Self-Organized Criticality: Emergent Complex Behavior in PM10Pollution

[摘要] We analyze long-term time series of daily average PM10concentrations in Chengdu city. Detrended fluctuation analysis of the time series shows long range correlation at one-year temporal scale. Spectral analysis of the time series indicates 1/fnoise behavior. The probability distribution functions of PM10concentrations fluctuation have a scale-invariant structure. Why do the complex structures of PM10concentrations evolution exhibit scale-invariant? We consider that these complex dynamical characteristics can be recognized as the footprint of self-organized criticality (SOC). Based on the theory of self-organized criticality, a simplified sandpile model for PM10pollution with a nondimensional formalism is put forward. Our model can give a good prediction of scale-invariant in PM10evolution. A qualitative explanation of the complex dynamics observed in PM10evolution is suggested. The work supports the proposal that PM10evolution acts as a SOC process on calm weather. New theory suggests one way to understand the origin of complex dynamical characteristics in PM10pollution.

[学科分类] 地质学