Unraveling decadal changes in PM(2.5) sources and secondary aerosol formation drivers using integrated receptor model and machine learning.
- DOI
- 10.1016/j.jenvman.2026.130913
- Published
- 2026 Sep 14
- Container
- Journal of environmental management
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.jenvman.2026.130913,
title = {Unraveling decadal changes in PM(2.5) sources and secondary aerosol formation drivers using integrated receptor model and machine learning.},
author = {Liu SZ and Peng X and Tang KJ and Tang MX and Feng N and Zeng LW and Huang XF and He LY},
year = {2026},
journal = {Journal of environmental management},
doi = {10.1016/j.jenvman.2026.130913},
url = {https://doi.org/10.1016/j.jenvman.2026.130913}
}RIS
TY - JOUR TI - Unraveling decadal changes in PM(2.5) sources and secondary aerosol formation drivers using integrated receptor model and machine learning. AU - Liu SZ AU - Peng X AU - Tang KJ AU - Tang MX AU - Feng N AU - Zeng LW AU - Huang XF AU - He LY PY - 2026 JO - Journal of environmental management DO - 10.1016/j.jenvman.2026.130913 UR - https://doi.org/10.1016/j.jenvman.2026.130913 ER -
APA
SZ, L., X, P., KJ, T., MX, T., N, F., LW, Z., XF, H., & LY, H. (2026). Unraveling decadal changes in PM(2.5) sources and secondary aerosol formation drivers using integrated receptor model and machine learning.. Journal of environmental management. https://doi.org/10.1016/j.jenvman.2026.130913
Source records
- pubmed · retrieved 2026-09-25T15:43:24.156Z
- europe-pmc · retrieved 2026-09-25T15:43:24.175Z