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Proceedings Paper

Research on the temporal and spatial distribution characteristics of ozone based on differential absorption lidar and WRF-Chem model over the Yangtze River Delta, China
Author(s): Yan Xiang; Jianguo Liu; Yafang Cheng; Tianshu Zhang; Guangqiang Fan; Yunsheng Dong; Zhenyi Chen; Lihui Lv
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Paper Abstract

Surface ozone, an important secondary air pollutant, has become one of Chinese major atmospheric pollutants. In summer 2016,4 times of ozone heavy pollution appeared in 18 days in the Yangtze River Delta (YRD), one of Chinese most developed areas, it lasting 2 to 5 days every time, the maximum concentration reaching to 550ppb, a high concentration of ozone pollution layer with vertical and horizontal transmission showing at altitude 1-2km, which has a significant impact of near-grounded ozone pollution. It has been observed simultaneously by differential absorption lidars(DIAL). Diurnal variation in near-grounded ozone concentration of a single peak and single valley, the average minimum value is 75ppb, appearing at around 02:00 LST, and the average maximum value is 90ppb, appearing at around 12:00 LST. However, the daily ozone concentration of the upper air is not obvious. In order to obtain the temporal and spatial variation characteristics of ozone concentration in the whole YRD region and the influence of meteorological factors on ozone concentration, the WRF-Chem model is used to simulate the pollution process. The results show that the simulation results of ozone concentration are in good agreement with the lidar monitoring values, and the correlation between 300 meters on the ground reaches 0.8. The meteorological elements play an important role in the change of ozone concentration. Strong solar radiation, high temperature and low relative humidity are favorable environmental conditions for ozone pollution, while high wind speed has a diffusion effect on ground ozone, and rainfall has a good effect on ozone removal.

Paper Details

Date Published:
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Proc. SPIE 10429, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing XIII, ; doi: 10.1117/12.2281631
Show Author Affiliations
Yan Xiang, Anhui Institute of Optics and Fine Mechanics (China)
Univ. of Science and Technology of China (China)
Jianguo Liu, Anhui Institute of Optics and Fine Mechanics (China)
Yafang Cheng, Max-Planck-Institut für Chemie (Germany)
Institute for Environmental and Climate Research (China)
Tianshu Zhang, Anhui Institute of Optics and Fine Mechanics (China)
Guangqiang Fan, Anhui Institute of Optics and Fine Mechanics (China)
Yunsheng Dong, Anhui Institute of Optics and Fine Mechanics (China)
Zhenyi Chen, Anhui Institute of Optics and Fine Mechanics (China)
Lihui Lv, Anhui Institute of Optics and Fine Mechanics (China)
Univ. of Science and Technology of China (China)


Published in SPIE Proceedings Vol. 10429:
Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing XIII
Upendra N. Singh; Doina Nicoleta Nicolae, Editor(s)

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