DocumentCode :
2708524
Title :
The aerosol optical properties measurement by ground remote sensing in Shanghai and Guangzhou of China
Author :
Wang, Bin ; Jiang, Hong ; Chen, Jian ; Zhou, Guomo ; Jiang, Zishan
Author_Institution :
State Key Lab. of Subtropical Forest Sci., Zhejiang Agric. & Forestry Univ., Hangzhou, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1
Lastpage :
5
Abstract :
Aerosols directly impact radiance balance of the earth by scattering and absorbing solar radiation, it remain as one of the major uncertain factors in estimating radiative forcing. The spatial and temporal characteristics of aerosol optical depth (AOD) were measured by CE-318 sun-photometer. Angstrom wavelength exponent (a) and the aerosol turbidity coefficient (P) were retrievaled in Shanghai and Guangzhou of China in 2009. The relationship between AOD and Angstrom wavelength exponent (a) in these stations also was analyzed. The results showed that there were different patterns of AOD in this urban gradient along with eastern China. The differences of AOD seasonal pattern existed in the two sites. The Angstrom wavelength exponent (a) analysis results suggested that the aerosol sizes in two stations are fine particle throughout year. We found the relationship between the aerosol optical depths and aerosol turbidity coefficient (P) was significantly close.
Keywords :
aerosols; atmospheric optics; atmospheric radiation; atmospheric techniques; light absorption; light scattering; remote sensing; AD 2009; AOD seasonal pattern; AOD spatial characteristics; AOD temporal characteristics; Angstrom wavelength exponent; CE-318 sun photometer; China; Guangzhou; Shanghai; aerosol optical depth; aerosol optical properties measurement; aerosol turbidity coefficient; ground remote sensing; radiance balance; radiative forcing; solar radiation absorption; solar radiation scattering; Aerosols; Biomedical optical imaging; Meteorology; Optical scattering; Optical sensors; Optical variables control; Optical variables measurement; AOD; Aerosol; China; remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
ISSN :
2161-024X
Print_ISBN :
978-1-61284-849-5
Type :
conf
DOI :
10.1109/GeoInformatics.2011.5980828
Filename :
5980828
Link To Document :
بازگشت