Quantifying the reduction in particulate matter by urban park green spaces using a random forest model: A case study of Hohhot, China.
- DOI
- 10.1016/j.envpol.2026.129128
- Published
- 2026-09-07
- Container
- Environ Pollut
- Publisher
- Not recorded
- Open access
- no
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.envpol.2026.129128,
title = {Quantifying the reduction in particulate matter by urban park green spaces using a random forest model: A case study of Hohhot, China.},
author = {Tian Y and Bai Z and Wang Q and Wang A and Lyu Y.},
year = {2026},
journal = {Environ Pollut},
doi = {10.1016/j.envpol.2026.129128},
url = {https://doi.org/10.1016/j.envpol.2026.129128}
}RIS
TY - JOUR TI - Quantifying the reduction in particulate matter by urban park green spaces using a random forest model: A case study of Hohhot, China. AU - Tian Y AU - Bai Z AU - Wang Q AU - Wang A AU - Lyu Y. PY - 2026 JO - Environ Pollut DO - 10.1016/j.envpol.2026.129128 UR - https://doi.org/10.1016/j.envpol.2026.129128 ER -
APA
Y, T., Z, B., Q, W., A, W., & Y., L. (2026). Quantifying the reduction in particulate matter by urban park green spaces using a random forest model: A case study of Hohhot, China.. Environ Pollut. https://doi.org/10.1016/j.envpol.2026.129128
Source records
- europe-pmc · retrieved 2026-09-24T22:16:21.268Z