2012
DOI: 10.4209/aaqr.2011.09.0141
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The Effects of Precursor Emission and Background Concentration Changes on the Surface Ozone Concentration over Korea

Abstract: The meteorologically adjusted long term variations of the surface ozone concentrations over 6 major cities in Korea were determined by using the low-pass Kolmogorov and Zurbenko (KZ)-filter and multiple linear regressions. In addition, by using the OZone Isopleth Plotting package for Research-oriented version (OZIPR), the variation of ozone induced by the change of precursor emissions was separated from the long term variation of ozone over Seoul, thus the relative contribution of the background ozone concentr… Show more

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Cited by 29 publications
(14 citation statements)
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“…However, the OMI data suggest that the effectiveness of their local NO x emission control strategies may have been diminished by increasing transboundary transport of NO x pollution from China. China's pollution is known to negatively impact air quality in countries downwind [e.g., Takashima et al, 2011;Shin et al, 2012;Akimoto et al, 2015]. Lee et al [2014] used a combination of satellite NO 2 data, including from OMI, and a model to demonstrate the influence of Chinese NO x emissions on NO 2 levels in adjacent marine areas, Japan, and the Korean Peninsula.…”
Section: Japan and Republic Of Korea: Possible Reduced Effectiveness mentioning
confidence: 99%
“…However, the OMI data suggest that the effectiveness of their local NO x emission control strategies may have been diminished by increasing transboundary transport of NO x pollution from China. China's pollution is known to negatively impact air quality in countries downwind [e.g., Takashima et al, 2011;Shin et al, 2012;Akimoto et al, 2015]. Lee et al [2014] used a combination of satellite NO 2 data, including from OMI, and a model to demonstrate the influence of Chinese NO x emissions on NO 2 levels in adjacent marine areas, Japan, and the Korean Peninsula.…”
Section: Japan and Republic Of Korea: Possible Reduced Effectiveness mentioning
confidence: 99%
“…The meteorological variables used in this study include common factors related to the O 3 variations such as temperature ( • C), surface insolation (W m −2 ), relative humidity (%), and wind speed (m s −1 ) (e.g., Ordóñez et al, 2005;Camalier et al, 2007;Jacob and Winner, 2009). Dewpoint temperature ( • C) and sea-level pressure (hPa) are additionally applied for multiple linear regression models as other previous studies have done (e.g., Thompson et al, 2001;Shin et al, 2012). Finally, wind direction (16 cardinal directions) is used to reveal its relationship with short-term changes in O 3 .…”
Section: Datamentioning
confidence: 99%
“…We decomposed O 3 time series at each measurement site into different timescales of shortterm, seasonal, and long-term components by application of the Kolmogorov-Zurbenko filter (KZ filter) that has been used in previous studies (e.g., Gardner and Dorling, 2000;Ibarra-Berastegi et al, 2001;Thompson et al, 2001;Lu and Chang, 2005;Wise and Comrie, 2005;Tsakiri and Zurbenko, 2011;Shin et al, 2012). To investigate the meteorological impact on the O 3 levels, we applied the combined analysis of the KZ filter and linear regression model with the meteorological variables.…”
Section: Introductionmentioning
confidence: 99%
“…Several studies have compared concentrations of O 3 in urban, semi-urban and rural areas (Sillman 1999;Latif et al, 2012;Shin et al, 2012;Wang et al, 2012). The concentration of surface O 3 is predominantly higher in suburban areas due to the downwind plume of O 3 precursors from city centres (Monteiro et al, 2012;Wei et al, 2012).…”
Section: Introductionmentioning
confidence: 99%