The Temporal Variation of PM10 Pollution Indexes: Fractal and Multifractal Aspects

Monofractal and multifractal methods have been used to characterize the temporal fluctuations of PM₁₀ pollution indexes in Shanghai. It shows that the daily PM₁₀ pollution indexes in Shanghai are characterized by self-similarity, scale invariance, long range dependence and multifractal scaling. Introducing a set of variable window sizes, we analyze the temporal evolution of the monofractal and multifractal behaviors of the daily PM₁₀ pollution indexes. Some information about the temporal evolution dynamics of PM₁₀ pollution indexes is revealed. Our study suggests that the variable window sizes method can be help to the analysis of air pollution time series temporal evolution dynamical mechanisms.