WIT Press


Fuzzy Logic Modelling Of Air Pollution During Chinook Winds

Price

Free (open access)

Paper DOI

10.2495/AIR030041

Volume

66

Pages

10

Published

2003

Size

410 kb

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

Keywords