Measurement report: Saccharide composition in atmospheric fine particulate matter during spring at the remote sites of southwest China and estimates of source contributions
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Published:2021-08-16
Issue:16
Volume:21
Page:12227-12241
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Wang Zhenzhen, Wu Di, Li Zhuoyu, Shang XiaonaORCID, Li Qing, Li Xiang, Chen Renjie, Kan Haidong, Ouyang Huiling, Tang Xu, Chen JianminORCID
Abstract
Abstract. Based on source-specific saccharide tracers, the characteristics
of biomass burning (BB) and biogenic emissions of saccharides were
investigated in three rural sites at Lincang, which is 65 % covered with forest in the southwest border of China. The total saccharides accounted for
8.4 ± 2.7 % of organic carbon (OC) and 1.6 ± 0.6 % of
PM2.5. The measured anhydrosugars accounted for 48.5 % of total
saccharides, among which levoglucosan was the most dominant species. The
high level of levoglucosan was both attributed to the local BB activities
and biomass combustion smoke transported from the neighboring regions of
Southeast Asia (Myanmar) and the northern Indian subcontinent. The measured
mono- or disaccharides and sugar alcohols accounted for 24.9 ± 8.3 %
and 26.6 ± 9.9 % of the total saccharides, respectively, and both
proved to be mostly emitted by direct biogenic volatilization from plant
material or surface soils rather than byproducts of polysaccharide breakdown
during BB processes. Five sources of saccharides were resolved by
non-negative matrix factorization (NMF) analysis, including BB, soil
microbiota, plant senescence, airborne pollen, and plant detritus with
contributions of 34.0 %, 16.0 %, 21.0 %, 23.7 %, and 5.3 %,
respectively. The results provide information on the magnitude of
levoglucosan and contributions of BB, as well as the characteristic of
biogenic saccharides, at the remote sites of southwest China, which can be
further applied to regional source apportionment models and global climate
models.
Funder
National Natural Science Foundation of China
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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