A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
An integrated modelling approach to estimate urban traffic emissions
Abstract 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, ∼90 times lower) and NO2 (0.4 mg/m3, ∼12 times lower), within the National Ambient Air Quality Objectives established by Environment Canada.
Highlights Incorporated disaggregate traffic microsimulation to estimate vehicular emissions. Validated an integrated microscale air quality modelling framework for CO and NOx. Statistically evaluated performance of QUIC an AERMOD dispersion models. QUIC predicts concentrations for NOx more accurately than CO, compared to AERMOD.
An integrated modelling approach to estimate urban traffic emissions
Abstract 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, ∼90 times lower) and NO2 (0.4 mg/m3, ∼12 times lower), within the National Ambient Air Quality Objectives established by Environment Canada.
Highlights Incorporated disaggregate traffic microsimulation to estimate vehicular emissions. Validated an integrated microscale air quality modelling framework for CO and NOx. Statistically evaluated performance of QUIC an AERMOD dispersion models. QUIC predicts concentrations for NOx more accurately than CO, compared to AERMOD.
An integrated modelling approach to estimate urban traffic emissions
Misra, Aarshabh (author) / Roorda, Matthew J. (author) / MacLean, Heather L. (author)
Atmospheric Environment ; 73 ; 81-91
2013-03-08
11 pages
Article (Journal)
Electronic Resource
English
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