Land Use Regression Models of On-Road Particulate Air Pollution (Particle Number, Black Carbon, PM2.5, Particle Size) Using Mobile Monitoring-Reference-Cited by-同舟云学术

Land Use Regression Models of On-Road Particulate Air Pollution (Particle Number, Black Carbon, PM2.5, Particle Size) Using Mobile Monitoring

Published:2015-07-20 Issue:15 Volume:49 Page:9194-9202
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Hankey Steve¹,Marshall Julian D.²

Affiliation:

1. School of Public and International Affairs, Virginia Tech, 140 Otey Street, Blacksburg, Virginia 24061, United States

2. Department of Civil, Environmental, and Geo- Engineering, University of Minnesota, 500 Pillsbury Drive SE, Minneapolis, Minnesota 55455, United States

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.5b01209

Reference41 articles.

1. Estimating Long-Term Average Particulate Air Pollution Concentrations: Application of Traffic Indicators and Geographic Information Systems

2. A regression-based method for mapping traffic-related air pollution: application and testing in four contrasting urban environments

3. A review and evaluation of intraurban air pollution exposure models

4. Within-urban variability in ambient air pollution: Comparison of estimation methods

5. Modeling the Intraurban Variability of Ambient Traffic Pollution in Toronto, Canada

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