Identifying optimal green plot ratio thresholds for mitigating PM(2.5) in street canyons: Integrating LiDAR, CFD, and explainable machine learning.
- DOI
- 10.1016/j.jhazmat.2026.143277
- Published
- 2026 Sep 15
- Container
- Journal of hazardous materials
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jhazmat.2026.143277,
title = {Identifying optimal green plot ratio thresholds for mitigating PM(2.5) in street canyons: Integrating LiDAR, CFD, and explainable machine learning.},
author = {Guo B and Chen H and Wang Z and Chen M and Li L and Chen P and Pei L and Guo T and Ma X and Hu R and Zhu X},
year = {2026},
journal = {Journal of hazardous materials},
doi = {10.1016/j.jhazmat.2026.143277},
url = {https://doi.org/10.1016/j.jhazmat.2026.143277}
}RIS
TY - JOUR TI - Identifying optimal green plot ratio thresholds for mitigating PM(2.5) in street canyons: Integrating LiDAR, CFD, and explainable machine learning. AU - Guo B AU - Chen H AU - Wang Z AU - Chen M AU - Li L AU - Chen P AU - Pei L AU - Guo T AU - Ma X AU - Hu R AU - Zhu X PY - 2026 JO - Journal of hazardous materials DO - 10.1016/j.jhazmat.2026.143277 UR - https://doi.org/10.1016/j.jhazmat.2026.143277 ER -
APA
B, G., H, C., Z, W., M, C., L, L., P, C., L, P., T, G., X, M., R, H., & X, Z. (2026). Identifying optimal green plot ratio thresholds for mitigating PM(2.5) in street canyons: Integrating LiDAR, CFD, and explainable machine learning.. Journal of hazardous materials. https://doi.org/10.1016/j.jhazmat.2026.143277
Source records
- pubmed · retrieved 2026-09-26T03:59:51.930Z