DOI: 10.1016/j.atmosenv.2016.11.028
Scopus记录号: 2-s2.0-84995921612
论文题名: Use of population exposure frequency distributions to simulate effects of policy interventions on NO2 exposure
作者: Dimitroulopoulou C ; , Ashmore M ; R ; , Terry A ; C
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 150 起始页码: 1
结束页码: 14
语种: 英语
英文关键词: Indoor air pollution
; Modelling
; Nitrogen dioxide
; Personal exposure
Scopus关键词: Air pollution
; Exposure controls
; Forecasting
; Housing
; Indoor air pollution
; Models
; Nitrogen oxides
; Office buildings
; Pollution
; Pollution control
; Probability distributions
; Roadsides
; Air exchange rates
; Frequency distributions
; Indoor/outdoor ratios
; Nitrogen dioxides
; Personal exposures
; Policy intervention
; Population exposure
; Probabilistic modelling
; Population distribution
; nitrogen dioxide
; atmospheric pollution
; concentration (composition)
; emission control
; health impact
; household survey
; indoor air
; nitrogen dioxide
; policy making
; pollution exposure
; roadside environment
; adult
; aged
; air pollutant
; Article
; child
; controlled study
; cooking
; environmental exposure
; environmental monitoring
; environmental planning
; female
; human
; male
; microenvironment
; normal human
; personal exposure frequency distribution
; population distribution
; population exposure
; priority journal
; smoking
; summer
; winter
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: Health effects of air pollution on individuals depend on their personal exposure, but few modelling tools are available which can predict how the distribution of personal exposures within a city will change in response to policies to reduce emissions both indoors and outdoors. We describe a new probabilistic modelling framework (INDAIR-2/EXPAIR), which provides predictions of the personal exposure frequency distribution (PEFD) across a city to assess the effects of both reduced emissions from home sources and reduced roadside concentrations on population exposure. The model uses a national time activity database, which gives the percentage of each population group in different residential and non-residential micro-environments, and links this, for the home, to predictions of concentrations from a three-compartment model, and for non-residential microenvironments to empirical indoor/outdoor ratios. This paper presents modelled PEFDs for NO2 in the city of Leicester, for children, the elderly, and office workers, comparing results in different seasons and on different days of the week. While the mean NO2 population exposure was close to, or below the urban background concentration, the 95%ile of the PEFD was well above the urban background concentration. The relationship between both mean and 95%ile PEFD and urban background concentrations was strongly influenced by air exchange rate. The 24 h mean PEFD showed relative small differences between the population groups, with both removal of home sources and reductions of roadside concentrations on roads with a high traffic density having similar effects in reducing mean exposure. In contrast, the 1 h maximum of the PEFD was significantly higher for children and the elderly than for office workers, and showed a much greater response to reduced home emissions in these groups. The results demonstrate the importance of understanding the dynamics of NO2 exposure at a population level within different groups, if the benefits of policy interventions are to be accurately assessed. © 2016 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82259
Appears in Collections: 气候变化事实与影响
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作者单位: Environmental Change Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, United Kingdom; Stockholm Environment Institute, University of York, Environment Building, Wentworth Way, York, United Kingdom
Recommended Citation:
Dimitroulopoulou C,, Ashmore M,R,et al. Use of population exposure frequency distributions to simulate effects of policy interventions on NO2 exposure[J]. Atmospheric Environment,2017-01-01,150