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Characterizing Spatial Patterns of Airborne Coarse Particulate (PM(10–2.5)) Mass and Chemical Components in Three Cities: The Multi-Ethnic Study of Atherosclerosis

Background: The long-term health effects of coarse particular matter (PM(10–2.5)) are challenging to assess because of a limited understanding of the spatial variation in PM(10–2.5) mass and its chemical components. Objectives: We conducted a spatially intensive field study and developed spatial pre...

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Autores principales: Zhang, Kai, Larson, Timothy V., Gassett, Amanda, Szpiro, Adam A., Daviglus, Martha, Burke, Gregory L., Kaufman, Joel D., Adar, Sara D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: NLM-Export 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4123025/
https://www.ncbi.nlm.nih.gov/pubmed/24642481
http://dx.doi.org/10.1289/ehp.1307287
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author Zhang, Kai
Larson, Timothy V.
Gassett, Amanda
Szpiro, Adam A.
Daviglus, Martha
Burke, Gregory L.
Kaufman, Joel D.
Adar, Sara D.
author_facet Zhang, Kai
Larson, Timothy V.
Gassett, Amanda
Szpiro, Adam A.
Daviglus, Martha
Burke, Gregory L.
Kaufman, Joel D.
Adar, Sara D.
author_sort Zhang, Kai
collection PubMed
description Background: The long-term health effects of coarse particular matter (PM(10–2.5)) are challenging to assess because of a limited understanding of the spatial variation in PM(10–2.5) mass and its chemical components. Objectives: We conducted a spatially intensive field study and developed spatial prediction models for PM(10–2.5) mass and four selected species (copper, zinc, phosphorus, and silicon) in three American cities. Methods: PM(10–2.5) 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: PM(10–2.5) 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 R(2), 0.41–0.68), copper (CV R(2), 0.51–0.86), phosphorus (CV R(2), 0.50–0.76), silicon (CV R(2), 0.48–0.93), and zinc (CV R(2), 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 PM(10–2.5). Citation: Zhang K, Larson TV, Gassett A, Szpiro AA, Daviglus M, Burke GL, Kaufman JD, Adar SD. 2014. Characterizing spatial patterns of airborne coarse particulate (PM(10–2.5)) mass and chemical components in three cities: the Multi-Ethnic Study of Atherosclerosis. Environ Health Perspect 122:823–830; http://dx.doi.org/10.1289/ehp.1307287
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spelling pubmed-41230252014-08-11 Characterizing Spatial Patterns of Airborne Coarse Particulate (PM(10–2.5)) Mass and Chemical Components in Three Cities: The Multi-Ethnic Study of Atherosclerosis Zhang, Kai Larson, Timothy V. Gassett, Amanda Szpiro, Adam A. Daviglus, Martha Burke, Gregory L. Kaufman, Joel D. Adar, Sara D. Environ Health Perspect Research Background: The long-term health effects of coarse particular matter (PM(10–2.5)) are challenging to assess because of a limited understanding of the spatial variation in PM(10–2.5) mass and its chemical components. Objectives: We conducted a spatially intensive field study and developed spatial prediction models for PM(10–2.5) mass and four selected species (copper, zinc, phosphorus, and silicon) in three American cities. Methods: PM(10–2.5) 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: PM(10–2.5) 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 R(2), 0.41–0.68), copper (CV R(2), 0.51–0.86), phosphorus (CV R(2), 0.50–0.76), silicon (CV R(2), 0.48–0.93), and zinc (CV R(2), 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 PM(10–2.5). Citation: Zhang K, Larson TV, Gassett A, Szpiro AA, Daviglus M, Burke GL, Kaufman JD, Adar SD. 2014. Characterizing spatial patterns of airborne coarse particulate (PM(10–2.5)) mass and chemical components in three cities: the Multi-Ethnic Study of Atherosclerosis. Environ Health Perspect 122:823–830; http://dx.doi.org/10.1289/ehp.1307287 NLM-Export 2014-03-18 2014-08 /pmc/articles/PMC4123025/ /pubmed/24642481 http://dx.doi.org/10.1289/ehp.1307287 Text en http://creativecommons.org/publicdomain/mark/1.0/ Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, “Reproduced with permission from Environmental Health Perspectives”); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright.
spellingShingle Research
Zhang, Kai
Larson, Timothy V.
Gassett, Amanda
Szpiro, Adam A.
Daviglus, Martha
Burke, Gregory L.
Kaufman, Joel D.
Adar, Sara D.
Characterizing Spatial Patterns of Airborne Coarse Particulate (PM(10–2.5)) Mass and Chemical Components in Three Cities: The Multi-Ethnic Study of Atherosclerosis
title Characterizing Spatial Patterns of Airborne Coarse Particulate (PM(10–2.5)) Mass and Chemical Components in Three Cities: The Multi-Ethnic Study of Atherosclerosis
title_full Characterizing Spatial Patterns of Airborne Coarse Particulate (PM(10–2.5)) Mass and Chemical Components in Three Cities: The Multi-Ethnic Study of Atherosclerosis
title_fullStr Characterizing Spatial Patterns of Airborne Coarse Particulate (PM(10–2.5)) Mass and Chemical Components in Three Cities: The Multi-Ethnic Study of Atherosclerosis
title_full_unstemmed Characterizing Spatial Patterns of Airborne Coarse Particulate (PM(10–2.5)) Mass and Chemical Components in Three Cities: The Multi-Ethnic Study of Atherosclerosis
title_short Characterizing Spatial Patterns of Airborne Coarse Particulate (PM(10–2.5)) Mass and Chemical Components in Three Cities: The Multi-Ethnic Study of Atherosclerosis
title_sort characterizing spatial patterns of airborne coarse particulate (pm(10–2.5)) mass and chemical components in three cities: the multi-ethnic study of atherosclerosis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4123025/
https://www.ncbi.nlm.nih.gov/pubmed/24642481
http://dx.doi.org/10.1289/ehp.1307287
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