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| Evolution characteristics of PM2.5 in Zhenjiang Port based on EEMD-MFDFA
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| （1. School of Safety and Environmental Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China; 2. Zhenjiang Port Group Co., Ltd., Zhenjiang, Jiangsu 212001, China)
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Abstract To quantitatively analyze the internal evolution characteristics of PM2.5 time series in Zhenjiang Port, taking 205 667 PM2.5 hour concentration series in Zhenjiang port from 2019 to 2020 as basic data, the multifractal detrended fluctuation analysis（MFDFA）method based on ensemble empirical mode decomposition（EEMD）was used. The results show that the evolution of PM2.5 concentration at each monitoring point has significant long-term persistence characteristics. The rise of PM2.5 concentration at present stage may lead to the rise of PM2.5 concentration in the future. The multifractal spectrum parameters of PM2.5 concentration at different monitoring points are different. Areas with strong multifractal characteristics should be focused on immediate prevention and control, on the contrary, long-term supervision should be paid attention to. According to the theory of self-organized criticality, the fluctuation of PM2.5 concentration at 15 monitoring points presents the characteristics of power-law distribution, which is in line with the self-organized criticality.
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Received: 05 April 2022
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