Prediction of real-time particulate matter concentrations on highways using traffic information and emission model
The public raises concerns about the exposure to particulate matter (PM) which has been strongly associated with illness and mortality. However, most of the studies rely on the measurements from stationary monitoring sites which cannot capture the actual PM exposure for those people in or near the source. In this study, the authors first set up a comprehensive mobile monitoring platform to measure both PM concentration and traffic conditions on some major highways in Southern California. Then, they developed an integrated database to fuse different data sources and to facilitate the investigation of relationship between traffic conditions and highway PM concentration. Using the fused datasets and combining with Emission FACtor (EMFAC) model, contour plots based on estimated PM emissions were generated with the overlay of particle concentration measurements. Analyses of the results indicate that there are numerous particle concentration peaks caused by traffic congestions and vehicle acceleration. PM concentrations may be affected by traffic conditions on the other side of the highway as shown in both measurement and emission models. In view of the complicated physical nature of PM concentration on highways, the authors applied the Multivariate Adaptive Regression Splines (MARS) model to the integrated database, and identified the eleven traffic-related variables that have the most impacts on in-source PM concentration prediction. The high coefficient of determination (i.e., R²= 0.72) indicates the capability of the model to address the variance in PM concentration.
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Supplemental Notes:
- This paper was sponsored by TRB committee ADC20 Standing Committee on Transportation and Air Quality. Alternate title: Measurement and Estimation of Particulate Matter Concentration on Highways in Southern California
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Wu, Guoyuan
- Pham, Liem
- Hao, Peng
- Jung, Heejung
- Boriboonsomsin, Kanok
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Conference:
- Transportation Research Board 96th Annual Meeting
- Location: Washington DC, United States
- Date: 2017-1-8 to 2017-1-12
- Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; Photos; References; Tables;
- Pagination: 17p
- Monograph Title: TRB 96th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Concentration (Chemistry); Highway traffic; Monitoring; Particulates; Pollutants
- Geographic Terms: Southern California
- Subject Areas: Environment; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01628856
- Record Type: Publication
- Report/Paper Numbers: 17-06778
- Files: TRIS, TRB, ATRI
- Created Date: Mar 14 2017 10:31AM