Evolution Mechanism of Atmospheric Pollution Based on Phase Reconstruction Theory and Time Series Data

Evolution Mechanism of Atmospheric Pollution Based on Phase Reconstruction Theory and Time Series Data

Guo-Feng Fan, Meng Han, Ya-Ting Wang, Jing-Ru Li
Copyright: © 2017 |Pages: 10
DOI: 10.4018/IJAEC.2017100104
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Abstract

This article applies a delay method and recursive analysis to reconstruct the phase space to study the evolution mechanism of atmospheric pollution, i.e., air quality monitoring. Based on the theory of chaos, it is proven that there are chaotic characteristics of factors influencing air quality. In the meanwhile, the phase space reconstruction algorithm is employed to map the factors that affect the air quality into the high dimensional space, and then, gives its two-dimensional plane, the chaotic characteristics of each influencing factor are eventually proven. The results of the study not only analyze the evolution mechanism of air pollution in recent years, but also provide a theoretical support for the future of air pollution remediation.
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2. Data Sources And Theoretical Methods

The economy of Henan is mainly concentrated in five industrial cities, such as Zheng Zhou City (the provincial capital of Henan Province), Luo Yang City, An Yang City, Jiao Zuo City, and Ping Ding Shan City. Therefore, to deeply understand the chaotic characteristics of air pollution system in Henan Province, it is feasible to collect the air pollution data from these five cities. In this paper, the air pollution data is collected from February 2011 to September 2017 in five cities which exactly represent five positions throughout Henan Province: Jiao Zuo (Eastern), Luo Yang (Western), Ping Ding Shan (Southern), Zheng Zhou (Central), and An Yang (Northern). The characteristics and causes of air pollution data are analyzed, the nonlinear equation of PM2.5 is eventually constructed.

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