Acta Photonica Sinica, Volume. 50, Issue 12, 1201005(2021)
Doppler Lidar Retrieval of Particulate Matter Concentration Based on Statistical Regression Method
From September to October 2019, the coherent Doppler lidar observed and retrieved PM2.5, PM10 particulate concentrations in a joint observation campaign conducted at Shiyan(113.9°E, 22.7°N) of Shenzhen. Statistical regression analyzed the retrieval with lidar backscattering intensity and synchronized hybrid ambient real-time particulate monitor measurements from different heights of meteorological tower. Correlation coefficients of PM2.5, PM10 particulate concentrations intercomparisons between lidar and monitor reach more than 0.8, and that of PM2.5 is better. Hygroscopic growth factor analysis shows large particles of 2.5 μm~10 μm at 120 m and 220 m heights may have stronger hygroscopicity, while it is opposite for those at 70m height. Particle concentration inversion and intercomparison prove that Doppler lidar can be used to observe particle concentration.
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Likai CUI, Xiaoquan SONG, Yawen YANG, Jiaxin LIU, Zhenni LI, Long YUN, Mingdi ZHANG. Doppler Lidar Retrieval of Particulate Matter Concentration Based on Statistical Regression Method[J]. Acta Photonica Sinica, 2021, 50(12): 1201005
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Received: Jun. 5, 2021
Accepted: Aug. 8, 2021
Published Online: Jan. 25, 2022
The Author Email: SONG Xiaoquan (songxq@ouc.edu.cn)