Structural Characteristics of Particulate Matter Time Series Observed in an Urban Environment

Keywords:
Particulate Matter, Time Series Analysis, Multiscale Multifractal Analysis.

Abstract:
In this study, we used the fractal and multifractal analysis to explore the structural characteristics of РМ10 time series, among which self-similarity and invariance can be considered particularly important. The eXtreme Gradient Boosting method was used to fill in the missing data for multiscale multifractal analysis. The analysis has revealed self-similarity in РМ10 time series with a positively correlated structure which was stable over a study period. Small fluctuations of РМ10 levels were observed as a result of variations in local emissions and meteorological conditions. The uncoordinated and uncorrelated intervals in concentration time series were observed as a consequence of occasional pollution events in the areas dominated by industrial activities or as a consequence of the remote emission source activity when wind direction and speed were favorable.

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G. Jovanović, S. Stanišić, M. Perišić, A. Stojić, “Structural Characteristics of Particulate Matter Time Series Observed in an Urban Environment,” in Sinteza 2021 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2021, pp. 98-101. doi:10.15308/Sinteza-2021-98-101

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Jovanović, G., Stanišić, S., Perišić, M., Stojić, A. (2021). Structural Characteristics of Particulate Matter Time Series Observed in an Urban Environment. Paper presented at Sinteza 2021 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2021-98-101

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