Assessing the ambient air quality patterns associated to the COVID-19 outbreak in the Yangtze River Delta: A random forest approach.
- DOI
- 10.1016/j.chemosphere.2022.137638
- Published
- 2023 Feb
- Container
- Chemosphere
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.chemosphere.2022.137638,
title = {Assessing the ambient air quality patterns associated to the COVID-19 outbreak in the Yangtze River Delta: A random forest approach.},
author = {Hasnain A and Sheng Y and Hashmi MZ and Bhatti UA and Ahmed Z and Zha Y},
year = {2023},
journal = {Chemosphere},
doi = {10.1016/j.chemosphere.2022.137638},
url = {https://doi.org/10.1016/j.chemosphere.2022.137638}
}RIS
TY - JOUR TI - Assessing the ambient air quality patterns associated to the COVID-19 outbreak in the Yangtze River Delta: A random forest approach. AU - Hasnain A AU - Sheng Y AU - Hashmi MZ AU - Bhatti UA AU - Ahmed Z AU - Zha Y PY - 2023 JO - Chemosphere DO - 10.1016/j.chemosphere.2022.137638 UR - https://doi.org/10.1016/j.chemosphere.2022.137638 ER -
APA
A, H., Y, S., MZ, H., UA, B., Z, A., & Y, Z. (2023). Assessing the ambient air quality patterns associated to the COVID-19 outbreak in the Yangtze River Delta: A random forest approach.. Chemosphere. https://doi.org/10.1016/j.chemosphere.2022.137638
Source records
- pubmed · retrieved 2026-09-26T23:31:35.068Z