Seasonal variation of fine- and coarse-mode nitrates and related aerosols over East Asia: synergetic observations and chemical transport model analysis
We analyzed long-term fine- and coarse-mode synergetic observations of nitrate and related aerosols (SO<sub>4</sub><sup>2−</sup>, NO<sub>3</sub><sup>−</sup>, NH<sub>4</sub><sup>+</sup>, Na<sup>+</sup>, Ca<sup>...
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Copernicus Publications
2017-11-01
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Series: | Atmospheric Chemistry and Physics |
Online Access: | https://www.atmos-chem-phys.net/17/14181/2017/acp-17-14181-2017.pdf |
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language |
English |
format |
Article |
sources |
DOAJ |
author |
I. Uno K. Osada K. Yumimoto Z. Wang Z. Wang S. Itahashi X. Pan Y. Hara Y. Kanaya S. Yamamoto T. D. Fairlie |
spellingShingle |
I. Uno K. Osada K. Yumimoto Z. Wang Z. Wang S. Itahashi X. Pan Y. Hara Y. Kanaya S. Yamamoto T. D. Fairlie Seasonal variation of fine- and coarse-mode nitrates and related aerosols over East Asia: synergetic observations and chemical transport model analysis Atmospheric Chemistry and Physics |
author_facet |
I. Uno K. Osada K. Yumimoto Z. Wang Z. Wang S. Itahashi X. Pan Y. Hara Y. Kanaya S. Yamamoto T. D. Fairlie |
author_sort |
I. Uno |
title |
Seasonal variation of fine- and coarse-mode nitrates and related aerosols over East Asia: synergetic observations and chemical transport model analysis |
title_short |
Seasonal variation of fine- and coarse-mode nitrates and related aerosols over East Asia: synergetic observations and chemical transport model analysis |
title_full |
Seasonal variation of fine- and coarse-mode nitrates and related aerosols over East Asia: synergetic observations and chemical transport model analysis |
title_fullStr |
Seasonal variation of fine- and coarse-mode nitrates and related aerosols over East Asia: synergetic observations and chemical transport model analysis |
title_full_unstemmed |
Seasonal variation of fine- and coarse-mode nitrates and related aerosols over East Asia: synergetic observations and chemical transport model analysis |
title_sort |
seasonal variation of fine- and coarse-mode nitrates and related aerosols over east asia: synergetic observations and chemical transport model analysis |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2017-11-01 |
description |
We analyzed long-term fine- and coarse-mode synergetic observations of
nitrate and related aerosols (SO<sub>4</sub><sup>2−</sup>, NO<sub>3</sub><sup>−</sup>,
NH<sub>4</sub><sup>+</sup>, Na<sup>+</sup>, Ca<sup>2+</sup>) at Fukuoka
(33.52° N, 130.47° E) from August 2014 to October 2015. A
Goddard Earth Observing System chemical transport model (GEOS-Chem) including
dust and sea salt acid uptake processes was used to assess the observed
seasonal variation and the impact of long-range transport (LRT) from the
Asian continent. For fine aerosols (fSO<sub>4</sub><sup>2−</sup>, fNO<sub>3</sub><sup>−</sup>,
and fNH<sub>4</sub><sup>+</sup>), numerical results explained the seasonal changes,
and a sensitivity analysis excluding Japanese domestic emissions clarified
the LRT fraction at Fukuoka (85 % for fSO<sub>4</sub><sup>2−</sup>, 47 % for
fNO<sub>3</sub><sup>−</sup>, 73 % for fNH<sub>4</sub><sup>+</sup>). Observational data
confirmed that coarse NO<sub>3</sub><sup>−</sup> (cNO<sub>3</sub><sup>−</sup>) made up the
largest proportion (i.e., 40–55 %) of the total nitrate (defined as the
sum of fNO<sub>3</sub><sup>−</sup>, cNO<sub>3</sub><sup>−</sup>, and HNO<sub>3</sub>) during the
winter, while HNO<sub>3</sub> gas constituted approximately 40 % of the
total nitrate in summer and fNO<sub>3</sub><sup>−</sup> peaked during the winter.
Large-scale dust–nitrate (mainly
cNO<sub>3</sub><sup>−</sup>) outflow from China to Fukuoka was confirmed during all
dust events that occurred between January and June. The modeled
cNO<sub>3</sub><sup>−</sup> was in good agreement with observations between July and
November (mainly coming from sea salt NO<sub>3</sub><sup>−</sup>). During the winter,
however, the model underestimated cNO<sub>3</sub><sup>−</sup> levels compared to the
observed levels. The reason for this underestimation was examined
statistically using multiple regression analysis (MRA). We used
cNa<sup>+</sup>, nss-cCa<sup>2+</sup>, and cNH<sub>4</sub><sup>+</sup> as independent
variables to describe the observed cNO<sub>3</sub><sup>−</sup> levels; these variables
were considered representative of sea salt cNO<sub>3</sub><sup>−</sup>, dust
cNO<sub>3</sub><sup>−</sup>, and cNO<sub>3</sub><sup>−</sup> accompanied by
cNH<sub>4</sub><sup>+</sup>), respectively. The MRA results explained the observed
seasonal changes in dust cNO<sub>3</sub><sup>−</sup> and indicated that the
dust–acid uptake scheme
reproduced the observed dust–nitrate levels even in winter. The annual
average contributions of each component were 43 % (sea salt
cNO<sub>3</sub><sup>−</sup>), 19 % (dust cNO<sub>3</sub><sup>−</sup>), and 38 %
(cNH<sub>4</sub><sup>+</sup> term). The MRA dust–cNO<sub>3</sub><sup>−</sup> component had a
high value during the dust season, and the sea salt component made a large
contribution throughout the year. During the winter, cNH<sub>4</sub><sup>+</sup> term
made a large contribution. The model did not include aerosol microphysical
processes (such as condensation and coagulation between the fine
anthropogenic aerosols NO<sub>3</sub><sup>−</sup> and SO<sub>4</sub><sup>2−</sup> and coarse
particles), and our results suggest that inclusion of aerosol microphysical
processes is critical when studying observed cNO<sub>3</sub><sup>−</sup> formation,
especially in winter. |
url |
https://www.atmos-chem-phys.net/17/14181/2017/acp-17-14181-2017.pdf |
work_keys_str_mv |
AT iuno seasonalvariationoffineandcoarsemodenitratesandrelatedaerosolsovereastasiasynergeticobservationsandchemicaltransportmodelanalysis AT kosada seasonalvariationoffineandcoarsemodenitratesandrelatedaerosolsovereastasiasynergeticobservationsandchemicaltransportmodelanalysis AT kyumimoto seasonalvariationoffineandcoarsemodenitratesandrelatedaerosolsovereastasiasynergeticobservationsandchemicaltransportmodelanalysis AT zwang seasonalvariationoffineandcoarsemodenitratesandrelatedaerosolsovereastasiasynergeticobservationsandchemicaltransportmodelanalysis AT zwang seasonalvariationoffineandcoarsemodenitratesandrelatedaerosolsovereastasiasynergeticobservationsandchemicaltransportmodelanalysis AT sitahashi seasonalvariationoffineandcoarsemodenitratesandrelatedaerosolsovereastasiasynergeticobservationsandchemicaltransportmodelanalysis AT xpan seasonalvariationoffineandcoarsemodenitratesandrelatedaerosolsovereastasiasynergeticobservationsandchemicaltransportmodelanalysis AT yhara seasonalvariationoffineandcoarsemodenitratesandrelatedaerosolsovereastasiasynergeticobservationsandchemicaltransportmodelanalysis AT ykanaya seasonalvariationoffineandcoarsemodenitratesandrelatedaerosolsovereastasiasynergeticobservationsandchemicaltransportmodelanalysis AT syamamoto seasonalvariationoffineandcoarsemodenitratesandrelatedaerosolsovereastasiasynergeticobservationsandchemicaltransportmodelanalysis AT tdfairlie seasonalvariationoffineandcoarsemodenitratesandrelatedaerosolsovereastasiasynergeticobservationsandchemicaltransportmodelanalysis |
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spelling |
doaj-d5b5a35b88a145ea986837ec53bfb7552020-11-24T23:02:37ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242017-11-0117141811419710.5194/acp-17-14181-2017Seasonal variation of fine- and coarse-mode nitrates and related aerosols over East Asia: synergetic observations and chemical transport model analysisI. Uno0K. Osada1K. Yumimoto2Z. Wang3Z. Wang4S. Itahashi5X. Pan6Y. Hara7Y. Kanaya8S. Yamamoto9T. D. Fairlie10Research Institute for Applied Mechanics, Kyushu University, Kasuga Park 6-1, Fukuoka, 816-8580, JapanNagoya University, Graduate School of Environmental Studies, Furo-cho, Chikusa-ku, Nagoya, 464-8601, JapanResearch Institute for Applied Mechanics, Kyushu University, Kasuga Park 6-1, Fukuoka, 816-8580, JapanResearch Institute for Applied Mechanics, Kyushu University, Kasuga Park 6-1, Fukuoka, 816-8580, JapanInstitute of Atmospheric Physics, CAS, Beijing, ChinaCentral Research Institute of Electric Power Industry, Abiko, Chiba, 270-1194, JapanInstitute of Atmospheric Physics, CAS, Beijing, ChinaResearch Institute for Applied Mechanics, Kyushu University, Kasuga Park 6-1, Fukuoka, 816-8580, JapanJapan Agency for Marine-Earth Science and Technology, 3173-25 Showa-machi, Kanazawa-ku, Yokohama, 236-0001, JapanFukuoka Institute of Health and Environmental Sciences, Mukaizano 39, Dazaifu, Fukuoka 818-0135, JapanNASA, Langley Research Center, Hampton, VA 23681-0001, USAWe analyzed long-term fine- and coarse-mode synergetic observations of nitrate and related aerosols (SO<sub>4</sub><sup>2−</sup>, NO<sub>3</sub><sup>−</sup>, NH<sub>4</sub><sup>+</sup>, Na<sup>+</sup>, Ca<sup>2+</sup>) at Fukuoka (33.52° N, 130.47° E) from August 2014 to October 2015. A Goddard Earth Observing System chemical transport model (GEOS-Chem) including dust and sea salt acid uptake processes was used to assess the observed seasonal variation and the impact of long-range transport (LRT) from the Asian continent. For fine aerosols (fSO<sub>4</sub><sup>2−</sup>, fNO<sub>3</sub><sup>−</sup>, and fNH<sub>4</sub><sup>+</sup>), numerical results explained the seasonal changes, and a sensitivity analysis excluding Japanese domestic emissions clarified the LRT fraction at Fukuoka (85 % for fSO<sub>4</sub><sup>2−</sup>, 47 % for fNO<sub>3</sub><sup>−</sup>, 73 % for fNH<sub>4</sub><sup>+</sup>). Observational data confirmed that coarse NO<sub>3</sub><sup>−</sup> (cNO<sub>3</sub><sup>−</sup>) made up the largest proportion (i.e., 40–55 %) of the total nitrate (defined as the sum of fNO<sub>3</sub><sup>−</sup>, cNO<sub>3</sub><sup>−</sup>, and HNO<sub>3</sub>) during the winter, while HNO<sub>3</sub> gas constituted approximately 40 % of the total nitrate in summer and fNO<sub>3</sub><sup>−</sup> peaked during the winter. Large-scale dust–nitrate (mainly cNO<sub>3</sub><sup>−</sup>) outflow from China to Fukuoka was confirmed during all dust events that occurred between January and June. The modeled cNO<sub>3</sub><sup>−</sup> was in good agreement with observations between July and November (mainly coming from sea salt NO<sub>3</sub><sup>−</sup>). During the winter, however, the model underestimated cNO<sub>3</sub><sup>−</sup> levels compared to the observed levels. The reason for this underestimation was examined statistically using multiple regression analysis (MRA). We used cNa<sup>+</sup>, nss-cCa<sup>2+</sup>, and cNH<sub>4</sub><sup>+</sup> as independent variables to describe the observed cNO<sub>3</sub><sup>−</sup> levels; these variables were considered representative of sea salt cNO<sub>3</sub><sup>−</sup>, dust cNO<sub>3</sub><sup>−</sup>, and cNO<sub>3</sub><sup>−</sup> accompanied by cNH<sub>4</sub><sup>+</sup>), respectively. The MRA results explained the observed seasonal changes in dust cNO<sub>3</sub><sup>−</sup> and indicated that the dust–acid uptake scheme reproduced the observed dust–nitrate levels even in winter. The annual average contributions of each component were 43 % (sea salt cNO<sub>3</sub><sup>−</sup>), 19 % (dust cNO<sub>3</sub><sup>−</sup>), and 38 % (cNH<sub>4</sub><sup>+</sup> term). The MRA dust–cNO<sub>3</sub><sup>−</sup> component had a high value during the dust season, and the sea salt component made a large contribution throughout the year. During the winter, cNH<sub>4</sub><sup>+</sup> term made a large contribution. The model did not include aerosol microphysical processes (such as condensation and coagulation between the fine anthropogenic aerosols NO<sub>3</sub><sup>−</sup> and SO<sub>4</sub><sup>2−</sup> and coarse particles), and our results suggest that inclusion of aerosol microphysical processes is critical when studying observed cNO<sub>3</sub><sup>−</sup> formation, especially in winter.https://www.atmos-chem-phys.net/17/14181/2017/acp-17-14181-2017.pdf |