Time series of atmospheric pollutants (NOx, CO and O3) have been analyzed and the possible presence of low-dimensional chaos has been checked. The analysis has been performed by exploiting the concept of short-term predictability of chaotic systems. Although the time series exhibit statistical characteristics which mimic those typically explained by complex systems, no sign of chaos has been evidenced.
Searching for low dimensionality in air pollution time series
Lanfredi M;
1997
Abstract
Time series of atmospheric pollutants (NOx, CO and O3) have been analyzed and the possible presence of low-dimensional chaos has been checked. The analysis has been performed by exploiting the concept of short-term predictability of chaotic systems. Although the time series exhibit statistical characteristics which mimic those typically explained by complex systems, no sign of chaos has been evidenced.File in questo prodotto:
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