28 / 60
Page 61
Notes:
conferenceseries
.com
Volume 8, Issue 10 (Suppl)
J Earth Sci Clim Change, an open access
ISSN: 2157-7617
Climate Change 2017
October 19-21, 2017
CLIMATE CHANGE
October 19-21, 2017 | Rome, Italy
4
th
World Conference on
Properties of black carbon and other insoluble light-Absorbing particles in seasonal snowof northwest
China
Wei Pu
Lanzhou University, China
I
nsoluble light-absorbing particles (ILAPs), primarily black carbon (BC), organic carbon (OC), and dust, deposited on snow
can reduce snow albedo, which can significantly affect regional and global climate. Hence, understanding ILAPs content
in snow is very important for climate prediction. We conducted a large field campaign and collected 284 snow samples at
38 sites in Xinjiang Province and 6 sites in Qinghai Province across northwestern China from January to February 2012. A
spectrophotometer combined with chemical analysis was used to measure ILAPs and chemical components in seasonal snow.
The results indicate that the cleanest snow was found in northeastern Xinjiang along the border of China, and it presented an
estimated black carbon ( ) of approximately 5 ng g-1. The dirtiest snow presented a of approximately 450 ng g-1 near industrial
cities in Xinjiang. Overall, the of most of the snow samples collected in this campaign was in the range of 10-150 ng g-1.
Vertical variations in the snowpack ILAPs indicated a probable shift in emission sources with the progression of winter. An
analysis of the fractional contributions to absorption implied that organic carbon (OC) dominated the 450-nm absorption in
Qinghai, while the contributions from BC and OC were comparable in Xinjiang. Finally, a Positive Matrix Factorization (PMF)
model was run to explore the sources of particulate light absorption, and the results indicated an optimal three-factor/source
solution that included industrial pollution, biomass burning, and soil dust.
Biography
Wei Pu is a PhD candidate in Climatology. He focused on studying insoluble light-absorbing particles (ILAPs) in snow and its effect on snow albedo and subsequent
climate change. He has participated in several field campaigns to collect snow in China and has rich experiences in processing snow samples and analyzing ILAPs
content. He also has involved in the development of a snow albedo model.
puw09@lzu.edu.cnWei Pu, J Earth Sci Clim Change 2017, 8:10(Suppl)
DOI: 10.4172/2157-7617-C1-036