Underlying surface heterogeneity modulates meteorological drivers of PM(2.5) and O(3) pollution in the Sichuan Basin: Insights from explainable machine learning.
- DOI
- 10.1016/j.envpol.2026.129201
- Published
- 2026 Sep 19
- Container
- Environmental pollution (Barking, Essex : 1987)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.envpol.2026.129201,
title = {Underlying surface heterogeneity modulates meteorological drivers of PM(2.5) and O(3) pollution in the Sichuan Basin: Insights from explainable machine learning.},
author = {Wu X and Zhao J and Liu Y and Yu J and Yan C and Wu L and Shi G and Yang F},
year = {2026},
journal = {Environmental pollution (Barking, Essex : 1987)},
doi = {10.1016/j.envpol.2026.129201},
url = {https://doi.org/10.1016/j.envpol.2026.129201}
}RIS
TY - JOUR TI - Underlying surface heterogeneity modulates meteorological drivers of PM(2.5) and O(3) pollution in the Sichuan Basin: Insights from explainable machine learning. AU - Wu X AU - Zhao J AU - Liu Y AU - Yu J AU - Yan C AU - Wu L AU - Shi G AU - Yang F PY - 2026 JO - Environmental pollution (Barking, Essex : 1987) DO - 10.1016/j.envpol.2026.129201 UR - https://doi.org/10.1016/j.envpol.2026.129201 ER -
APA
X, W., J, Z., Y, L., J, Y., C, Y., L, W., G, S., & F, Y. (2026). Underlying surface heterogeneity modulates meteorological drivers of PM(2.5) and O(3) pollution in the Sichuan Basin: Insights from explainable machine learning.. Environmental pollution (Barking, Essex : 1987). https://doi.org/10.1016/j.envpol.2026.129201
Source records
- pubmed · retrieved 2026-09-25T05:43:04.024Z