Estimation of sulfate aerosol sources during an intensive field campaign in October–November, 2015 at Cape Hedo, Okinawa

Content Provider	Semantic Scholar
Author	Itahashi, Syuichi Hatakeyama, Shiro Shimada, Kojiro Takami, Akinori
Copyright Year	2017
Abstract	Air quality in Asia is a major regional-to-global environmental problem, and under such circumstances, several collaborative international experiments have been conducted over the western Pacific region. To investigate the transformation of aerosols during long-range transport (LRT) is necessary for promoting our understanding of regional air pollution and climate change. An intensive observation campaign at Cape Hedo, Okinawa, Japan (CHAAMS) was conducted from late October to early November 2015. The location of CHAAMS is suitable for capturing the atmospheric pollutants via LRT. During this period, sulfate (SO4 ) was the dominant aerosol component, and the air quality model can capture the observed meteorological conditions and SO4 2variation. By using the air quality model with the tagged tracer method, the sources of high SO4 2concentration were estimated. On October 27, when the westerly wind was dominant, the main source was anthropogenic SO2 emissions in China. On November 1, when the northerly wind prevailed, the impact of volcanoes in western Japan was significant and the conversion ratio from SO2 to SO4 2was lowest, at less than 70%, due to the faster transport. During the latter part of the campaign, the northerly to easterly winds were prominent, and the impacts of Korea, Japan, and ship to SO4 2observed at CHAAMS were also obvious. On November 4, when the contributions from Korea, Japan, and ship were the highest, the conversion ratio was also the highest, at greater than 95% due to long-range transport. The modeled sources of volcanoes and ship emissions corresponded well with the observed coarse-mode SO4 2and V/Mn ratio, respectively. It was demonstrated that the mutual evaluation of sources from model and observations enable to estimate SO4 2sources with higher confidence.
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Language	English
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Content Type	Text
Resource Type	Article