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Chaos in Air Pollutant Concentration (APC) Time Series
2008
Aerosol and Air Quality Research
Three chaotic indicators, namely the correlation dimension, the Lyapunov exponent, and the Kolmogorov entropy, are estimated for one-year long hourly average NO (nitrogen monoxide), CO (carbon monoxide), SO 2 (sulfur dioxide), PM 10 (particles with an aerodynamic diameter of approximately 10 μm or less), and NO 2 (nitrogen dioxide) concentration to examine the possible chaotic characteristics in the air pollutant concentration (APC) time series. The presence of chaos in the examined APC time
doi:10.4209/aaqr.2008.09.0039
fatcat:hkod67oelvgdrhxaw76jccvcda