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. 2009 Oct;43(32):4975-4981.
doi: 10.1016/j.atmosenv.2009.07.004.

Spatial and Temporal Variations in Traffic-related Particulate Matter at New York City High Schools

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Spatial and Temporal Variations in Traffic-related Particulate Matter at New York City High Schools

Molini M Patel et al. Atmos Environ (1994). 2009 Oct.

Abstract

Relatively little is known about exposures to traffic-related particulate matter at schools located in dense urban areas. The purpose of this study was to examine the influences of diesel traffic proximity and intensity on ambient concentrations of fine particulate matter (PM(2.5)) and black carbon (BC), an indicator of diesel exhaust particles, at New York City (NYC) high schools. Outdoor PM(2.5) and BC were monitored continuously for 4-6 weeks at each of 3 NYC schools and 1 suburban school located 20 kilometers upwind of the city. Traffic count data were obtained using an automated traffic counter or video camera. BC concentrations were 2-3 fold higher at urban schools compared with the suburban school, and among the 3 urban schools, BC concentrations were higher at schools located adjacent to highways. PM(2.5) concentrations were significantly higher at urban schools than at the suburban school, but concentrations did not vary significantly among urban schools. Both hourly average counts of trucks and buses and meteorological factors such as wind direction, wind speed, and humidity were significantly associated with hourly average ambient BC and PM(2.5) concentrations in multivariate regression models. An increase of 443 trucks/buses per hour was associated with a 0.62 mug/m(3) increase in hourly average BC at a NYC school located adjacent to a major interstate highway. Car traffic counts were not associated with BC. The results suggest that local diesel vehicle traffic may be important sources of airborne fine particles in dense urban areas and consequently may contribute to local variations in PM(2.5) concentrations. In urban areas with higher levels of diesel traffic, local, neighborhood-scale monitoring of pollutants such as BC, which compared to PM(2.5), is a more specific indicator of diesel exhaust particles, may more accurately represent population exposures.

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Figures

Figure 1
Figure 1
Temporal trends in daily average black carbon concentrations (BC) measured at urban and suburban schools a. Urban School 1 (U1) and the Suburban School (S1) - 5/6/03–6/8/03. Compared with S1, mean of 24-hour average BC concentrations were 3.6-fold higher at U1, although concentrations were significantly correlated over time (r = 0.74, p<0.0001). b. Urban School 2 (U2) and the Suburban School (S2) - 2/23/04–3/28/04. Compared with S2, mean of 24-hour average BC concentrations were 3.2-fold higher at U2, although concentrations were significantly correlated over time (0.84, p<0.0001).
Figure 1
Figure 1
Temporal trends in daily average black carbon concentrations (BC) measured at urban and suburban schools a. Urban School 1 (U1) and the Suburban School (S1) - 5/6/03–6/8/03. Compared with S1, mean of 24-hour average BC concentrations were 3.6-fold higher at U1, although concentrations were significantly correlated over time (r = 0.74, p<0.0001). b. Urban School 2 (U2) and the Suburban School (S2) - 2/23/04–3/28/04. Compared with S2, mean of 24-hour average BC concentrations were 3.2-fold higher at U2, although concentrations were significantly correlated over time (0.84, p<0.0001).

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References

    1. Allen GA, Lawrence J, Koutrakis P. Field validation of a semi-continuous method for aerosol black carbon (aethalometer) and temporal patterns of summertime hourly black carbon measurements in southwestern PA. Atmospheric Environment. 1999;33:817–823.
    1. Ban-Weiss GA, MCLaughlin JP, Harley RA, Lunden MM, Kirchstetter TW, Kean AJ, Strawa AW, Stevenson ED, Kendall GR. Long-term changes in emissions of nitrogen oxides and particulate matter from on-road gasolineanddiesel vehicles. Atmospheric Environment. 2008;42:220–232.
    1. Brunekreef B, Janssen NAH, de Hartog J, Harssema H, Knape M, van Vliet P. Air Pollution from Truck Traffic and Lung Function in Children Living near Motorways. Epidemiology. 1997;8:298. - PubMed
    1. deCastro BR, Wang L, Mihalic JN, Breysse PN, Geyh AS. The Longitudinal Dependence of Black Carbon Concentration on Traffic Volume in an Urban Environment. Journal of Air and Waste Management Association. 2008;58:928–393. - PubMed
    1. EPA (United States Environmental Protection Agency) Criteria Pollutants - Metropolitan Statistical Area Air Quality Trends, 1993-2002. 2004. Table A-16.

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