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초록

This study estimated the response of ambient ozone to individual meteorological
variables in Seoul from 2007 to 2016. In order to characterize the long-term variation
of ozone due to meteorology, the meteorologically adjusted trends of daily 8-hour
maximum ozone were obtained using the generalized additive model(GAM). The
relationships between ozone and meteorological variables were assessed after controlling
for long-term trends, day of the week, spatial and time temporal variations in the
model. The aggregate impact of meteorological variables in the models explained 36.6%
of the variance of ozone. An analysis of the marginal effects of individual variables
showed that high temperatures(above 35℃) and radiation(above 13 MJ/m2) had the
strongest correlation with ambient ozone. Other variables such as wind direction, wind
speed, water vapour pressure, precipitation and sea level pressure displayed some
correlation with ambient ozone, but their impacts in the models were less