caa a22 4500 467905355 CHVBK 20180406152832.0 cr unu---uuuuu 170328e20060101xx s 000 0 eng 10.1007/s10661-006-1073-x doi (NATIONALLICENCE)springer-10.1007/s10661-006-1073-x Estimating Air Quality in a Traffic Tunnel Using a Forecasting Combination Model [Elektronische Daten] [Cheng-Chung Lee, Terng-Jou Wan, Chao-Yin Kuo, Chung-Yi Chung] 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. Springer Science + Business Media, Inc., 2006 air quality nationallicence Crank-Nicholson implicit scheme model (CNM) nationallicence forecasting combination models (FCM) nationallicence grey model (GM) nationallicence traffic tunnel nationallicence Lee Cheng-Chung Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, Taiwan aut Wan Terng-Jou Institute of Safety Health and Environmental Engineering, National Yunlin University of Science and Technology, Taiwan aut Kuo Chao-Yin Institute of Safety Health and Environmental Engineering, National Yunlin University of Science and Technology, Taiwan aut Chung Chung-Yi Department of Environmental Engineering and Science, Tajen Institute of Technology, 20, Weishin Road, Yanpu Shiang, Pingtung 907, Taiwan aut Environmental Monitoring and Assessment Kluwer Academic Publishers 112/1-3(2006-01-01), 327-345 0167-6369 112:1-3<327 2006 112 10661 https://doi.org/10.1007/s10661-006-1073-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10661-006-1073-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lee Cheng-Chung Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, Taiwan aut NATIONALLICENCE 700 1- Wan Terng-Jou Institute of Safety Health and Environmental Engineering, National Yunlin University of Science and Technology, Taiwan aut NATIONALLICENCE 700 1- Kuo Chao-Yin Institute of Safety Health and Environmental Engineering, National Yunlin University of Science and Technology, Taiwan aut NATIONALLICENCE 700 1- Chung Chung-Yi Department of Environmental Engineering and Science, Tajen Institute of Technology, 20, Weishin Road, Yanpu Shiang, Pingtung 907, Taiwan aut NATIONALLICENCE 773 0- Environmental Monitoring and Assessment Kluwer Academic Publishers 112/1-3(2006-01-01), 327-345 0167-6369 112:1-3<327 2006 112 10661 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer