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Proceedings Paper

Studies of the spatial correlation between urban aerosols and local traffic congestion using a slant angle scanning Mie lidar system
Author(s): Andrew Y. S. Cheng; Wesley S. W. Tsang; Jianhua Zhu
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Paper Abstract

A mobile volume scanning Mie Lidar has been integrated to take slant angle scan of aerosol distribution over 120 degree within 10 minutes. The Lidar system is a bi-axial design with operating wavelength of 532nm. The receiver is a compact Schmidt-Cassegrain telescope. Since the system is designed to be compact and lightweight, it could be readily fitted into a small van for field observations. This system has been deployed to study the correlation between the spatial distribution of aerosols over the urban area in Hong Kong and the conditions of local traffic congestion. The scans covered approximately a range from 1 to 4 km. From the data obtained, spatial variations were clearly observed, and the location of enhanced aerosol density correlated with areas of high traffic congestion very well. From the data, a vertical dispersion model can be verified. With the time series analysis of the distributions, one would be able to compute the time scale of the dispersion. With routine observations, the cause of aerosol variations can be better understood in the future. Thus it would lead to good suggestions in improvement of the air pollution problem in an urban city with dense population. Other potential studies that can be carried from this Lidar include the aerosol variations over a sea-land system and the internal boundary height over a complex terrain.

Paper Details

Date Published: 13 February 2001
PDF: 8 pages
Proc. SPIE 4153, Lidar Remote Sensing for Industry and Environment Monitoring, (13 February 2001); doi: 10.1117/12.417052
Show Author Affiliations
Andrew Y. S. Cheng, City Univ. of Hong Kong (Hong Kong)
Wesley S. W. Tsang, City Univ. of Hong Kong (Hong Kong)
Jianhua Zhu, City Univ. of Hong Kong (Hong Kong)


Published in SPIE Proceedings Vol. 4153:
Lidar Remote Sensing for Industry and Environment Monitoring
Upendra N. Singh; Kazuhiro Asai; Toshihiro Ogawa; Upendra N. Singh; Toshikasu Itabe; Nobuo Sugimoto, Editor(s)

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