Optical and hygroscopic properties of Asian dust particles based on a horizontal Mie lidar: case study at Hefei, China

Bo, Guangyu; Xu, Chaoliang; Li, Aiyue; Wang, Yanfei; Chen, Haiyan; Jiang, Yuqiang

doi:10.3788/col201715.020102

Chin. Opt. Lett.

2017

DOI: 10.3788/col201715.020102

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Optical and hygroscopic properties of Asian dust particles based on a horizontal Mie lidar: case study at Hefei, China

Guangyu Bo

Chaoliang Xu

Aiyue Li

et al.

Abstract: As an extension of the Mie lidar technique to measure the extinction coefficient of the surface particles, a horizontally pointing Mie lidar is used for determining the optical properties of Asian dust, which is an approach without knowing the actual lidar ratio. A long lasting dust event is observed based on this approach in May 2014. The "no dust," "pure dust," and "polluted dust" stage is observed during this event, and their optical and hygroscopic properties are discussed. Some new optical and hygroscopic… Show more

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Cited by 2 publications

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Observation and Inversion of Aerosol Particle Size Distribution over Yinchuan Area

Mao

Ren

et al. 2021

Atmosphere

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Particle size distribution is one of the important microphysical parameters to characterize the aerosol properties. The aerosol optical depth is used as the function of wavelength to study the particle size distribution of whole atmospheric column. However, the inversion equation of the particle size distribution from the aerosol optical depth belongs to the Fredholm integral equation of the first kind, which is usually ill-conditioned. To overcome this drawback, the integral equation is first discretized directly by using the complex trapezoid formula. Then, the corresponding parameters are selected by the L curve method. Finally the truncated singular value decomposition regularization method is employed to regularize the discrete equation and retrieve the particle size distribution. To verify the feasibility of the algorithm, the aerosol optical depths taken by a sun photometer CE318 over Yinchuan area in four seasons, as well as hazy, sunny, floating dusty and blowing dusty days, were used to retrieve the particle size distribution. In order to verify the effect of truncated singular value decomposition algorithm, the Tikhonov regularization algorithm was also adopted to retrieve the aerosol PSD. By comparing the errors of the two regularizations, the truncated singular value decomposition regularization algorithm has a better retrieval effect. Moreover, to understand intuitively the sources of aerosol particles, the backward trajectory was used to track the source. The experiment results show that the truncated singular value decomposition regularization method is an effective method to retrieve the particle size distribution from aerosol optical depth.

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Observation and Inversion of Aerosol Particle Size Distribution over Yinchuan Area

Mao

Ren

et al. 2021

Atmosphere

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Regional Atmospheric Aerosol Pollution Detection Based on LiDAR Remote Sensing

Wang

Han

et al. 2019

Remote Sensing

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Atmospheric aerosol is one of the major factors that cause environmental pollution. Light detection and ranging (LiDAR) is an effective remote sensing tool for aerosol observation. In order to provide a comprehensive understanding of the aerosol pollution from the physical perspective, this study investigated regional atmospheric aerosol pollution through the integration of measurements, including LiDAR, satellite, and ground station observations and combined the backward trajectory tracking model. First, the horizontal distribution of atmospheric aerosol wa obtained by a whole-day working scanning micro-pulse LiDAR placed on a residential building roof. Another micro-pulse LiDAR was arranged at a distance from the scanning LiDAR to provide the vertical distribution information of aerosol. A new method combining the slope and Fernald methods was then proposed for the retrieval of the horizontal aerosol extinction coefficient. Finally, whole-day data, including the LiDAR data, the satellite remote sensing data, meteorological data, and backward trajectory tracking model, were selected to reveal the vertical and horizontal distribution characteristics of aerosol pollution and to provide some evidence of the potential pollution sources in the regional area. Results showed that the aerosol pollutants in the district on this specific day were mainly produced locally and distributed below 2.0 km. Six areas with high aerosol concentration were detected in the scanning area, showing that the aerosol pollution was mainly obtained from local life, transportation, and industrial activities. Correlation analysis with the particulate matter data of the ground air quality national control station verified the accuracy of the LiDAR detection results and revealed the effectiveness of LiDAR detection of atmospheric aerosol pollution.

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Optical and hygroscopic properties of Asian dust particles based on a horizontal Mie lidar: case study at Hefei, China

Cited by 2 publications

References 12 publications

Observation and Inversion of Aerosol Particle Size Distribution over Yinchuan Area

Observation and Inversion of Aerosol Particle Size Distribution over Yinchuan Area

Regional Atmospheric Aerosol Pollution Detection Based on LiDAR Remote Sensing

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