Articles | Volume 12, issue 6
Atmos. Meas. Tech., 12, 3303–3315, 2019
https://doi.org/10.5194/amt-12-3303-2019
Atmos. Meas. Tech., 12, 3303–3315, 2019
https://doi.org/10.5194/amt-12-3303-2019

Research article 21 Jun 2019

Research article | 21 Jun 2019

Relationship analysis of PM2.5 and boundary layer height using an aerosol and turbulence detection lidar

Chong Wang et al.

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Cited articles

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Bonin, T. A., Carroll, B. J., Hardesty, R. M., Brewer, W. A., Hajny, K., Salmon, O. E., and Shepson, P. B.: Doppler Lidar Observations of the Mixing Height in Indianapolis Using an Automated Composite Fuzzy Logic Approach, J. Atmos. Ocean. Tech., 35, 473–490, https://doi.org/10.1175/jtech-d-17-0159.1, 2018. 
Brooks, I. M.: Finding Boundary Layer Top: Application of a Wavelet Covariance Transform to Lidar Backscatter Profiles, J. Atmos. Ocean. Tech., 20, 1092–1105, https://doi.org/10.1175/1520-0426(2003)020<1092:fbltao>2.0.co;2, 2003. 
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Short summary
To investigate the relationship between BLH and air pollution under different conditions, a compact micro-pulse lidar integrating both direct-detection lidar and coherent Doppler wind lidar is built. Evolution of atmospheric boundary layer height (BLH), aerosol layer and fine structure in cloud base are well retrieved. Negative correlation exists between BLH and PM2.5. Different trends show that the relationship between PM2.5 and BLH should be considered in different boundary layer categories.