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[PM_2.5和O₃对以随机森林算法为基础的南京减排的反应]

Yong-Jie Shang¹, Yu-Hao Mao^1,2, Hong Liao^1,2

¹Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.

Huan jing ke xue= Huanjing kexue

|September 11, 2023

概括

减少中国的排放可以降低南京的细颗粒物 (PM2.5),但臭氧 (O3) 污染需要特定的前体控制比率和区域合作. 有效的策略包括有针对性的减少氧化 (NOx) 和挥发性有机化合物 (VOC).

科学领域:

大气化学和空气污染建模
环境科学与公共卫生
计算科学和机器学习

关键词:

在 GEOS-Chem 模型中,减排场景减排场景微细颗粒物 (PM2.5) 是一种微细颗粒物.臭氧 (O3) 是一种有毒的物质.随机的森林随机的森林

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