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
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