Spatial–temporal evolution characteristics of PM2.5 and its driving mechanism: spatially explicit insights from Shanxi Province, China
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10661-024-12795-9.pdf
Reference57 articles.
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3. Chen, Y., Schleicher, N., Fricker, M., Cen, K., Liu, X., Kaminski, U., Yu, Y., Wu, X., & Norra, S. (2016). Long-term variation of black carbon and PM2.5 in Beijing, China with respect to meteorological conditions and governmental measures. Environmental Pollution, 212, 269–278. https://doi.org/10.1016/j.envpol.2016.01.008
4. Chen, J., Zhou, C., Wang, S., & Hu, J. (2018). Identifying the socioeconomic determinants of population exposure to particulate matter (PM2.5) in China using geographically weighted regression modeling. Environmental Pollution, 241, 494–503. https://doi.org/10.1016/j.envpol.2018.05.083
5. Chen, Mingxing, Guo, S., Hu, M., & Zhang, X. (2020). The spatiotemporal evolution of population exposure to PM2.5 within the Beijing-Tianjin-Hebei urban agglomeration China. Journal of Cleaner Production, 265, 121708. https://doi.org/10.1016/j.jclepro.2020.121708
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