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Proceedings Paper

Influence of sanddust activities in the Hexi Corridor on the PM10 concentration in Lanzhou and its assessment
Author(s): Jianhong Tao; Yuxia Huang; Dengrong Lu; Jianyun Gao; Jiangjin Lv
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Paper Abstract

Analyses and assessment on the influence of sanddust activities in the Hexi Corridor on the PM10 concentration in Lanzhou city from 2001 to 2005 lead to the following conclusions of this paper. Lanzhou PM10 concentrations (LPC) possess a double-peak annual distributive character with one peak in December and the other in next March both in the same winter half-year, however, the number of the sanddust activities in the corridor shows a single-peak annual variation with the peak in April (9.8 times/month). It is known from comparing the distributions of the both that the peak value of the number of Hexi sanddust activities (HSA) corresponds to the sub-peak of LPCs in spring, and it is held that the winter particular boundary layer condition is mainly responsible for the peak of LPC in December. The number of spring HSA is positively/significantly correlated with the LPC in the same time period, i.e. the frequent period of HSA corresponds to the sub-peak period of LPCs. The quantitative analyses of sanddust indices indicate that 15.7 %, 37.8%, and 49.5% of the annual, march, April LPCs are associated with the impact of HSAs, respectively, and 8%, 12.7%, 19.8% of the annual, march, April LPCs arise from the PM10 particles transfer of HSAs. The HSAs lead to the multiplication of the LPC in successive impacting day, but the impacting extent is different in different time periods.

Paper Details

Date Published: 1 September 2006
PDF: 7 pages
Proc. SPIE 6299, Remote Sensing of Aerosol and Chemical Gases, Model Simulation/Assimilation, and Applications to Air Quality, 62990U (1 September 2006); doi: 10.1117/12.678672
Show Author Affiliations
Jianhong Tao, Lanzhou Ctr. Meteorological Observatory (China)
Yuxia Huang, Lanzhou Ctr. Meteorological Observatory (China)
Dengrong Lu, Gansu Meteorological Information Ctr. (China)
Jianyun Gao, Fujian Specialized Meteorological Observatory (China)
Jiangjin Lv, Tianjin Municipal Meteorological Bureau (China)


Published in SPIE Proceedings Vol. 6299:
Remote Sensing of Aerosol and Chemical Gases, Model Simulation/Assimilation, and Applications to Air Quality
Allen Chu; James Szykman; Shobha Kondragunta, Editor(s)

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