Multiscale ensemble empirical mode decomposition and
multifractal approach of PM2.5 evolution in
Changsha-Zhuzhou-Xiangtan Urban Agglomeration

Abstract

Abstract: To analyze the multi-scale characteristics of PM2:5 in Changsha-Zhuzhou-Xiangtan region, China, and explain the main dynamic mechanism of PM2:5 evolution, a novel ensemble empirical mode decomposition and multifractal detrended fluctuation analysis (EEMD-MFDFA) model is proposed, and then the dynamic evolution of PM2:5 hourly average concentrations in Xiangtan, Changsha and Zhuzhou from January 1, 2015 to December 31, 2019 is studied. Through EEMD, the high-frequency modes and trend terms of PM2:5 are obtained for the three cities. The results of the trend term show a decreasing trend of PM2:5 concentrations, and the high-frequency mode of PM2:5 reflects the nonlinear characteristics of PM2:5 concentration fluctuation. Furthermore, MFDFA method is used to analyze the high-frequency cumulative mode of PM2:5. The results indicate that the high-frequency mode of PM2:5 has strong multifractal characteristics. In addition, the main sources of multifractal characteristics are studied by using shuffling procedure and phase randomization. The results indicate that the long-term persistence of PM2:5 concentration fluctuation in different time scales is the main dynamic factor for the emergence of high concentration PM2:5. Finally, the influence of meteorological conditions on the multifractal strength of high-frequency modes of PM2:5 is discussed. The results show that the multifractal strength of PM2:5 in winter was stronger than that in other seasons. The analysis shows that although the air pollution in Changsha-Zhuzhou-Xiangtan Urban Agglomeration has been effectively controlled through the air pollution action plan, in winter, the long-term persistence mechanism of air pollution plays a more dominant role in controlling the PM2:5 evolutions, and the non-linear long-term persistent mechanism of PM2:5 at different time scales can lead to the risk of emergence of high concentration PM2:5 in winter, and even more serious air pollution events. The results have great significance for studying the dynamic characteristics of regional PM2:5 multi-scale evolution and forecasting haze.

Key words: PM2:5, ensemble empirical mode decomposition, multifractal detrended fluctuation analysis, highfrequency modes, multifractal, long-term persistence

CLC Number:

X513

DU Juan, LIU Chunqiong, WU Bo, ZHANG Jiao, HUANG Yi, SHI Kai∗. Multiscale ensemble empirical mode decomposition and multifractal approach of PM2.5 evolution in Changsha-Zhuzhou-Xiangtan Urban Agglomeration[J]. Journal of Atmospheric and Environmental Optics, 2022, 17(3): 304-316.

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Multiscale ensemble empirical mode decomposition and multifractal approach of PM2.5 evolution in Changsha-Zhuzhou-Xiangtan Urban Agglomeration

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