 and particulate matter with aerodynamic diameters <2.5 μm by –30.1% and –17.5%, respectively, but a 5.7% increase in O3. Heavy-duty truck emissions contribute primarily to these variations. Future traffic-emission controls are estimated to impose similar effects as observed during the COVID-19 lockdown, but with smaller magnitude. Vehicular electrification will achieve further alleviation of NO2 levels. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/333957 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Jiani Yang,Yifan Wen,Yuan Wang,et al. From COVID-19 to future electrification: Assessing traffic impacts on air quality by a machine-learning model[J]. Proceedings of the National Academy of Sciences,2021. |
APA | Jiani Yang.,Yifan Wen.,Yuan Wang.,Shaojun Zhang.,Joseph P. Pinto.,...&John H. Seinfeld.(2021).From COVID-19 to future electrification: Assessing traffic impacts on air quality by a machine-learning model.Proceedings of the National Academy of Sciences. |
MLA | Jiani Yang,et al."From COVID-19 to future electrification: Assessing traffic impacts on air quality by a machine-learning model".Proceedings of the National Academy of Sciences (2021). |
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