Molecular distributions of dicarboxylic acids, oxocarboxylic acids and α-dicarbonyls in PM2.5 collected at the top of Mt. Tai, North China, during the wheat burning season of 2014
Molecular distributions of dicarboxylic acids, oxocarboxylic acids and α-dicarbonyls in PM2.5 collected at the top of Mt. Tai, North China, during the wheat burning season of 2014
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2014年烧麦季华北泰山山顶PM2.5中二羧酸、氧代羧酸和α-二羰基化合物的分子分布
DOI:
10.5194/acp-18-10741-2018
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发表时间:
2018-07
影响因子:
6.3
通讯作者:
Wenxing Wang
中科院分区:
文献类型:
--
作者:
Yanhong Zhu;Lingxiao Yang;Jianmin Chen;Kimitaka Kawamura;Mamiko Sato;Andreas Tilgner;Dominik van Pinxteren;Ying Chen;Likun Xue;Xinfeng Wang;Isobel J. Simpson;Hartmut Herrmann;Donald R. Blake;Wenxing Wang
. Fine particulate matter (PM2.5) samples collected at Mount
(Mt.) Tai in the North China Plain during summer 2014 were analyzed for
dicarboxylic acids and related compounds (oxocarboxylic acids and α-dicarbonyls) (DCRCs). The total concentration of DCRCs was 1050±580
and 1040±490 ng m−3 during the day and night, respectively.
Although these concentrations were about 2 times lower than similar
measurements in 2006, the concentrations reported here were about 1–13 times
higher than previous measurements in other major cities in the world.
Molecular distributions of DCRCs revealed that oxalic acid (C2) was the
dominant species (50 %), followed by succinic acid (C4) (12 %)
and malonic acid (C3) (8 %). WRF modeling revealed that Mt. Tai was
mostly in the free troposphere during the campaign and long-range transport
was a major factor governing the distributions of the measured compounds at
Mt. Tai. A majority of the samples (79 %) had comparable concentrations
during the day and night, with their day–night concentration ratios between
0.9 and 1.1. Multi-day transport was considered an important reason for the
similar concentrations. Correlation analyses of DCRCs and their gas
precursors and between C2 and sulfate indicated precursor emissions and
aqueous-phase oxidations during long-range transport also likely play an
important role, especially during the night. Source identification indicated
that anthropogenic activities followed by photochemical aging accounted for
about 60 % of the total variance and were the dominant source at Mt. Tai.
However, biomass burning was only important during the first half of the
measurement period. Measurements of potassium (K+) and DCRCs were about
2 times higher than those from the second half of the measurement period. The
concentration of levoglucosan, a biomass burning tracer, decreased by about
80 % between 2006 and 2014, indicating that biomass burning may have
decreased between 2006 and 2014.
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DOI:
10.1201/b10345-5
发表时间:
2010-11
期刊:
Encyclopedia of Autism Spectrum Disorders
影响因子:
--
作者:
Kim-Anh Lê Cao;Z. Welham
通讯作者:
Kim-Anh Lê Cao;Z. Welham
影响因子:
5
作者:
Gehui Wang;Liming Huang;Shixiang Gao;Songting Gao;Lian-sheng Wang
通讯作者:
Gehui Wang;Liming Huang;Shixiang Gao;Songting Gao;Lian-sheng Wang
DOI:
--
发表时间:
2013
期刊:
China Environmental Science
影响因子:
--
作者:
Mu Qua
通讯作者:
Mu Qua
影响因子:
8.8
作者:
M. Viana;X. Querol;A. Alastuey;J. Gil;M. Menéndez
通讯作者:
M. Viana;X. Querol;A. Alastuey;J. Gil;M. Menéndez
影响因子:
3.7
作者:
M. Timmerman
通讯作者:
M. Timmerman