Atmospheric aerosol compositions over the South China Sea: temporal variability and source apportionment
In order to evaluate impacts of different source emission on marine atmospheric particles over the South China Sea (SCS), major inorganic ionic concentrations (Na<sup>+</sup>, Cl<sup>−</sup>, SO<sub>4</sub><sup>2−</sup>, Ca<sup>2+</sup>, Mg...
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doaj-60f03685633e4bb9a768ad5e2ac6ef762020-11-24T22:32:24ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242017-03-011743199321410.5194/acp-17-3199-2017Atmospheric aerosol compositions over the South China Sea: temporal variability and source apportionmentH.-W. Xiao0H.-Y. Xiao1L. Luo2C.-Y. Shen3A.-M. Long4L. Chen5Z.-H. Long6D.-N. Li7Laboratory of Atmospheric Environment, Key Laboratory of Nuclear Resources and Environment (Ministry of Education), East China University of Technology, Nanchang 330013, ChinaLaboratory of Atmospheric Environment, Key Laboratory of Nuclear Resources and Environment (Ministry of Education), East China University of Technology, Nanchang 330013, ChinaLaboratory of Atmospheric Environment, Key Laboratory of Nuclear Resources and Environment (Ministry of Education), East China University of Technology, Nanchang 330013, ChinaCollege of Fisheries, Guangdong Ocean University, Zhanjiang 524088, ChinaState Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China Xisha Deep Sea Marine Environment Observation and Research Station, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Sansha 573199, ChinaXisha Deep Sea Marine Environment Observation and Research Station, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Sansha 573199, ChinaXisha Deep Sea Marine Environment Observation and Research Station, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Sansha 573199, ChinaIn order to evaluate impacts of different source emission on marine atmospheric particles over the South China Sea (SCS), major inorganic ionic concentrations (Na<sup>+</sup>, Cl<sup>−</sup>, SO<sub>4</sub><sup>2−</sup>, Ca<sup>2+</sup>, Mg<sup>2+</sup>, K<sup>+</sup>, NH<sub>4</sub><sup>+</sup> and NO<sub>3</sub><sup>−</sup>) were determined in total suspended particulates (TSPs) at Yongxing Island, from March 2014 to February 2015. The annual average concentration of TSPs was 89.6 ± 68.0 µg m<sup>−3</sup>, with 114.7 ± 82.1, 60.4 ± 27.0 and 59.5 ± 25.6 µg m<sup>−3</sup> in cool, warm and transition seasons, respectively. Cl<sup>−</sup> had the highest concentration, with an annual average of 7.73 ± 5.99 µg m<sup>−3</sup>, followed by SO<sub>4</sub><sup>2−</sup> (5.54 ± 3.65 µg m<sup>−3</sup>), Na<sup>+</sup> (4.00 ± 1.88 µg m<sup>−3</sup>), Ca<sup>2+</sup> (2.15 ± 1.54 µg m<sup>−3</sup>), NO<sub>3</sub><sup>−</sup> (1.95 ± 1.34 µg m<sup>−3</sup>), Mg<sup>2+</sup> (0.44 ± 0.33 µg m<sup>−3</sup>), K<sup>+</sup> (0.33 ± 0.22 µg m<sup>−3</sup>) and NH<sub>4</sub><sup>+</sup> (0.07 ± 0.07 µg m<sup>−3</sup>). Concentrations of TSPs and the major ions showed seasonal variations, which were higher in the cool season and lower in the warm and transition seasons. Factors of influence were wind speed, temperature, relatively humidity, rain and air mass source region. Back trajectories, concentration-weighted trajectories (CWTs), and positive matrix factorization (PMF) of chemical compositions were analyzed for source apportionment, source contribution and spatiotemporal variation of major ions. Back trajectories and CWTs showed that air masses at Yongxing Island were mainly from the northeast, southwest and southeast in the cool, warm and transition seasons, respectively. The PMF results showed that 77.4 % of Na<sup>+</sup> and 99.3 % of Cl<sup>−</sup> were from sea salt; 60.5 % of NH<sub>4</sub><sup>+</sup> was from oceanic emission. Anthropogenic sources were very important for atmospheric aerosols over the island. Secondary inorganic aerosol of SO<sub>2</sub> and NO<sub><i>x</i></sub> from fossil fuel combustion (especially coal in Chinese coastal regions) was the dominant source of NO<sub>3</sub><sup>−</sup> (69.5 %) and SO<sub>4</sub><sup>2−</sup> (57.5 %).http://www.atmos-chem-phys.net/17/3199/2017/acp-17-3199-2017.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
H.-W. Xiao H.-Y. Xiao L. Luo C.-Y. Shen A.-M. Long L. Chen Z.-H. Long D.-N. Li |
spellingShingle |
H.-W. Xiao H.-Y. Xiao L. Luo C.-Y. Shen A.-M. Long L. Chen Z.-H. Long D.-N. Li Atmospheric aerosol compositions over the South China Sea: temporal variability and source apportionment Atmospheric Chemistry and Physics |
author_facet |
H.-W. Xiao H.-Y. Xiao L. Luo C.-Y. Shen A.-M. Long L. Chen Z.-H. Long D.-N. Li |
author_sort |
H.-W. Xiao |
title |
Atmospheric aerosol compositions over the South China Sea: temporal variability and source apportionment |
title_short |
Atmospheric aerosol compositions over the South China Sea: temporal variability and source apportionment |
title_full |
Atmospheric aerosol compositions over the South China Sea: temporal variability and source apportionment |
title_fullStr |
Atmospheric aerosol compositions over the South China Sea: temporal variability and source apportionment |
title_full_unstemmed |
Atmospheric aerosol compositions over the South China Sea: temporal variability and source apportionment |
title_sort |
atmospheric aerosol compositions over the south china sea: temporal variability and source apportionment |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2017-03-01 |
description |
In order to evaluate impacts of different source emission on
marine atmospheric particles over the South China Sea (SCS), major inorganic
ionic concentrations (Na<sup>+</sup>, Cl<sup>−</sup>, SO<sub>4</sub><sup>2−</sup>, Ca<sup>2+</sup>,
Mg<sup>2+</sup>, K<sup>+</sup>, NH<sub>4</sub><sup>+</sup> and NO<sub>3</sub><sup>−</sup>) were determined in total suspended
particulates (TSPs) at Yongxing Island, from March 2014 to February
2015. The annual average concentration of TSPs was 89.6 ± 68.0 µg m<sup>−3</sup>,
with 114.7 ± 82.1, 60.4 ± 27.0 and 59.5 ± 25.6 µg m<sup>−3</sup>
in cool, warm and transition seasons, respectively.
Cl<sup>−</sup> had the highest concentration, with an annual average of 7.73 ± 5.99 µg m<sup>−3</sup>,
followed by SO<sub>4</sub><sup>2−</sup> (5.54 ± 3.65 µg m<sup>−3</sup>),
Na<sup>+</sup> (4.00 ± 1.88 µg m<sup>−3</sup>), Ca<sup>2+</sup>
(2.15 ± 1.54 µg m<sup>−3</sup>), NO<sub>3</sub><sup>−</sup>
(1.95 ± 1.34 µg m<sup>−3</sup>), Mg<sup>2+</sup> (0.44 ± 0.33 µg m<sup>−3</sup>),
K<sup>+</sup> (0.33 ± 0.22 µg m<sup>−3</sup>)
and NH<sub>4</sub><sup>+</sup> (0.07 ± 0.07 µg m<sup>−3</sup>). Concentrations of TSPs and the major ions showed seasonal
variations, which were higher in the cool season and lower in the warm and
transition seasons. Factors of influence were wind speed, temperature,
relatively humidity, rain and air mass source region. Back trajectories,
concentration-weighted trajectories (CWTs), and positive matrix factorization
(PMF) of chemical compositions were analyzed for source apportionment,
source contribution and spatiotemporal variation of major ions. Back
trajectories and CWTs showed that air masses at Yongxing Island were mainly
from the northeast, southwest and southeast in the cool, warm and
transition seasons, respectively. The PMF results showed that 77.4 % of
Na<sup>+</sup> and 99.3 % of Cl<sup>−</sup> were from sea salt; 60.5 % of
NH<sub>4</sub><sup>+</sup> was from oceanic emission. Anthropogenic sources were very
important for atmospheric aerosols over the island. Secondary inorganic
aerosol of SO<sub>2</sub> and NO<sub><i>x</i></sub> from fossil fuel combustion (especially
coal in Chinese coastal regions) was the dominant source of NO<sub>3</sub><sup>−</sup>
(69.5 %) and SO<sub>4</sub><sup>2−</sup> (57.5 %). |
url |
http://www.atmos-chem-phys.net/17/3199/2017/acp-17-3199-2017.pdf |
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