Journal of Korean Society for Atmospheric Environment (한국대기환경학회지)

Korean Society for Atmospheric Environment (한국대기환경학회)
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Analysis of PM10 Concentration using Auto-Regressive Error Model at Pyeongtaek City in Korea

자기회귀오차모형을 이용한 평택시 PM10 농도 분석

  • Lee, Hoon-Ja (Department of Information Statistics, Pyeongtaek University)
  • 이훈자 (평택대학교 디지털응용정보학과)
  • Received : 2010.09.06
  • Accepted : 2011.05.30
  • Published : 2011.06.30
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Abstract

The purpose of this study was to analyze the monthly and seasonal PM10 data using the Autoregressive Error (ARE) model at the southern part of the Gyeonggi-Do, Pyeongtaek monitoring site in Korea. In the ARE model, six meteorological variables and four pollution variables are used as the explanatory variables. The six meteorological variables are daily maximum temperature, wind speed, amount of cloud, relative humidity, rainfall, and global radiation. The four air pollution variables are sulfur dioxide ($SO_2$), nitrogen dioxide ($NO_2$), carbon monoxide (CO), and ozone ($O_3$). The result shows that monthly ARE models explained about 17~49% of the PM10 concentration. However, the ARE model could be improved if we add the more explanatory variables in the model.

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References

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