Memory Behaviors of Air Pollutions and Their Spatial Patterns in China

Particulate matter (PM 2.5 and PM 10 ) ozone (O 3 are the two major air pollutants in China recent years. The fluctuations of , O strongly depend on weather processes anthropogenic emission. These may lead to existence short- long-term memory behaviors pollutants. Hence, here we use autoregressive parameter a first-order process [AR (1)] characterize short-term effects We estimate scaling exponent α using detrended fluctuation analysis (DFA) for summer winter different cities China. Our results show that have strong characteristics both winter. Furthermore, stronger than most associated with longer persistent systems In general, smaller northern those southern patterns weaker relative pollutions dominated by time scales.