DocumentCode :
3383608
Title :
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
Link To Document :
بازگشت