DOI: 10.1016/j.atmosenv.2018.03.009
Scopus记录号: 2-s2.0-85044070842
论文题名: Sensitivity analysis of the near-road dispersion model RLINE - An evaluation at Detroit, Michigan
作者: Milando C ; W ; , Batterman S ; A
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 181 起始页码: 135
结束页码: 144
语种: 英语
英文关键词: Dispersion model
; Exposure
; Model evaluation
; RLINE
; Sensitivity analysis
Scopus关键词: Atmospheric movements
; Health
; Health risks
; Monitoring
; Roads and streets
; Average concentration
; Concentration prediction
; Dispersion modeling
; Exposure
; Mobile source emissions
; Model evaluation
; RLINE
; Statistical performance
; Sensitivity analysis
; atmospheric modeling
; atmospheric pollution
; concentration (composition)
; dispersion
; emission inventory
; exhaust emission
; health risk
; pollution exposure
; road
; sensitivity analysis
; traffic emission
; urban pollution
; Detroit
; Michigan
; United States
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: The development of accurate and appropriate exposure metrics for health effect studies of traffic-related air pollutants (TRAPs) remains challenging and important given that traffic has become the dominant urban exposure source and that exposure estimates can affect estimates of associated health risk. Exposure estimates obtained using dispersion models can overcome many of the limitations of monitoring data, and such estimates have been used in several recent health studies. This study examines the sensitivity of exposure estimates produced by dispersion models to meteorological, emission and traffic allocation inputs, focusing on applications to health studies examining near-road exposures to TRAP. Daily average concentrations of CO and NOx predicted using the Research Line source model (RLINE) and a spatially and temporally resolved mobile source emissions inventory are compared to ambient measurements at near-road monitoring sites in Detroit, MI, and are used to assess the potential for exposure measurement error in cohort and population-based studies. Sensitivity of exposure estimates is assessed by comparing nominal and alternative model inputs using statistical performance evaluation metrics and three sets of receptors. The analysis shows considerable sensitivity to meteorological inputs; generally the best performance was obtained using data specific to each monitoring site. An updated emission factor database provided some improvement, particularly at near-road sites, while the use of site-specific diurnal traffic allocations did not improve performance compared to simpler default profiles. Overall, this study highlights the need for appropriate inputs, especially meteorological inputs, to dispersion models aimed at estimating near-road concentrations of TRAPs. It also highlights the potential for systematic biases that might affect analyses that use concentration predictions as exposure measures in health studies. © 2018 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82917
Appears in Collections: 气候变化事实与影响
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作者单位: Environmental Health Sciences, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, United States
Recommended Citation:
Milando C,W,, Batterman S,et al. Sensitivity analysis of the near-road dispersion model RLINE - An evaluation at Detroit, Michigan[J]. Atmospheric Environment,2018-01-01,181