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From COVID-19 to FutureElectrification: Assessing Traffic Impacts on Air Quality by a Machine LearningModel
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《美国科学院院刊》(Proceedings of the National Academy ofSciences) 论文共同第一作者为加州理工学院博士生杨佳妮和清华大学环境学院博士生温轶凡。 Abstract. 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 duringCOVID-19, to predict surface-level NO2, O3, and fine particle concentration in the Los Angeles megacity. |
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2021-06-30 08:52:25 发布,悬赏 10 积分
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