北京城区PM<sub>2.5</sub>不同时间尺度周期性研究

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Abstract The variation period of PM_2.5 concentration and its evolution feature in Beijing urban area were investigated using the Morlet wavelet analysis and Cross wavelet transform (XWT) method. Theobservation data of PM_2.5 concentration and meteorological elements from 2010 to 2015 were applied in this study. The results showed that there were significant periodic variations in PM_2.5 in Beijing urban, with major period of 24h, 8d and 14d. The 14d period was mainly influenced by quasi-two-week atmosphericoscillation. The 8d period was not only related to the synoptic scale of weather system, but also related to the "weekend effect" caused by human activities, in which the synoptic scale system was probably playing the leading role. There were obvious sympathetic vibrationsin PM_2.5 and average wind speed in the frequency period of 8d and 14d, and the anti-phase relationbetween them was also found. Diurnal variations of meteorological condition and anthropogenic emissions might be important factors causing the oscillation period of 24h. These oscillation periods were strongly significant in autumn and winter, because the flow patterns of lower atmosphere was more frequently influenced by strong synoptic systems. Weak oscillation in spring and summer was mainly attributedto low concentration level of PM_2.5, multiple influencing factors and intensivemeso-scale thermal circulation induced by topography. The emission reduction measuresmight bethe important factor in weakening Madden-Julian Oscillation after 2014. Although this study achieved some conclusions about oscillation period of PM_2.5 in Beijing urban and its evolution feature more measured data and other analytic methods should be verify in future.

Key words： Beijing PM_2.5 quasi-week oscillation madden-julian oscillation anthropogenic

Received: 20 May 2016

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X513

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	Articles by authors
	LI Zi-ming
	SUN Zhao-bin
	SHAO Xie
	LIAO Xiao-nong
	ZHANG Xiao-ling
	XIONG Ya-jun
	MA Xiao-hui

Cite this article:

LI Zi-ming,SUN Zhao-bin,SHAO Xie等. Using Morlet wavelet analysis to analyze multiple time scale periodically in PM_2.5 in Beijing[J]. CHINA ENVIRONMENTAL SCIENCECE, 2017, 37(2): 407-415.

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http://manu36.magtech.com.cn/Jweb_zghjkx/EN/ OR http://manu36.magtech.com.cn/Jweb_zghjkx/EN/Y2017/V37/I2/407

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