Constructing the 3D spatial distribution of PM2.5 concentrations during the 2022 Beijing Winter Olympics using LiDAR vertical observation networks and machine learning models

Air pollution in China has shown significant improvement due to the strict implementation of emission control measures; however, pollution episodes caused by regional transport still occur frequently. This study investigates the three-dimensional distribution and transport mechanisms of PM2.5 in the...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Zenan Wang, Yan Xiang, Ying Pan, Zhenyi Chen, Yanjun Qian, Xi Mu, Zihuai Yi, Yuanzhu Dong, Lihui Lv, Yiren Wang, Lu Zhao, Xu Dao, Tianshu Zhang, Jianguo Liu, Wenqing Liu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2025-11-01
Edice:	Environment International
Témata:	Machine learning Deep learning LiDAR networks PM2.5 Three-dimensional inversion Quantitative transmission
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S0160412025006269
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!