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Titel |
Extensive spatiotemporal analyses of surface ozone and related meteorological variables in South Korea for the period 1999–2010 |
VerfasserIn |
J. Seo, D. Youn, J. Y. Kim, H. Lee |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1680-7316
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Digitales Dokument |
URL |
Erschienen |
In: Atmospheric Chemistry and Physics ; 14, no. 12 ; Nr. 14, no. 12 (2014-06-26), S.6395-6415 |
Datensatznummer |
250118840
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Publikation (Nr.) |
copernicus.org/acp-14-6395-2014.pdf |
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Zusammenfassung |
Spatiotemporal characteristics of surface ozone (O3) variations over
South Korea are investigated with consideration of meteorological factors
and timescales based on the Kolmogorov–Zurbenko filter (KZ filter), using
measurement data at 124 air quality monitoring sites and 72 weather stations
for the 12 yr period of 1999–2010. In general, O3 levels at coastal
cities are high due to dynamic effects of the sea breeze while those at the
inland and Seoul Metropolitan Area (SMA) cities are low due to the NOx
titration by local precursor emissions. We examine the meteorological
influences on O3 using a combined analysis of the KZ filter and linear
regressions between O3 and meteorological variables. We decomposed
O3 time series at each site into short-term, seasonal, and long-term
components by the KZ filter and regressed on meteorological variables.
Impact of temperature on the O3 levels is significantly high in the
highly populated SMA and inland region, but low in the coastal region. In
particular, the probability of high O3 occurrence doubles with
4 °C of temperature increase in the SMA during high O3 months
(May–October). This implies that those regions will experience frequent
high O3 events in a future warming climate. In terms of short-term
variation, the distribution of high O3 probability classified by wind
direction shows the effect of both local precursor emissions and long-range
transport from China. In terms of long-term variation, the O3
concentrations have increased by +0.26 ppbv yr−1 (parts per billion by volume) on nationwide
average, but their trends show large spatial variability. Singular value
decomposition analyses further reveal that the long-term temporal evolution
of O3 is similar to that of nitrogen dioxide, although the spatial
distribution of their trends is different. This study will be helpful as a
reference for diagnostics and evaluation of regional- and local-scale
O3 and climate simulations, and as a guide to appropriate O3
control policy in South Korea. |
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