Issue |
Europhys. Lett.
Volume 40, Number 6, December II 1997
|
|
---|---|---|
Page(s) | 589 - 594 | |
Section | General | |
DOI | https://doi.org/10.1209/epl/i1997-00504-y | |
Published online | 01 September 2002 |
Searching for low dimensionality in air pollution time series
Istituto Nazionale per la Fisica della Materia,
Dipartimento Scienze Fisiche Università di Napoli "Federico II" -
Mostra d'Oltremare, Pad. 20, 80125 Napoli, Italy
Received:
6
January
1997
Accepted:
6
November
1997
Time series of atmospheric pollutants (, CO and
) 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.
PACS: 02.50.-r – Probability theory, stochastic processes, and statistics / 05.45.+b – Theory and models of chaotic systems / 92.60.Sz – Air quality and air pollution
© EDP Sciences, 1997
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