globalchange  > 气候变化事实与影响
DOI: 10.1289/ehp.1307287
论文题名:
Characterizing Spatial Patterns of Airborne Coarse Particulate (PM10–2.5) Mass and Chemical Components in Three Cities: The Multi-Ethnic Study of Atherosclerosis
作者: Kai Zhang; 1 Timothy V. Larson; 2; 3 Am; a Gassett; 3 Adam A. Szpiro; 4 Martha Daviglus; 5 Gregory L. Burke; 6 Joel D. Kaufman; 3; 7; Sara D. Adar8
刊名: Environmental Health Perspectives
ISSN: 0091-7486
出版年: 2014
卷: Volume 122, 期:Issue 8
起始页码: 823
语种: 英语
英文摘要: 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.
URL: https://ehp.niehs.nih.gov/1307287
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/12815
Appears in Collections:气候变化事实与影响
气候变化与战略

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作者单位: 1Division of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, Texas, USA; 2Department of Civil and Environmental Engineering, 3Department of Environmental and Occupational Health Sciences, and 4Department of Biostatistics, University of Washington, Seattle, Washington, USA; 5Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA; 6Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA; 7Department of Epidemiology, University of Washington, Seattle, Washington, USA; 8Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA

Recommended Citation:
Kai Zhang,1 Timothy V. Larson,2,et al. Characterizing Spatial Patterns of Airborne Coarse Particulate (PM10–2.5) Mass and Chemical Components in Three Cities: The Multi-Ethnic Study of Atherosclerosis[J]. Environmental Health Perspectives,2014-01-01,Volume 122(Issue 8):823
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