DOI: 10.1016/j.atmosenv.2013.11.026
Scopus记录号: 2-s2.0-84889577220
论文题名: Toward refined estimates of ambient PM2.5 exposure: Evaluation of a physical outdoor-to-indoor transport model
作者: Hodas N ; , Meng Q ; , Lunden M ; M ; , Turpin B ; J
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 83 起始页码: 229
结束页码: 236
语种: 英语
英文关键词: Aerosol Penetration and Persistence (APP) model
; Gas-particle partitioning
; Organic aerosol
; Relationships of Indoor, Outdoor, and Personal Air (RIOPA) study
Scopus关键词: Aerosols
; Housing
; Population statistics
; Air exchange rates
; Carbon concentrations
; Epidemiologic-study
; Gas-particle partitioning
; Indoor concentration
; Organic aerosol
; Relationships of Indoor, Outdoor, and Personal Air (RIOPA) study
; Species concentration
; Models
; organic carbon
; concentration (composition)
; epidemiology
; estimation method
; flow modeling
; human activity
; particulate matter
; pollution exposure
; residential location
; transport process
; air conditioning
; article
; environmental exposure
; evaluation
; heating
; human
; human activities
; particulate matter
; prediction
; priority journal
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Because people spend the majority of their time indoors, the variable efficiency with which ambient PM2.5 penetrates and persists indoors is a source of error in epidemiologic studies that use PM2.5 concentrations measured at central-site monitors as surrogates for ambient PM2.5 exposure. To reduce this error, practical methods to model indoor concentrations of ambient PM2.5 are needed. Toward this goal, we evaluated and refined an outdoor-to-indoor transport model using measured indoor and outdoor PM2.5 species concentrations and air exchange rates from the Relationships of Indoor, Outdoor, and Personal Air Study. Herein, we present model evaluation results, discuss what data are most critical to prediction of residential exposures at the individual-subject and populations levels, and make recommendations for the application of the model in epidemiologic studies. This paper demonstrates that not accounting for certain human activities (air conditioning and heating use, opening windows) leads to bias in predicted residential PM2.5 exposures at the individual-subject level, but not the population level. The analyses presented also provide quantitative evidence that shifts in the gas-particle partitioning of ambient organics with outdoor-to-indoor transport contribute significantly to variability in indoor ambient organic carbon concentrations and suggest that methods to account for these shifts will further improve the accuracy of outdoor-to-indoor transport models. © 2013 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80812
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Environmental Sciences, Rutgers University, 14 College Farm Rd., New Brunswick, NJ 08901, United States; School of Public Health, Rutgers University, 683 Hoes Lane West, Piscataway, NJ 08854, United States; Environmental and Occupational Health Sciences Institute, 170 Frelinghuysen Rd., Piscataway, NJ 08854, United States; Atmospheric Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
Recommended Citation:
Hodas N,, Meng Q,, Lunden M,et al. Toward refined estimates of ambient PM2.5 exposure: Evaluation of a physical outdoor-to-indoor transport model[J]. Atmospheric Environment,2014-01-01,83