Paper
17 November 2014 Independent measurements of PM2.5 and PM10 in tropospheric aerosol with a multiwavelength polarization Raman lidar
Xiaoyu Yang, Yiming Zhao, Lianghai Li, Yong Yu, Lidong Wang
Author Affiliations +
Proceedings Volume 9262, Lidar Remote Sensing for Environmental Monitoring XIV; 92620E (2014) https://doi.org/10.1117/12.2068725
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China
Abstract
A new advanced scanning multi-wavelength polarization Raman lidar system has been designed and implemented. It is three transmitted wavelengths and eight receiver channels. Nd:YAG laser emits simultaneously at 355, 532, and 1064 nm. The elastically backscattered signals, again with polarization discrimination at 355 and 532 nm, the nitrogen Raman signals at 387 and 607 nm, and the water-vapor Raman signal at 407 nm are detected. Vertical profiles of the three backscatter coefficients at 355, 532, and 1064 nm, of the two extinction coefficients at 355 and 532 nm, are determined both by Klett-Fernald and Raman method. The microphysical particle parameters are retrieved from backscatter coefficients at three wavelengths and extinction coefficients at two wavelengths by regularization. We selected experimental data of typical weather from the measurement areas both Bejing and Dunhuang in different weather, e.g. cloudy, clear, haze. The experiment results were derive by inversion, and they mainly include temporal evolution of the two extinction coefficients at 355 and 532 nm, the three backscatter coefficients at 355, 532, and 1064 nm, effective radius, PM2.5, and PM10. Our aim is to study the aerosol properties directly at source in order to analyze the transportation path for pollution and dust aerosol by the temporal evolution of PM2.5 and PM10.
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Xiaoyu Yang, Yiming Zhao, Lianghai Li, Yong Yu, and Lidong Wang "Independent measurements of PM2.5 and PM10 in tropospheric aerosol with a multiwavelength polarization Raman lidar", Proc. SPIE 9262, Lidar Remote Sensing for Environmental Monitoring XIV, 92620E (17 November 2014); https://doi.org/10.1117/12.2068725
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KEYWORDS
Backscatter

LIDAR

Aerosols

Raman spectroscopy

Signal detection

Polarization

Atmospheric particles

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