Literature DB >> 18075073

Factors influencing mobile source particulate matter emissions-to-exposure relationships in the Boston urban area.

Susan L Greco1, Andrew M Wilson, Steven R Hanna, Jonathan I Levy.   

Abstract

Benefit-cost and regulatory impact analyses often use atmospheric dispersion models with coarse resolution to estimate the benefits of proposed mobile source emission control regulations. This approach may bias health estimates or miss important intra-urban variability for primary air pollutants. In this study, we estimate primary fine particulate matter (PM2.5) intake fractions (iF; the fraction of a pollutant emitted from a source that is inhaled by the population) for each of 23 398 road segments in the Boston Metro Core area to evaluate the potential for intra-urban variability in the emissions-to-exposure relationship. We estimate iFs using the CAL3QHCR line source model combined with residential populations within 5000 m of each road segment. The annual average values for the road segments range from 0.8 to 53 per million, with a mean of 12 per million. On average, 46% of the total exposure is realized within 200 m of the road segment, though this varies from 0 to 93% largely due to variable population patterns. Our findings indicate the likelihood of substantial intra-urban variability in mobile source primary PM2.5 iF that accounting for population movement with time, localized meteorological conditions, and street-canyon configurations would likely increase.

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Year:  2007        PMID: 18075073     DOI: 10.1021/es062213f

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  10 in total

1.  Intra-urban variability of the intake fraction from multiple emission sources.

Authors:  Piotr Holnicki; Andrzej Kałuszko; Zbigniew Nahorski; Marko Tainio
Journal:  Atmos Pollut Res       Date:  2018-11       Impact factor: 4.352

2.  The Effects of Urban Form on Ambient Air Pollution and Public Health Risk: A Case Study in Raleigh, North Carolina.

Authors:  Theodore J Mansfield; Daniel A Rodriguez; Joseph Huegy; Jacqueline MacDonald Gibson
Journal:  Risk Anal       Date:  2014-12-09       Impact factor: 4.000

3.  Evaluating efficiency-equality tradeoffs for mobile source control strategies in an urban area.

Authors:  Jonathan I Levy; Susan L Greco; Steven J Melly; Neha Mukhi
Journal:  Risk Anal       Date:  2008-09-11       Impact factor: 4.000

4.  Air pollution and health risks due to vehicle traffic.

Authors:  Kai Zhang; Stuart Batterman
Journal:  Sci Total Environ       Date:  2013-04-15       Impact factor: 7.963

5.  Burden of disease caused by local transport in Warsaw, Poland.

Authors:  Marko Tainio
Journal:  J Transp Health       Date:  2015-09

6.  The Association Between PM2.5 and Ozone and the Prevalence of Diabetes Mellitus in the United States, 2002 to 2008.

Authors:  Ashley M Hernandez; David Gimeno Ruiz de Porras; Dritana Marko; Kristina W Whitworth
Journal:  J Occup Environ Med       Date:  2018-07       Impact factor: 2.162

7.  Global intraurban intake fractions for primary air pollutants from vehicles and other distributed sources.

Authors:  Joshua S Apte; Emilie Bombrun; Julian D Marshall; William W Nazaroff
Journal:  Environ Sci Technol       Date:  2012-03-08       Impact factor: 9.028

Review 8.  Factors influencing the spatial extent of mobile source air pollution impacts: a meta-analysis.

Authors:  Ying Zhou; Jonathan I Levy
Journal:  BMC Public Health       Date:  2007-05-22       Impact factor: 3.295

9.  The contribution of motor vehicle emissions to ambient fine particulate matter public health impacts in New York City: a health burden assessment.

Authors:  Iyad Kheirbek; Jay Haney; Sharon Douglas; Kazuhiko Ito; Thomas Matte
Journal:  Environ Health       Date:  2016-08-26       Impact factor: 5.984

10.  Numerical Investigations of Urban Pollutant Dispersion and Building Intake Fraction with Various 3D Building Configurations and Tree Plantings.

Authors:  Qingman Li; Jie Liang; Qun Wang; Yuntong Chen; Hongyu Yang; Hong Ling; Zhiwen Luo; Jian Hang
Journal:  Int J Environ Res Public Health       Date:  2022-03-16       Impact factor: 3.390

  10 in total

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