Abstract
It is shown that distribution of PM2.5 concentration recorded by eight air quality monitoring stations during 2021, covering a large part of the Santiago metropolitan region of Chile, can be explained by a q-Weibull function, which has been related in some papers to complex and non-equilibrium statistical systems. It was found that this function has an excellent fit performance on non-filtered data, which cannot be reached by other physical-statistical functions widely used to modeling air pollution distribution in the literature. Finally, relevant interpretations from the fit parameters are shown as well.
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Data availability statement
This manuscript has associated data in a data repository. [Authors’ comment: We cannot generalize the results based on what we observed during the year 2021 for the PM2.5 pollutant. It is important to note that on March 18, 2020, the “State of Constitutional Exception of Catastrophe, due to public calamity” began to apply in Chile, which was in force until March 13, 2021. It was later extended until September 2021 (Decrees 72 and 153 can be consulted on the official website of the Library of the National Congress of Chile https://www.bcn.cl), which brought a series of prevention measures, such as the closure of borders (air, land and sea), the declaration of a night curfew throughout the national territory, among other measures that affected environmental behavior in our study area (Santiago de Chile).]
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Sánchez, E. Q-Weibull distribution to explain the PM2.5 air pollution concentration in Santiago de Chile. Eur. Phys. J. B 96, 108 (2023). https://doi.org/10.1140/epjb/s10051-023-00576-1
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DOI: https://doi.org/10.1140/epjb/s10051-023-00576-1