Study of PM10 pollution using signal analysis methods

Author

Krzysztof, Siwek ; Stanislaw, Osowski ; Bartosz, Swiderski

Author_Institution

Warsaw Univ. of Technol., Warsaw, Poland

fYear

2011

fDate

25-27 July 2011

Firstpage

1

Lastpage

6

Abstract

The paper presents the study concerning the properties of the time series representing the distribution of the daily mean of PM₁₀ pollution. Applying the chosen signal analysis methods we investigate different aspects of the process of formation of the PM₁₀ pollution, including the dependencies between the pollution and environmental parameters (wind, temperature, humidity, etc), correlations between different atmospheric variables, nonlinearity of the process, etc. The results of this study are important in modeling the dynamics of the pollution creation.

Keywords

air pollution; atmospheric humidity; atmospheric techniques; atmospheric temperature; geophysical signal processing; time series; wind; PM₁₀ pollution formation; air temperature; atmospheric variables; environmental parameters; humidity; pollution creation dynamics; signal analysis method; time series; wind; Correlation; Humidity; Mathematical model; Pollution; Pollution measurement; Predictive models; Wind; PM10 pollution; correlation; nonlinearity of process;

fLanguage

English

Publisher

ieee

Conference_Titel

Nonlinear Dynamics and Synchronization (INDS) & 16th Int'l Symposium on Theoretical Electrical Engineering (ISTET), 2011 Joint 3rd Int'l Workshop on

Conference_Location

Klagenfurt

Print_ISBN

978-1-4577-0759-9

Type

conf

DOI

10.1109/INDS.2011.6024814

Filename

6024814