2013
DOI: 10.1080/10962247.2013.845618
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Sensitivity analysis of source regions to PM2.5 concentration at Fukue Island, Japan

Abstract: The contribution from several source regions in East Asia to PM2.5 concentration at Fukue Island, a remote island located in the western part of Japan and close to the Asian continent, is estimated using a three-dimensional chemical transport model. The model results suggest that PM2.5 that is attributed to foreign anthropogenic sources have a larger contribution than that of domestic pollution and have a substantial impact on attainment of the atmospheric environmental standard of Japan at Fukue Island.

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Cited by 47 publications
(44 citation statements)
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“…During 1-3 May at Rishiri, the concentration of the sensitivity simulation increased from 2 May and the difference of concentrations between the simulations with and without Siberian biomass burning emissions was small in contrast to the early part of the event, suggesting a large contribution other than biomass burning in Siberia. The increase during the late part of the event could be attributed to PM 2.5 originating from anthropogenic emissions in the Asian continent (Ikeda et al 2014. The model also captured enhancements of CO at Rishiri, but tended to underestimate the observed results.…”
Section: Resultsmentioning
confidence: 89%
See 1 more Smart Citation
“…During 1-3 May at Rishiri, the concentration of the sensitivity simulation increased from 2 May and the difference of concentrations between the simulations with and without Siberian biomass burning emissions was small in contrast to the early part of the event, suggesting a large contribution other than biomass burning in Siberia. The increase during the late part of the event could be attributed to PM 2.5 originating from anthropogenic emissions in the Asian continent (Ikeda et al 2014. The model also captured enhancements of CO at Rishiri, but tended to underestimate the observed results.…”
Section: Resultsmentioning
confidence: 89%
“…The uncertainties in the emission inventories could lead to negative biases for the days during which the influence of Siberian biomass burning was large ( figure 3(b)), as mentioned above. It should be noted that PM 2.5 originating from the sources other than biomass burning in Siberia would also contribute to the model biases because the model tended to underestimate observations for the periods when the influence of Siberian wildfires was small (Ikeda et al 2014). By contrast, the model reproduced the concentration level reasonably well in 2008, in particular, for high PM 2.5 events due to Siberian biomass burning ( figure 3(f)).…”
Section: Resultsmentioning
confidence: 94%
“…In this study, the average residence time of 27 backward trajectories over specific source regions was used as an indicator of their impact. Ikeda et al [2014] showed that central north China (CHN-CN; 34-42°N, 105-124°E) had the largest contribution (50-60%) to the PM 2.5 (50% size cutoff at 2.5 μm) concentration measured at a remote site in the western part of Japan for the year 2010. We used the same domain defined in their study for assessing the anthropogenic impact over the North China Plain.…”
Section: Backward Trajectory Analysismentioning
confidence: 99%
“…In spring, due to the prevailing westerly wind over East Asia, the transboundary air pollution of both aerosols and gases, e.g., carbon monoxide (CO) and ozone (O 3 ), has been thoroughly discussed (Itahashi et al, 2010(Itahashi et al, , 2013(Itahashi et al, , 2015Kanaya et al, 2016;Nagashima et al, 2010). In summer, the clean air mass from the oceans is moved over Japan by the southerly wind caused by the Pacific High; however, some studies have discussed the importance of transboundary air pollution from China over western Japan (Itahashi et al, 2012;Ikeda et al, 2014). Recently, 1-year source-receptor relationships for SO 2− 4 were evaluated, and China was identified as the main influence on downwind regions throughout the year with local sulfur dioxide (SO 2 ) emissions making an important contribution in summer (Itahashi et al, 2017).…”
Section: Introductionmentioning
confidence: 99%