Airborne measurements of the spatial and spectral distributions of aerosol particles over Hebei area, northern China

Yan Yin; Ying Duan; Yu Zhang; Lixin Shi; Zhengqing Yang; Zhihui Wu; Yunchuan Li

doi:10.1117/12.836797

10 July 2009 Airborne measurements of the spatial and spectral distributions of aerosol particles over Hebei area, northern China

Yan Yin, Ying Duan, Yu Zhang, Lixin Shi, Zhengqing Yang, Zhihui Wu, Yunchuan Li

Author Affiliations +

Proceedings Volume 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 74900X (2009) https://doi.org/10.1117/12.836797
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China

Abstract

Airborne measurements of the concentration and size distribution of aerosol particles over Hebei area, northern China, are analyzed. The preliminary results show that, depending on the meteorological situations, the maximum mean number concentration of aerosol particles ranges from 5000 to 10⁵ cm^-3 near the ground and decreases exponentially to 1500- 3500 cm^-3 above the boundary layer. It is also found that particle size distributions are the broadest close to the surface and become narrower with increasing height. The particle size distributions can be fitted with three or four lognormal distribution functions. Besides the emission rate and the distance from the source region, the results indicate that aerosol particle size is to a large extent dependent on the ambient atmospheric conditions such as humidity, and the presence of temperature inversion layers and cloud layers. Higher humidity and the presence of cloud layers may enhance particle growth and lead to larger particle size due to condensation and gas to particle conversion.m

Citation Download Citation

Yan Yin, Ying Duan, Yu Zhang, Lixin Shi, Zhengqing Yang, Zhihui Wu, and Yunchuan Li "Airborne measurements of the spatial and spectral distributions of aerosol particles over Hebei area, northern China", Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 74900X (10 July 2009); https://doi.org/10.1117/12.836797

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