Cite
Separating Daily 1 km PM 2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data.
MLA
Wei, Jing, et al. “Separating Daily 1 Km PM 2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data.” Environmental Science & Technology, vol. 57, no. 46, Nov. 2023, pp. 18282–95. EBSCOhost, https://doi.org/10.1021/acs.est.3c00272.
APA
Wei, J., Li, Z., Chen, X., Li, C., Sun, Y., Wang, J., Lyapustin, A., Brasseur, G. P., Jiang, M., Sun, L., Wang, T., Jung, C. H., Qiu, B., Fang, C., Liu, X., Hao, J., Wang, Y., Zhan, M., Song, X., & Liu, Y. (2023). Separating Daily 1 km PM 2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data. Environmental Science & Technology, 57(46), 18282–18295. https://doi.org/10.1021/acs.est.3c00272
Chicago
Wei, Jing, Zhanqing Li, Xi Chen, Chi Li, Yele Sun, Jun Wang, Alexei Lyapustin, et al. 2023. “Separating Daily 1 Km PM 2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data.” Environmental Science & Technology 57 (46): 18282–95. doi:10.1021/acs.est.3c00272.