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Open AccessArticle

Regional Atmospheric Aerosol Pollution Detection Based on LiDAR Remote Sensing

State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan 430079, China
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
School of Electronic Information, Wuhan University, Wuhan 430072, China
State Grid Hubei Information & Telecommunication Co, Ltd., Wuhan 430077, China
Authors to whom correspondence should be addressed.
Remote Sens. 2019, 11(20), 2339;
Received: 21 August 2019 / Revised: 7 October 2019 / Accepted: 8 October 2019 / Published: 9 October 2019
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.
Keywords: aerosol; LiDAR; horizontal scanning; vertical and horizontal distribution aerosol; LiDAR; horizontal scanning; vertical and horizontal distribution
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MDPI and ACS Style

Ma, X.; Wang, C.; Han, G.; Ma, Y.; Li, S.; Gong, W.; Chen, J. Regional Atmospheric Aerosol Pollution Detection Based on LiDAR Remote Sensing. Remote Sens. 2019, 11, 2339.

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