The Korean Journal of Applied Statistics (응용통계연구)

The Korean Statistical Society (한국통계학회)
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Modeling of High Density of Ozone in Seoul Area with Non-Linear Regression

비선형 회귀 모형을 이용한 서울지역 오존의 고농도 현상의 모형화

  • Chung, Soo-Yeon (Department of Information and Statistics, Duksung Women's University) ;
  • Cho, Ki-Heon (Department of Information and Statistics, Duksung Women's University)
  • 정수연 (덕성여자대학교 정보통계학과) ;
  • 최기헌 (덕성여자대학교 정보통계학과)
  • Published : 2009.08.31
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Abstract

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.

본 연구에서는 서울지역 오존의 기상상태와 추세경향에 따른 고농도 현상을 모수적 방법인 비선형회귀모형(nonlinear regression model)으로 모형화 하였다. 여기서는 1995년부터 1999년까지의 자료로부터 오존과 고농도 현상에 영향을 줄 수 있는 기상상태와 추세경향 등을 순차적으로 추가함으로써 고농도 현상을 예측하는 모형을 추정하였다.

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References

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