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101052 |
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1614-7499 |
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45 |
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101035-101052 |
publicationName |
Environmental science and pollution research international |
startingPage |
101035 |
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bibliographicCitation |
Kaur J, Singh S, Parmar KS. Forecasting of AQI (PM2.5) for the three most polluted cities in India during COVID-19 by hybrid Daubechies discrete wavelet decomposition and autoregressive (Db-DWD-ARIMA) model. Environ Sci Pollut Res Int. 2023 Sep;30(45):101035–52. doi: 10.1007/s11356-023-29501-w. PMID: 37644272. |
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date |
2023-08-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
identifier |
https://doi.org/10.1007/s11356-023-29501-w https://pubmed.ncbi.nlm.nih.gov/37644272 |
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language |
English |
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title |
Forecasting of AQI (PM2.5) for the three most polluted cities in India during COVID-19 by hybrid Daubechies discrete wavelet decomposition and autoregressive (Db-DWD-ARIMA) model |
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