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Time trends and persistence in PM2.5 in 20 megacities: evidence for the time period 2018–2020
dc.contributor.author | Bermejo Muñoz, Lorenzo | |
dc.contributor.author | Gil Alana, Luis A. | |
dc.contributor.author | Río Caballero, Marta del | |
dc.date.accessioned | 2023-04-26T14:01:41Z | |
dc.date.available | 2023-04-26T14:01:41Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Bermejo, L., Gil-Alana, L.A. & del Río, M. Time trends and persistence in PM2.5 in 20 megacities: evidence for the time period 2018–2020. Environ Sci Pollut Res 30, 5603–5620 (2023). https://doi.org/10.1007/s11356-022-22512-z | es |
dc.identifier.issn | 09441344 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12766/411 | |
dc.description.abstract | The degree of persistence in daily data for PM2.5 in 20 relevant megacities such as Bangkok, Beijing, Mumbai, Calcutta, Canton, Dhaka, Delhi, Jakarta, London, Los Angeles, Mexico City, Moscow, New York, Osaka. Paris, Sao Paulo, Seoul, Shanghai, Tientsin, and Tokyo is examined in this work. The analysis developed is based on fractional integration techniques. Specifcally, the diferentiation parameter is used to measure the degree of persistence in the series under study, which collects data on daily measurements carried out from January 1, 2018, to December 31, 2020. The results obtained show that the estimated values for the diferentiation parameter are restricted to the interval (0, 1) in all cases, which allows us to conclude that there is a mean reverting pattern and, therefore, transitory efects of shocks. | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Time trends and persistence in PM2.5 in 20 megacities: evidence for the time period 2018–2020 | es |
dc.type | journal article | es |
dc.description.department | Empresa | es |
dc.identifier.doi | 10.1007/s11356-022-22512-z | |
dc.journal.title | Environmental Science and Pollution Research | es |
dc.page.initial | 5603 | es |
dc.page.final | 5620 | es |
dc.rights.accessRights | open access | es |
dc.subject.keyword | Particular matters | es |
dc.subject.keyword | PM2.5 | es |
dc.subject.keyword | Long memory | es |
dc.subject.keyword | Fractional integration | es |
dc.subject.keyword | Time trends | es |
dc.volume.number | 30 | es |