Using Raman lidar to detect the atmospheric boundary layer, temperature in suburb of Beijing

Min Tan; Chenbo Xie; Zhanye Zhang; Yingjian Wang

doi:10.1117/12.2311428

20 February 2018 Using Raman lidar to detect the atmospheric boundary layer, temperature in suburb of Beijing

Min Tan, Chenbo Xie, Zhanye Zhang, Yingjian Wang

Proceedings Volume 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application; 1069730 (2018) https://doi.org/10.1117/12.2311428
Event: Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 2017, Nanjing, China

Abstract

Temperature Water Vapor and Aerosols Raman Lidar has been designed for the measurement of atmospheric composition. In order to investigate characteristics of aerosol boundary layer (ABL) height in Beijing, the lidar system had been installed in the University of Chinese academy of sciences from November 2014 to January 2015 (40.41°N, 116.68°E). The data obtained by Raman lidar have been used to derive the ABL height (ABLH) based on the gradient method. A total of 15 days of haze, 27 days of pollution and 24 days of clean occurred through the entire period of observation. On haze, pollution and clean days, the average ABLH were 0.6~0.9 km, 0.9~1.3 km and 1~1.9 km, respectively. In contrast to clean days, haze days have lower ABLH, and gradient changes are faster. The measurement results show the height of ABL has a negative correlation with the concentration of surface PM. The rate of PM concentration variations increase gradually with the height of ABL in clean, pollution and haze days. the atmospheric temperature distribution is relatively stable in two hours. Temperature from 2 to 3 km altitude tends to increase gradually for the observation period.

Citation Download Citation

Min Tan, Chenbo Xie, Zhanye Zhang, and Yingjian Wang "Using Raman lidar to detect the atmospheric boundary layer, temperature in suburb of Beijing", Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 1069730 (20 February 2018); https://doi.org/10.1117/12.2311428

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