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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/amt-2018-406
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2018-406
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 12 Feb 2019

Research article | 12 Feb 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).

Relationship Analysis of PM2.5 and BLH using Aerosol and Turbulence Detection Lidar

Chong Wang1,2,*, Mingjiao Jia2,*, Haiyun Xia1,2, Yunbin Wu1, Tianwen Wei1, Xiang Shang1, Chengyun Yang1, Xianghui Xue1,2, and Xiankang Dou1,3 Chong Wang et al.
  • 1CAS Key Laboratory of Geospace Environment, University of Science and Technology of China, Hefei, 230026, China
  • 2Glory China Quantum Lidar Co. Ltd., Shanghai, 201315, China
  • 3School of Electronic Information, Wuhan University, Wuhan, 430072, China
  • *These authors contributed equally to this work.

Abstract. The atmospheric boundary layer height (BLH) is a key parameter in weather forecast and air quality prediction. To investigate the relationship between BLH and air pollution under different conditions, a compact micro-pulse lidar integrated both direct detection lidar (DDL) and coherent Doppler wind lidar (CDWL) is built. Then the BLH can be determined from aerosol density or vertical wind independently. During a 45-hour continuous observation in June 2018, stable boundary layer, residual layer and convective boundary layer are identified. Fine structure of aerosol layers, drizzles and vertical wind near cloudbase are also detected. In comparison, the standard deviation between BLH values derived from DDL and CDWL is 60 m, indicating the accuracy of this work. The retrieved convective BLH is a little higher than that from ERA5 reanalysis due to different retrieval methods. Negative correlation between BLH and PM2.5 is analyzed before and after a precipitation. A criterion is proposed to classify the residual layer and convective boundary layer. Different trends show that the relationship between PM2.5 and BLH should be considered in different boundary layer categories.

Chong Wang et al.
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Chong Wang et al.
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Short summary
To investigate the relationship between BLH and air pollution under different conditions, a compact micro-pulse lidar integrated both direct detection lidar and coherent Doppler wind lidar is built. Evolution of atmospheric boundary layer height (BLH), aerosol layer and fine structure in cloudbase are well retrieved. Negative correlation exists between BLH and PM22.5. Different trends show that the relationship between PM2.5 and BLH should be considered in different boundary layer categories.
To investigate the relationship between BLH and air pollution under different conditions, a...
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