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Estimating Air Quality in a Traffic Tunnel Using a Forecasting Combination Model

Environmental Monitoring and Assessment volume 112, pages 327–345 (2006)Cite this article

Abstract

This study compared three forecasting methods based on their accuracy or absolute errors in forecasting air pollution in a traffic tunnel: the Grey model (GM), the Crank-Nicholson implicit scheme model, and the forecasting combination model (FCM). Three criteria, root mean square error (RMSE), the mean absolute error (MAE) and mean absolute percentage error (MAPE), were applied to the models and the FCM model displayed all of the characteristics of a good forecasting model. The correlation coefficient (r) for the FCM model equaled 0.94 (Upwind), 0.98 (Middle) and 0.98 (Downwind). This study indicated that FCM can be used to accurately forecast CO pollution in the Kaohsiung Cross Harbor Tunnel.

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Affiliations

  1. Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, Taiwan

    Cheng-Chung Lee

  2. Institute of Safety Health and Environmental Engineering, National Yunlin University of Science and Technology, Taiwan

    Terng-Jou Wan & Chao-Yin Kuo

  3. Department of Environmental Engineering and Science, Tajen Institute of Technology, 20, Weishin Road, Yanpu Shiang, Pingtung 907, Taiwan

    Cheng-Chung Lee & Chung-Yi Chung

Authors
  1. Cheng-Chung Lee
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  2. Terng-Jou Wan
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  3. Chao-Yin Kuo
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  4. Chung-Yi Chung
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Correspondence to Chao-Yin Kuo.

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Lee, CC., Wan, TJ., Kuo, CY. et al. Estimating Air Quality in a Traffic Tunnel Using a Forecasting Combination Model. Environ Monit Assess 112, 327–345 (2006). https://doi.org/10.1007/s10661-006-1073-x

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  • DOI: https://doi.org/10.1007/s10661-006-1073-x

Keywords

  • air quality
  • Crank-Nicholson implicit scheme model (CNM)
  • forecasting combination models (FCM)
  • grey model (GM)
  • traffic tunnel