Fuzzy Logic Modelling Of Air Pollution During Chinook Winds
Price
Free (open access)
Transaction
Volume
66
Pages
10
Published
2003
Size
410 kb
Paper DOI
10.2495/AIR030041
Copyright
WIT Press
Author(s)
R. Mintz, B.R. Young & W.Y. Svrcek
Abstract
Fuzzy logic modeling of air pollution during Chinook winds R. Mintz, B.R. Young& W. Y. Svrcek Department of Chemical and Petroleum Engineering, University o f Calgary, Canada. Abstract The occurrence of Foehn winds in the city of Calgary is due to the nearby proximity of the Canadian Rocky Mountains. The Foehn winds bring warm weather during the winter months and are described locally as "Chinooks", a Blackfoot Indian term meaning snow eaters. Despite the increased wind speed during a Chinook, air pollution levels increase. A novel approach to modeling air pollution during a Chinook was developed using fuzzy logic. The Fuzzy c-Means method for system classification was used to identify the Foehn wind. As well, Modified Learning from Examples was used to predict surface ozone concentration. The identification of the occurrence of the Chinook wind was based on changes in humidity, and temperature increase. Key factors in air pollution for Calgary are ventiIation components such as wind speed. T
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