DOI: 10.1016/j.atmosenv.2018.03.030
Scopus记录号: 2-s2.0-85044590862
论文题名: Operational evaluation of the RLINE dispersion model for studies of traffic-related air pollutants
作者: Milando C ; W ; , Batterman S ; A
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 182 起始页码: 213
结束页码: 224
语种: 英语
英文关键词: Dispersion model
; Exposure
; Model evaluation
; RLINE
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: Exposure to traffic-related air pollutants (TRAP) remains a key public health issue, and improved exposure measures are needed to support health impact and epidemiologic studies and inform regulatory responses. The recently developed Research LINE source model (RLINE), a Gaussian line source dispersion model, has been used in several epidemiologic studies of TRAP exposure, but evaluations of RLINE's performance in such applications have been limited. This study provides an operational evaluation of RLINE in which predictions of NOx, CO and PM2.5 are compared to observations at air quality monitoring stations located near high traffic roads in Detroit, MI. For CO and NOx, model performance was best at sites close to major roads, during downwind conditions, during weekdays, and during certain seasons. For PM2.5, the ability to discern local and particularly the traffic-related portion was limited, a result of high background levels, the sparseness of the monitoring network, and large uncertainties for certain processes (e.g., formation of secondary aerosols) and non-mobile sources (e.g., area, fugitive). Overall, RLINE's performance in near-road environments suggests its usefulness for estimating spatially- and temporally-resolved exposures. The study highlights considerations relevant to health impact and epidemiologic applications, including the importance of selecting appropriate pollutants, using appropriate monitoring approaches, considering prevailing wind directions during study design, and accounting for uncertainty. © 2018 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82850
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. Operational evaluation of the RLINE dispersion model for studies of traffic-related air pollutants[J]. Atmospheric Environment,2018-01-01,182