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Updated: Jul 2, 2025

Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions
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Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions

Published on: January 7, 2019

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在COVID-19疫情期间使用随机森林阐明挥发性有机化合物对臭氧形成的贡献:中国的一个案例研究

Yan Lyu1, Yibu Gao2, Xiaobing Pang3

  • 1College of Environment, Zhejiang University of Technology, Hangzhou, 310014, China; School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou, 221116, China; Shaoxing Research Institute, Zhejiang University of Technology, Shaoxing, 312077, China.

Environmental pollution (Barking, Essex : 1987)
|February 16, 2024
PubMed
概括

在COVID-19大流行期间对挥发性有机化合物 (VOC) 进行了监测,揭示了芳和是臭氧形成的关键因素. 机器学习模型有效地预测了臭氧水平,突出了VOC和二氧化在不同季节的影响.

关键词:
机器学习 机器学习臭氧污染 臭氧污染季节性变化 季节性变化二次有机气溶二次有机气溶挥发性有机化合物的反应活性

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