COVID-19期间区域大气高污染发生的非线性动力机制

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Abstract Based on hourly concentration of PM_2.5 and O₃ during the epidemic period (January 24, 2020 to May 31, 2020) in Changsha, Zhuzhou and Xiangtan, the diurnal patterns, long-term persistence, multifractality and self-organization evolution dynamics of these two pollutants were studied to reveal the internal dynamic mechanism of the occurrence and evolution of heavy pollution events during the epidemic period. Firstly, the diurnal patterns of PM_2.5 and O₃ concentrations were investigated. It showed that O₃ showed a single peak of high concentration in the daytime and low in the night, while PM_2.5 showed a single lowest peak concentration in the day and high in the night, which was different from the pattern in non-epidemic periods. Furthermore, detrended fluctuation analysis (DFA), the multifractal detrended fluctuation analysis (MFDFA) and probability statistical analysis were applied to study the long-term persistence, multi-fractal structure of PM_2.5 and O₃ series. The results showed that PM_2.5 and O₃ series had significant long-term persistence characteristics and strong multi-fractal structures for the three cities. Meanwhile, detrended cross-correlation analysis (DCCA) and multifractal detrended cross-correlation analysis (MFDCCA) were conducted to estimate the cross-correlations between PM_2.5 and O₃ series. Long-term persistence as well as multifractal features at different time scales was also observed in PM_2.5-O₃ cross-correlations. Next, nonlinear analysis results obtained during epidemic period were compared with those obtained in the same periods of non-epidemic years of 2019 and 2018. Finally, based on the self-organized criticality (SOC) theory, the internal dynamic law of spatial and temporal evolution of PM_2.5 and O₃ series was discussed. Combined with the typical regional meteorological characteristics, it was found that the intrinsic dynamic mechanism of SOC may be one of the leading mechanisms of heavy air pollution episodes during the COVID-19 lockdown period. During the epidemic period, PM_2.5and O₃ concentrations did not evolve independently but remained complex interactions. Under the stable meteorological conditions, the nonlinear coupling effect inside the air combined pollution might reach the dynamic critical state, thus, lead to the risk of heavy air pollution in Greater Changsha Metropolitan Region during the epidemic period.

Key words： diurnal patterns long-term persistence characteristics multifractal characteristics power-law self-organized criticality PM_2.5 O₃

Received: 27 September 2020

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X513

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	Articles by authors
	WU Bo
	LIU Chun-qiong
	ZHANG Jiao
	LI Yan-hui
	CHEN Yu-bing
	WEN Ye
	BAO Bing-yi
	DU Juan
	SHI Kai

Cite this article:

WU Bo,LIU Chun-qiong,ZHANG Jiao等. Nonlinear dynamic mechanism of regional air pollution during the COVID-19 lockdown[J]. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(5): 2028-2039.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2021/V41/I5/2028

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