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Intra-urban spatial variability in wintertime street-level concentrations of multiple combustion-related air pollutants: The New York City Community Air Survey (NYCCAS)
Journal article   Open access   Peer reviewed

Intra-urban spatial variability in wintertime street-level concentrations of multiple combustion-related air pollutants: The New York City Community Air Survey (NYCCAS)

Jane E. Clougherty, Iyad Kheirbek, Holger M. Eisl, Zev Ross, Grant Pezeshki, John E. Gorczynski, Sarah Johnson, Steven Markowitz, Daniel Kass and Thomas Matte
Journal of exposure science & environmental epidemiology, v 23(3), pp 232-240
01 May 2013
PMID: 23361442
url
https://doi.org/10.1038/jes.2012.125View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze) Open

Abstract

Environmental Sciences Environmental Sciences & Ecology Life Sciences & Biomedicine Public, Environmental & Occupational Health Science & Technology Toxicology
Although intra-urban air pollution differs by season, few monitoring networks provide adequate geographic density and year-round coverage to fully characterize seasonal patterns. Here, we report winter intra-urban monitoring and land-use regression (LUR) results from the New York City Community Air Survey (NYCCAS). Two-week integrated samples of fine particles (PM2.5), black carbon (BC), nitrogen oxides (NOx) and sulfur dioxide (SO2) were collected at 155 city-wide street-level locations during winter 2008-2009. Sites were selected using stratified random sampling, randomized across sampling sessions to minimize spatio-temporal confounding. LUR was used to identify GIS-based source indicators associated with higher concentrations. Prediction surfaces were produced using kriging with external drift. Each pollutant varied twofold or more across sites, with higher concentrations near midtown Manhattan. All pollutants were positively correlated, particularly PM2.5 and BC (Spearman's r=0.84). Density of oil-burning boilers, total and truck traffic density, and temporality explained 84% of PM2.5 variation. Densities of total traffic, truck traffic, oil-burning boilers and industrial space, with temporality, explained 65% of BC variation. Temporality, built space, bus route location, and traffic density described 67% of nitrogen dioxide variation. Residual oil-burning units, nighttime population and temporality explained 77% of SO2 variation. Spatial variation in combustion-related pollutants in New York City was strongly associated with oil-burning and traffic density. Chronic exposure disparities and unique local sources can be identified through year-round saturation monitoring. Journal of Exposure Science and Environmental Epidemiology (2013) 23, 232-240; doi:10.1038/jes.2012.125; published online 30 January 2013

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being
#11 Sustainable Cities and Communities

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Collaboration types
Domestic collaboration
Web of Science research areas
Environmental Sciences
Public, Environmental & Occupational Health
Toxicology
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