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Featured researches published by Guangqiang Fan.


Scientific Reports | 2017

Characterization of ozone in the lower troposphere during the 2016 G20 conference in Hangzhou

Wenjing Su; Cheng Liu; Qihou Hu; Guangqiang Fan; Zhouqing Xie; Xin Huang; Zhang Ts; Zhenyi Chen; Yunsheng Dong; Xiangguang Ji; Haoran Liu; Zhuang Wang; Jianguo Liu

Recently, atmospheric ozone pollution has demonstrated an aggravating tendency in China. To date, most research about atmospheric ozone has been confined near the surface, and an understanding of the vertical ozone structure is limited. During the 2016 G20 conference, strict emission control measures were implemented in Hangzhou, a megacity in the Yangtze River Delta, and its surrounding regions. Here, we monitored the vertical profiles of ozone concentration and aerosol extinction coefficients in the lower troposphere using an ozone lidar, in addition to the vertical column densities (VCDs) of ozone and its precursors in the troposphere through satellite-based remote sensing. The ozone concentrations reached a peak near the top of the boundary layer. During the control period, the aerosol extinction coefficients in the lower lidar layer decreased significantly; however, the ozone concentration fluctuated frequently with two pollution episodes and one clean episode. The sensitivity of ozone production was mostly within VOC-limited or transition regimes, but entered a NOx-limited regime due to a substantial decline of NOx during the clean episode. Temporary measures took no immediate effect on ozone pollution in the boundary layer; instead, meteorological conditions like air mass sources and solar radiation intensities dominated the variations in the ozone concentration.


Science of The Total Environment | 2018

Scanning vertical distributions of typical aerosols along the Yangtze River using elastic lidar

Shidong Fan; Cheng Liu; Zhouqing Xie; Yunsheng Dong; Qihou Hu; Guangqiang Fan; Zhengyi Chen; Zhang Ts; Jingbo Duan; Pengfei Zhang; Jianguo Liu

In recent years, China has experienced heavy air pollution, especially haze caused by particulate matter (PM). The compositions, horizontal distributions, transport, and chemical formation mechanisms of PM and its precursors have been widely investigated in China based on near-ground measurements. However, the understanding of the distributions and physical and chemical processes of PM in the vertical direction remains limited. In this study, an elastic lidar was employed to investigate the vertical profiles of aerosols along the Yangtze River during the Yangtze River Campaign of winter 2015. Some typical aerosols were identified and some events were analyzed in three cases. Dust aerosols can be transported from the Gobi Desert to the Yangtze River basin across a long distance at both low and high altitudes in early December. The transport route was perpendicular to the ship track, suggesting that the dust aerosols may have affected a large area. Moreover, during transport, some dust was also affected by the areas below its transport route since some anthropogenic pollutants were mixed with the dust and changed some of its optical properties. Biomass-burning aerosols covering a distant range along the Yangtze River were identified. This result directly shows the impact areas of biomass-burning aerosols in some agricultural fields. Some directly emitted aerosol plumes were observed, and direct effects of such plumes were limited both temporally and spatially. In addition, an aerosol plume with very low linear depolarization ratios, probably formed through secondary processes, was also observed. These results can help us better understand aerosols in large spatial scales in China and can be useful to regional haze studies.


Light, Energy and the Environment 2015 (2015), paper EM3A.6 | 2015

Retrieval of PM2.5 Concentration from Lidar Data

Yan Xiang; Tianshu Zhang; Xue S. Zhao; Jianguo Liu; Yun S. Dong; Guangqiang Fan; Yang Liu

Using linear and exponential models retrieves PM2.5 concentration based on extinction coefficient from 355 nm lidar. The results of experiment shows that the models are believed to retrieve the PM2.5 concentration as relative humidity is below 80%.


Journal of meteorological research | 2018

Vertical Distribution Characteristics of PM 2.5 Observed by a Mobile Vehicle Lidar in Tianjin, China in 2016

Lihui Lyu; Yunsheng Dong; Tianshu Zhang; Cheng Liu; Wenqing Liu; Zhouqing Xie; Yan Xiang; Yi Zhang; Zhenyi Chen; Guangqiang Fan; Leibo Zhang; Yang Liu; Yuchen Shi; Xiaowen Shu

We present mobile vehicle lidar observations in Tianjin, China during the spring, summer, and winter of 2016. Mobile observations were carried out along the city border road of Tianjin to obtain the vertical distribution characteristics of PM2.5. Hygroscopic growth was not considered since relative humidity was less than 60% during the observation experiments. PM2.5 profile was obtained with the linear regression equation between the particle extinction coefficient and PM2.5 mass concentration. In spring, the vertical distribution of PM2.5 exhibited a hierarchical structure. In addition to a layer of particles that gathered near the ground, a portion of particles floated at 0.6–2.5-km height. In summer and winter, the fine particles basically gathered below 1 km near the ground. In spring and summer, the concentration of fine particles in the south was higher than that in the north because of the influence of south wind. In winter, the distribution of fine particles was opposite to that measured during spring and summer. High concentrations of PM2.5 were observed in the rural areas of North Tianjin with a maximum of 350 μg m–3 on 13 December 2016. It is shown that industrial and ship emissions in spring and summer and coal combustion in winter were the major sources of fine particles that polluted Tianjin. The results provide insights into the mechanisms of haze formation and the effects of meteorological conditions during haze–fog pollution episodes in the Tianjin area.


International Symposium on Optoelectronic Technology and Application 2014: Optical Remote Sensing Technology and Applications | 2014

The design and study of a new micropulse Lidar

Lihui Lü; Wenqing Liu; Zhang Ts; Yihuai Lu; Yunsheng Dong; Zhenyi Chen; Guangqiang Fan; Shaoshuai Qi

Micro pulse lidar(MPL) is an effective tool for atmospheric aerosol and cloud detecting. In order to make the structure of the micro pulse lidar more compact, solve the problem that it always very difficult to adjust the transmitting and receiving optical paths to parallel in the traditional system, avoid the influence of the geometric overlap factor and reduce the complexity of the data processing, Anhui institute of optics and fine mechanics of the Chinese academy of sciences designs a new type of micro pulse lidar, particularly designs the followed up optical unit of the micro pulse lidar. A combination of emitting and receiving fibers in a signal bundle changes the structure of the subsequent optical unit in the traditional system to make the transmitting and receiving optical paths coaxial. The public end of the Y type optical fiber bundle is composed of a transmitting optical fiber in the center and eight receiving optical fibers in the periphery. After a brief introduction of the new system, the key parameters of the new micro pulse lidar system and the Y type optical fiber bundle were described in some detail. In order to verify the feasibility of the new structure of the micro pulse lidar system, a continuous observation experiment was carried out in Hefei area to detect the horizontal distribution of the atmospheric aerosol and pollutions. The data measured in the experiment in the November 2013 was processed with Fernald method and the profile of the atmospheric aerosol horizontal extinction coefficient distribution was inverted. The data inversion results showed that: the data acquired by the new lidar system and the extinction coefficient distribution inverted by Fernald algorithm are all very reasonable, and the time-space distribution of atmospheric aerosols extinction coefficient can reflect the distribution of the atmospheric aerosol and pollutions near the ground effectively. All of the experiment results indicate that the design of the new micro pulse lidar system is effective.


Atmospheric Chemistry and Physics | 2017

Observations of the vertical distributions of summertime atmospheric pollutants and the corresponding ozone production in Shanghai, China

Chengzhi Xing; Cheng Liu; Shanshan Wang; Ka Lok Chan; Yang Gao; Xin Huang; Wenjing Su; Chengxin Zhang; Yunsheng Dong; Guangqiang Fan; Zhang Ts; Zhenyi Chen; Qihou Hu; Hang Su; Zhouqing Xie; Jianguo Liu


Atmospheric Environment | 2017

Observations of particle extinction, PM2.5 mass concentration profile and flux in north China based on mobile lidar technique

Lihui Lv; Wenqing Liu; Tianshu Zhang; Zhenyi Chen; Yunsheng Dong; Guangqiang Fan; Yan Xiang; Yawei Yao; Nan Yang; Baolin Chu; Man Teng; Xiaowen Shu


Chinese Optics Letters | 2016

Application of mobile vehicle lidar for urban air pollution monitoring

Lihui Lv; Wenqing Liu; Guangqiang Fan; Zhang Ts; Yunsheng Dong; Zhenyi Chen; Yang Liu; Haoyun Huang; and Yang Zhou


Atmospheric Chemistry and Physics | 2017

Observations of the summertime atmospheric pollutants vertical distributions and the corresponding ozone production in Shanghai, China

Chengzhi Xing; Cheng Liu; Shanshan Wang; Ka Lok Chan; Yang Gao; Xin Huang; Wenjing Su; Chengxin Zhang; Yunsheng Dong; Guangqiang Fan; Zhang Ts; Zhenyi Chen; Qihou Hu; Hang Su; Zhouqing Xie; Jianguo Liu


Spectroscopy and Spectral Analysis | 2012

A new retrieval method for ozone concentration at the troposphere based on differential absorption lidar

Guangqiang Fan; Jianguo Liu; Liu Wq; Lu Yh; Zhang Ts; Dong Ys; Zhao Xs

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Yunsheng Dong

Chinese Academy of Sciences

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Zhang Ts

Chinese Academy of Sciences

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Jianguo Liu

Chinese Academy of Sciences

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Zhenyi Chen

Chinese Academy of Sciences

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Cheng Liu

Chinese Academy of Sciences

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Zhouqing Xie

Chinese Academy of Sciences

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Qihou Hu

Chinese Academy of Sciences

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Wenqing Liu

Chinese Academy of Sciences

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Tianshu Zhang

Chinese Academy of Sciences

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Wenjing Su

University of Science and Technology of China

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