Forecasting of AQI (PM(2.5)) for the three most polluted cities in India during COVID-19 by hybrid Daubechies discrete wavelet decomposition and autoregressive (Db-DWD-ARIMA) model.
- DOI
- 10.1007/s11356-023-29501-w
- Published
- 2023 Sep
- Container
- Environmental science and pollution research international
- 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:10.1007/s11356-023-29501-w,
title = {Forecasting of AQI (PM(2.5)) for the three most polluted cities in India during COVID-19 by hybrid Daubechies discrete wavelet decomposition and autoregressive (Db-DWD-ARIMA) model.},
author = {Kaur J and Singh S and Parmar KS},
year = {2023},
journal = {Environmental science and pollution research international},
doi = {10.1007/s11356-023-29501-w},
url = {https://doi.org/10.1007/s11356-023-29501-w}
}RIS
TY - JOUR TI - Forecasting of AQI (PM(2.5)) for the three most polluted cities in India during COVID-19 by hybrid Daubechies discrete wavelet decomposition and autoregressive (Db-DWD-ARIMA) model. AU - Kaur J AU - Singh S AU - Parmar KS PY - 2023 JO - Environmental science and pollution research international DO - 10.1007/s11356-023-29501-w UR - https://doi.org/10.1007/s11356-023-29501-w ER -
APA
J, K., S, S., & KS, P. (2023). Forecasting of AQI (PM(2.5)) for the three most polluted cities in India during COVID-19 by hybrid Daubechies discrete wavelet decomposition and autoregressive (Db-DWD-ARIMA) model.. Environmental science and pollution research international. https://doi.org/10.1007/s11356-023-29501-w
Source records
- pubmed · retrieved 2026-09-26T18:01:28.421Z