Apportioning Firework Burning and Routine Source Contributions to PM(2.5) in a Chinese Megacity Using Two PMF-Machine Learning Frameworks.
- DOI
- 10.1016/j.envres.2026.126121
- Published
- 2026 Nov 5
- Container
- Environmental research
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.envres.2026.126121,
title = {Apportioning Firework Burning and Routine Source Contributions to PM(2.5) in a Chinese Megacity Using Two PMF-Machine Learning Frameworks.},
author = {Tan JY and Peng X and Zhang ZY and Li JH and Yu WJ and Liu YF and Huang XF and Du K and He LY},
year = {2026},
journal = {Environmental research},
doi = {10.1016/j.envres.2026.126121},
url = {https://doi.org/10.1016/j.envres.2026.126121}
}RIS
TY - JOUR TI - Apportioning Firework Burning and Routine Source Contributions to PM(2.5) in a Chinese Megacity Using Two PMF-Machine Learning Frameworks. AU - Tan JY AU - Peng X AU - Zhang ZY AU - Li JH AU - Yu WJ AU - Liu YF AU - Huang XF AU - Du K AU - He LY PY - 2026 JO - Environmental research DO - 10.1016/j.envres.2026.126121 UR - https://doi.org/10.1016/j.envres.2026.126121 ER -
APA
JY, T., X, P., ZY, Z., JH, L., WJ, Y., YF, L., XF, H., K, D., & LY, H. (2026). Apportioning Firework Burning and Routine Source Contributions to PM(2.5) in a Chinese Megacity Using Two PMF-Machine Learning Frameworks.. Environmental research. https://doi.org/10.1016/j.envres.2026.126121
Source records
- pubmed · retrieved 2026-11-10T11:33:29.761Z