Proceedings Paper
The analysis on temporal variation regulation and source of urban aerosol in middle China| Format | Member Price | Non-Member Price |
|---|---|---|
| $17.00 | $21.00 |
Paper Abstract
The aerosol number concentration data in 31 various bands, which was observed by the apparatus
Grimm 180 at Zhengzhou Atmospheric Constituents Station (ZACS) from the beginning of January to
the middle of July in 2006, has been classified into 3 typical scales according to 3 different volume
concentration peak values each one representing the various sources of aerosols to analyze their
temporal variation periods by the morlet-wave method. In addition, seeing the volume concentrations
of the various typical scales of aerosols as controlling factors and using the time-serials of them, the
dynamics equations of the composed system of various sources of aerosols have been established to
explain the volume concentration's varies with the meteorological factors in the Middle China.
Paper Details
Date Published: 9 October 2007
PDF: 12 pages
Proc. SPIE 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV, 66791B (9 October 2007); doi: 10.1117/12.732837
Published in SPIE Proceedings Vol. 6679:
Remote Sensing and Modeling of Ecosystems for Sustainability IV
Wei Gao; Susan L. Ustin, Editor(s)
PDF: 12 pages
Proc. SPIE 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV, 66791B (9 October 2007); doi: 10.1117/12.732837
Show Author Affiliations
Dong Chen, China Academy of Meteorological Sciences (China)
Xuefen Zhang, Atmospheric Observation Technological Ctr. of CMA (China)
Wei Deng, Henan Institute of Meteorological Science (China)
Xuefen Zhang, Atmospheric Observation Technological Ctr. of CMA (China)
Wei Deng, Henan Institute of Meteorological Science (China)
Guoliang Cao, China Academy of Meteorological Sciences (China)
Zixuan Du, Henan Institute of Meteorological Science (China)
Zixuan Du, Henan Institute of Meteorological Science (China)
Published in SPIE Proceedings Vol. 6679:
Remote Sensing and Modeling of Ecosystems for Sustainability IV
Wei Gao; Susan L. Ustin, Editor(s)
© SPIE. Terms of Use
