An integrated modelling approach to estimate urban traffic emissions

被引:45
|
作者
Misra, Aarshabh [1 ]
Roorda, Matthew J. [1 ]
MacLean, Heather L. [1 ,2 ]
机构
[1] Univ Toronto, Dept Civil Engn, Toronto, ON M5S 1A4, Canada
[2] Univ Toronto, Dept Chem Engn & Appl Chem, Toronto, ON M5S 1A4, Canada
关键词
Urban; Traffic; Emission; Air quality modelling; Dispersion; DISPERSION MODELS; AIR-QUALITY; POLLUTANT CONCENTRATION; ROAD MICROENVIRONMENTS; ULTRAFINE PARTICLES; SPATIAL VARIABILITY; MATHEMATICAL-MODEL; VEHICLE WAKE; WIND FLOW; PART II;
D O I
10.1016/j.atmosenv.2013.03.013
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
An integrated modelling approach is adopted to estimate microscale urban traffic emissions. The modelling framework consists of a traffic microsimulation model developed in PARAMICS, a microscopic emissions model (Comprehensive Modal Emissions Model), and two dispersion models, AERMOD and the Quick Urban and Industrial Complex (QUIC). This framework is applied to a traffic network in downtown Toronto, Canada to evaluate summer time morning peak traffic emissions of carbon monoxide (CO) and nitrogen oxides (NOx) during five weekdays at a traffic intersection. The model predicted results are validated against sensor observations with 100% of the AERMOD modelled CO concentrations and 97.5% of the QUIC modelled NOx concentrations within a factor of two of the corresponding observed concentrations. Availability of local estimates of ambient concentration is useful for accurate comparisons of predicted concentrations with observed concentrations. Predicted and sensor measured concentrations are significantly lower than the hourly threshold Maximum Acceptable Levels for CO (31 ppm, similar to 90 times lower) and NO2 (0.4 mg/m(3), similar to 12 times lower), within the National Ambient Air Quality Objectives established by Environment Canada. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:81 / 91
页数:11
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