新型垂直探测资料在污染天气分析中的应用

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Abstract

A long-lasting air pollution episode was occurred in Guangzhou in early January 2017. Based on the data set of ground observation, Lidar, wind profiler and microwave radiometer, the formation mechanism of this episode was investigated and discussed from two aspects of horizontal and vertical diffusion conditions. The results showed that:(1) During the pollution process, the surface wind speed in Guangzhou area was basically northerly wind and less than 2m/s. A small wind speed layer with an average wind speed less than 2.6m/s was below 300m; The return index profile of each layer within the height of 640m in the pre-pollution period was less than 0.6, and within the 100m height was less than 0.4. (2) The correlation coefficient between surface PM_2.5 mass concentration and inversion temperature was 0.42. The average temperature during the polluted period was 167m, and the average inversion temperature was 1.08℃/100m. (3) The correlation coefficient between PM_2.5 mass concentration and the boundary layer height was -0.56, and the average boundary layer height (876m) during the clean period was approximately 1.4times higher than that of the polluted period (620m). The minimum boundary layer height during the process was 267m. The boundary layer ventilation showed a higher anti-correlation with PM_2.5 concentration (-0.61), and the average boundary layer ventilation volume (2538m²/s) during clean period was 2.2times of the polluted period (1136m²/s), indicating that the boundary layer ventilation can be more useful to characterize the degree of atmospheric pollution.

Key words： lidar wind profiler microwave radiometer air pollution Guangzhou

Received: 14 May 2018

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X513

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	Articles by authors
	HUANG Jun
	LIAO Bi-ting
	WANG Chun-lin
	Tan Hao-bo
	SHEN Zi-qi
	LAN Jing
	TANG Jing
	YUE Hai-yan

Cite this article:

HUANG Jun,LIAO Bi-ting,WANG Chun-lin等. Application of new vertical detection data in the analysis of a heavy pollution weather[J]. CHINA ENVIRONMENTAL SCIENCECE, 2019, 39(1): 92-105.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2019/V39/I1/92

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