Lv, Yunqian, Tian, Hezhong, Luo, Lining, Liu, Shuhan, Bai, Xiaoxuan, Zhao, Hongyan, Zhang, Kai, Lin, Shumin, Zhao, Shuang, Guo, Zhihui, Xiao, Yifei, Yang, Junqi (2023) Understanding and revealing the intrinsic impacts of the COVID-19 lockdown on air quality and public health in North China using machine learning. Science of The Total Environment, 857. 159339 doi:10.1016/j.scitotenv.2022.159339
| Reference Type | Journal (article/letter/editorial) | ||
|---|---|---|---|
| Title | Understanding and revealing the intrinsic impacts of the COVID-19 lockdown on air quality and public health in North China using machine learning | ||
| Journal | Science of The Total Environment | ||
| Authors | Lv, Yunqian | Author | |
| Tian, Hezhong | Author | ||
| Luo, Lining | Author | ||
| Liu, Shuhan | Author | ||
| Bai, Xiaoxuan | Author | ||
| Zhao, Hongyan | Author | ||
| Zhang, Kai | Author | ||
| Lin, Shumin | Author | ||
| Zhao, Shuang | Author | ||
| Guo, Zhihui | Author | ||
| Xiao, Yifei | Author | ||
| Yang, Junqi | Author | ||
| Year | 2023 (January) | Volume | 857 |
| Publisher | Elsevier BV | ||
| DOI | doi:10.1016/j.scitotenv.2022.159339Search in ResearchGate | ||
| Generate Citation Formats | |||
| Mindat Ref. ID | 15467364 | Long-form Identifier | mindat:1:5:15467364:2 |
| GUID | 0 | ||
| Full Reference | Lv, Yunqian, Tian, Hezhong, Luo, Lining, Liu, Shuhan, Bai, Xiaoxuan, Zhao, Hongyan, Zhang, Kai, Lin, Shumin, Zhao, Shuang, Guo, Zhihui, Xiao, Yifei, Yang, Junqi (2023) Understanding and revealing the intrinsic impacts of the COVID-19 lockdown on air quality and public health in North China using machine learning. Science of The Total Environment, 857. 159339 doi:10.1016/j.scitotenv.2022.159339 | ||
| Plain Text | Lv, Yunqian, Tian, Hezhong, Luo, Lining, Liu, Shuhan, Bai, Xiaoxuan, Zhao, Hongyan, Zhang, Kai, Lin, Shumin, Zhao, Shuang, Guo, Zhihui, Xiao, Yifei, Yang, Junqi (2023) Understanding and revealing the intrinsic impacts of the COVID-19 lockdown on air quality and public health in North China using machine learning. Science of The Total Environment, 857. 159339 doi:10.1016/j.scitotenv.2022.159339 | ||
| In | (2023) Science of The Total Environment Vol. 857. Elsevier BV | ||
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