Air Particle Measurement

This digital document is an article from Journal of the Air & Waste Management Association, published by Air and Waste Management Association on November 1, 2010. The length of the article is 5443 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.Citation DetailsTitle: Model for estimation of traffic pollutant levels in northern communities.(TECHNICAL PAPER)(Report)Author: Tom MarsikPublication: Journal of the Air & Waste Management Association (Magazine/Journal)Date: November 1, 2010Publisher: Air and Waste Management AssociationVolume: 60 Issue: 11 Page: 1335(6)Article Type: ReportDistributed by Gale, a part of Cengage Learning

Published on: 2010-11-01 Released on: 2010-11-29 Format: HTML Binding: Digital 19 pages

Excerpt. © Reprinted by permission. All rights reserved. ABSTRACT Using models to estimate the contribution of traffic to air pollution levels from known traffic data typically requires the knowledge of model parameters such as emission factors and meteorological conditions. This paper presents a state-space model analysis method that does not require the knowledge of model parameters; these parameters are identified from measured traffic and ambient air quality data. This method was used to analyze carbon monoxide (CO) in downtown Fairbanks, AK, which is the community of focus for this paper. It was found that traffic contributed, on average, 53% to the total CO levels over the last six winters. The correlation coefficient between the measured and model-predicted daily profiles of the CO concentration was 0.98, and...