文档介绍：The Temporal Variation of PM10 Pollution Indexes:
Fractal and Multifractal Aspects
Shi Kai, Liu Chun-Qiong, Su Yin, Liang Yong
(College of Biology and Environmental Sciences, Jishou University)
Jishou, Hunan, 416000, China
e-mail: einboplure@
Abstract—Monofractal and multifractal methods have been used continue our study to investigate the temporal evolution
to characterize the temporal fluctuations of PM10 pollution dynamics of PM10 pollution indexes. We consider that
indexes in Shanghai. It shows that the daily PM10 pollution introducing a kind of variable window sizes method can attain
indexes in Shanghai are characterized by self-similarity, scale this objective. The time series window sizes will gradually
invariance, long range dependence and multifractal scaling.
increase, corresponding to the temporal evolution of PM10
Introducing a set of variable window sizes, we analyze the pollution indexes. At the same time, the monofractal or
temporal evolution of the monofractal and multifractal multifractal characteristics of these variable time series
behaviors of the daily PM10 pollution indexes. Some information
windows, which contain information about evolution of PM10
about the temporal evolution dynamics of PM10 pollution indexes pollution indexes, maybe change. Thus, putations of
is revealed. Our study suggests that the variab