Characterizing Spatial Patterns of Airborne Coarse Particulate (PM10-2.5) Mass and Chemical Components in Three Cities: The Multi-Ethnic Study of Atherosclerosis (MESA)
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2014/08/01
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Description:Background: The long-term health effects of coarse particular matter (PM10-2.5) are challenging to assess because of a limited understanding of the spatial variation in PM10-2.5 mass and its chemical components. Objectives: We conducted a spatially intensive field study and developed spatial prediction models for PM10-2.5 mass and four selected species (copper, zinc, phosphorus, and silicon) in three American cities. Methods: PM10-2.5 snapshot campaigns were conducted in Chicago, Illinois; St. Paul, Minnesota; and Winston-Salem, North Carolina, in 2009 for the Multi-Ethnic Study of Atherosclerosis and Coarse Airborne Particulate Matter (MESA Coarse). In each city, samples were collected simultaneously outside the homes of approximately 40 participants over 2 weeks in the winter and/or summer. City-specific and combined prediction models were developed using land use regression (LUR) and universal kriging (UK). Model performance was evaluated by cross-validation (CV). Results: PM10-2.5 mass and species varied within and between cities in a manner that was predictable by geographic covariates. City-specific LUR models generally performed well for total mass (CV R2, 0.41-0.68), copper (CV R2, 0.51-0.86), phosphorus (CV R2, 0.50-0.76), silicon (CV R2, 0.48-0.93), and zinc (CV R2, 0.36-0.73). Models pooled across all cities inconsistently captured within-city variability. Little difference was observed between the performance of LUR and UK models in predicting concentrations. Conclusions: Characterization of fine-scale spatial variability of these often heterogeneous pollutants using geographic covariates should reduce exposure misclassification and increase the power of epidemiological studies investigating the long-term health impacts of PM10-2.5. [Description provided by NIOSH]
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ISSN:0091-6765
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Place as Subject:Illinois ; Michigan ; Minnesota ; North Carolina ; OSHA Region 10 ; OSHA Region 4 ; OSHA Region 5 ; OSHA Region 6 ; Texas ; Washington
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Volume:122
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Issue:8
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NIOSHTIC Number:nn:20055128
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Citation:Environ Health Perspect 2014 Aug; 122(8):823-830
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Contact Point Address:K. Zhang, Division of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, TX 77030 USA
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Email:kai.zhang@uth.tmc.edu
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Federal Fiscal Year:2014
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Performing Organization:University of Washington
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Peer Reviewed:True
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Start Date:20050701
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Source Full Name:Environmental Health Perspectives
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End Date:20250630
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Main Document Checksum:urn:sha-512:c84401fb84e4f57895620ed57513ae10946d98a2a412ae2051aed8ac56033d05dfa225b500df2183313c316af24822ddab49b784109c67798744b2487b0669d0
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