DOI: 10.1016/j.atmosenv.2016.12.014
Scopus记录号: 2-s2.0-85005982466
论文题名: A tunnel study to validate motor vehicle emission prediction software in Australia
作者: Smit R ; , Kingston P ; , Wainwright D ; H ; , Tooker R
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 151 起始页码: 188
结束页码: 199
语种: 英语
英文关键词: Emissions
; Motor vehicle
; Road traffic
; Tunnel
; Validation
Scopus关键词: Crashworthiness
; Particulate emissions
; Roads and streets
; Transportation
; Tunnels
; Vehicles
; Contributing factor
; Correction factors
; International studies
; Motor vehicle
; Motor vehicle emissions
; Prediction errors
; Road traffic
; Validation
; Computer software
; carbon monoxide
; nitric oxide
; airflow
; atmospheric pollution
; automobile
; environmental factor
; nitrogen oxides
; PAH
; particulate matter
; research work
; simulation
; software
; traffic emission
; tunnel
; volatile organic compound
; accuracy
; airflow
; analytical error
; Article
; Australia
; exhaust gas
; particulate matter
; prediction
; priority journal
; simulation
; software
; validation study
; Australia
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: A tunnel emissions study was conducted to (partially) validate the Australian vehicle emissions software COPERT Australia and PIARC emission factors. The in-tunnel fleet mix differs substantially from the average on-road fleet, leading to lower emissions by a factor of about 2. Simulation with the PΔP software found that in-tunnel air-flow compensates to a large extent for road gradient impacts on NOx emissions. PIARC emission factors are conservative and exhibit the largest prediction errors, except for one very good agreement for LDV NOx. COPERT Australia is generally accurate at fleet level for CO, NOx, PM2.5 and PM10, when compared with other international studies, and consistently underestimates emissions by 7%–37%, depending on the pollutant. Possible contributing factors are under-representation of high/excessive emitting vehicles, inaccurate mileage correction factors, and lack of empirical emissions data for Australian diesel cars. The study results demonstrate a large uncertainty in speciated VOC and PAH emission factors. © 2016 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82251
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Science, Information Technology and Innovation (DSITI), GPO Box 5078, Brisbane, Australia; University of Queensland, School of Civil Engineering, Brisbane, Australia
Recommended Citation:
Smit R,, Kingston P,, Wainwright D,et al. A tunnel study to validate motor vehicle emission prediction software in Australia[J]. Atmospheric Environment,2017-01-01,151