Cite
High-resolution full-coverage ozone (O 3 ) estimates using a data-driven spatial random forest model in Beijing-Tianjin-Hebei region, China.
MLA
Wang, Junyu, et al. “High-Resolution Full-Coverage Ozone (O 3 ) Estimates Using a Data-Driven Spatial Random Forest Model in Beijing-Tianjin-Hebei Region, China.” Journal of Hazardous Materials, vol. 480, Dec. 2024, p. 136047. EBSCOhost, https://doi.org/10.1016/j.jhazmat.2024.136047.
APA
Wang, J., Qian, J., Chen, J., Li, S., Yao, M., Du, Q., Yang, N., Zhang, T., Yin, F., Deng, Y., Zeng, J., Tao, C., Xu, X., Wang, N., Jiang, M., Zhang, X., & Ma, Y. (2024). High-resolution full-coverage ozone (O 3 ) estimates using a data-driven spatial random forest model in Beijing-Tianjin-Hebei region, China. Journal of Hazardous Materials, 480, 136047. https://doi.org/10.1016/j.jhazmat.2024.136047
Chicago
Wang, Junyu, Jian Qian, Jiayi Chen, Sheng Li, Menghan Yao, Qianqian Du, Na Yang, et al. 2024. “High-Resolution Full-Coverage Ozone (O 3 ) Estimates Using a Data-Driven Spatial Random Forest Model in Beijing-Tianjin-Hebei Region, China.” Journal of Hazardous Materials 480 (December): 136047. doi:10.1016/j.jhazmat.2024.136047.