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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 timedoi:10.4209/aaqr.2008.09.0039 fatcat:hkod67oelvgdrhxaw76jccvcda