DocumentCode
2707907
Title
Spatial-temporal variability of aerosol optical depth over the Yangtze Delta during 2001–2008
Author
Chen, Jian ; Jiang, Hong ; Xiao, Zhongyong ; Wang, Bin ; 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
4
Abstract
Aerosol optical thickness is a principal indicator to describe the atmospheric condition and the effect of aerosols on radiative transfer in the earth´s atmosphere. In this study, the distribution and seasonal variation trends of AOT over the Yangtze Delta during 2001-2008 and World Expo were studied. The results show that the MODIS AOT550 was in good agreement with data obtained from four ground-based AERONET sunphotometers (R>;0.89). AOT550 over main big cities increased gradually year by year. Seasonal variation analysis of AOT550 revealed peak values over the cities in plain regions appear in summer but those over the cities in mountainous areas appear in spring. The yearly increasing trend of AOT550 over the plain cities is larger than those over the mountainous area cities. Decrease in AOT550 over Shanghai during the World Expo was primarily was found, the reason was attributed to the reduction in coarse mode aerosol particles.
Keywords
aerosols; atmospheric optics; atmospheric techniques; photometry; radiative transfer; radiometry; remote sensing; AD 2001 to 2008; AOD spatiotemporal variability; AOT distribution trend; AOT seasonal variation trend; China; MODIS AOT550 data; Yangtze delta; aerosol effects; aerosol optical depth; aerosol optical thickness; atmospheric condition; earth atmosphere radiative transfer; ground based AERONET sunphotometer data; Aerosols; Atmospheric measurements; Cities and towns; MODIS; Optical sensors; Pollution measurement; Springs; MODIS; aerosol optical thickness; spatial pattern; sunphotometer;
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.2011.5980796
Filename
5980796
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