DocumentCode
494373
Title
Study of Characteristics of Black Carbon Aerosol and Atmospheric Particles over the Lhasa Area of China
Author
Gao, Runxiang ; Niu, Shengjie ; Xu, Xiaofeng ; Xu, Mei ; Zhang, Hua
Author_Institution
Coll. of Atmos. Phys., NUIST, Nanjing
Volume
1
fYear
2008
fDate
21-22 Dec. 2008
Firstpage
381
Lastpage
384
Abstract
Statistical analysis is performed of observed concentrations of black carbon aerosol (BC for short hereafter), PM10, PM2.5 and PM1 (collectively called atmospheric particles hereinafter, when possible) made in 2006 over the Lhasa area of China, leading to some aspects of their variations in, and inherent correlativity between, atmospheric particles and BC there. Results suggest that the monthly mean mass concentration of BC and the atmospheric particles display a single valley form, with the biggest concentration in winter; the relative annual ranges show BC (PM10) to be smallest (largest); moist scavenging plays an important role in the variation of BC and the atmospheric particles; BC and these particles exhibit a bi-peak and bi-valley distribution for their daily change in mass concentration, with the peaks emerging in the morning and late in the evening. The correlativity analysis indicates that the BC and the atmospheric particles of the Lhasa region have the same emitting sources, with BC being the smaller-size particles.
Keywords
aerosols; carbon; statistical analysis; Lhasa area; PM1; PM10; PM2.5; atmospheric particles; bi-peak distribution; bi-valley distribution; black carbon aerosol; monthly mean mass concentration; statistical analysis; Aerosols; Atmospheric modeling; Carbon dioxide; Cities and towns; Educational institutions; Educational technology; Geoscience and remote sensing; Physics education; Pollution; Springs; Lhasa; atmospheric particles; black carbon aerosol;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3563-0
Type
conf
DOI
10.1109/ETTandGRS.2008.107
Filename
5070176
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