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Aerosol Physical Characteristics over the Yellow Sea During the KORUS-AQ Field Campaign: Observations and Air Quality Model Simulations

Aerosol Physical Characteristics over the Yellow Sea During the KORUS-AQ Field Campaign:... For understanding the aerosol characteristics over the Yellow Sea according to the air flow patterns in East Asia, the aerosol volume concentration distribution by particle size (size distribution) of the shipborne samples collected in the KORUS-AQ campaign is examined in conjunction with air quality (AQ) model simulations and air parcel trajectory analyses. Cluster analyses of the air parcel trajectories show that 42% of the collected air samples originated in Korea and Japan, 30% in inland/east-coast China, 16% in the highlands of Inner Mongolia, and 11% in the East China Sea. The aerosol size distribution varies characteristically according to the upstream path of individual trajectory clusters; particles of diameters <1 μm dominate when the upstream pathways include China, Korea, and/or Japan, that are significant sources of anthropogenic aerosols. Air flows from the East China Sea, a region virtually free of anthropogenic aerosol sources, show aerosol concentrations peaks at larger sizes of 1–5 μm. The flows from the Inner Mongolia are characterized by a bimodal distribution with a peak at 0.7 μm and another peak of a similar magnitude at diameters >2 μm, indicating a mixed industrial-dust aerosol type in which the dust particles from the Inner Mongolia is mixed with fine particles in the industrialized northeast China. Model studies for cases of typical air flow trajectory groups show that the model simulates the spatial distribution of the satellite-observed particulate matter reasonably, but underestimates the observed volume concentration of fine particles <1 μm. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Asia-Pacific Journal of Atmospheric Sciences Springer Journals

Aerosol Physical Characteristics over the Yellow Sea During the KORUS-AQ Field Campaign: Observations and Air Quality Model Simulations

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References (33)

Publisher
Springer Journals
Copyright
Copyright © 2019 by Korean Meteorological Society and Springer Nature B.V.
Subject
Earth Sciences; Atmospheric Sciences; Climatology; Geophysics/Geodesy
ISSN
1976-7633
eISSN
1976-7951
DOI
10.1007/s13143-018-00100-x
Publisher site
See Article on Publisher Site

Abstract

For understanding the aerosol characteristics over the Yellow Sea according to the air flow patterns in East Asia, the aerosol volume concentration distribution by particle size (size distribution) of the shipborne samples collected in the KORUS-AQ campaign is examined in conjunction with air quality (AQ) model simulations and air parcel trajectory analyses. Cluster analyses of the air parcel trajectories show that 42% of the collected air samples originated in Korea and Japan, 30% in inland/east-coast China, 16% in the highlands of Inner Mongolia, and 11% in the East China Sea. The aerosol size distribution varies characteristically according to the upstream path of individual trajectory clusters; particles of diameters <1 μm dominate when the upstream pathways include China, Korea, and/or Japan, that are significant sources of anthropogenic aerosols. Air flows from the East China Sea, a region virtually free of anthropogenic aerosol sources, show aerosol concentrations peaks at larger sizes of 1–5 μm. The flows from the Inner Mongolia are characterized by a bimodal distribution with a peak at 0.7 μm and another peak of a similar magnitude at diameters >2 μm, indicating a mixed industrial-dust aerosol type in which the dust particles from the Inner Mongolia is mixed with fine particles in the industrialized northeast China. Model studies for cases of typical air flow trajectory groups show that the model simulates the spatial distribution of the satellite-observed particulate matter reasonably, but underestimates the observed volume concentration of fine particles <1 μm.

Journal

Asia-Pacific Journal of Atmospheric SciencesSpringer Journals

Published: Mar 20, 2019

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