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Modeling of High Density of Ozone in Seoul Area with Non-Linear Regression
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 Title & Authors
Modeling of High Density of Ozone in Seoul Area with Non-Linear Regression
Chung, Soo-Yeon; Cho, Ki-Heon;
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While characterized initially as an urban-scale pollutant, ozone has increasingly been recognized as a regional and even global-scale phenomenon. The complexity of environmental data dynamics often requires models covering non-linearity. This study deals with modeling ozone with meteorology in Seoul area. The relationships are used to construct a nonlinear regression model relating ozone to meteorology. The model can be used to estimate that part of the trend in ozone levels that cannot be accounted for by trends in meteorology.
Long term trend;non-linear regression;ozone;seasonal trend;
 Cited by
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