In-vehicle CO ingression: validation through field measurements and mass balance simulations
In-vehicle CO ingression: validation through field measurements and mass balance simulations
In this study a mass balance modeling approach with measured out-vehicle carbon monoxide (CO) levels and trip-specific movement record as boundary conditions were used to simulate in-vehicle CO concentration profiles. The simulation results were coupled with field measurements to demonstrate the occurrence of CO ingression into the vehicle compartment from the engine combustion and/or exhaust return of the test vehicle. Agreement between field and simulation results was obtained for variable amounts of infiltrated CO equivalent to an in-vehicle emission rate of 250 to 1250 mg/h of CO depending on the vehicle ventilation settings
carbon monoxide, in-vehicle exposure, mathematical modeling
75-89
Abi Esber, Layale
205fff01-3927-478e-8664-2dc691bb10a2
El-Fadel, Mutasem
6206783b-f040-458f-90b6-2cb2c361d7ae
May 2008
Abi Esber, Layale
205fff01-3927-478e-8664-2dc691bb10a2
El-Fadel, Mutasem
6206783b-f040-458f-90b6-2cb2c361d7ae
Abi Esber, Layale and El-Fadel, Mutasem
(2008)
In-vehicle CO ingression: validation through field measurements and mass balance simulations.
Science of the Total Environment, 394 (1), .
(doi:10.1016/j.scitotenv.2008.01.034).
Abstract
In this study a mass balance modeling approach with measured out-vehicle carbon monoxide (CO) levels and trip-specific movement record as boundary conditions were used to simulate in-vehicle CO concentration profiles. The simulation results were coupled with field measurements to demonstrate the occurrence of CO ingression into the vehicle compartment from the engine combustion and/or exhaust return of the test vehicle. Agreement between field and simulation results was obtained for variable amounts of infiltrated CO equivalent to an in-vehicle emission rate of 250 to 1250 mg/h of CO depending on the vehicle ventilation settings
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Published date: May 2008
Keywords:
carbon monoxide, in-vehicle exposure, mathematical modeling
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Local EPrints ID: 52965
URI: http://eprints.soton.ac.uk/id/eprint/52965
ISSN: 0048-9697
PURE UUID: 95c8d2d8-c360-4e0d-9ab9-3c8a741b66a7
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Date deposited: 16 Jul 2008
Last modified: 15 Mar 2024 10:39
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Author:
Layale Abi Esber
Author:
Mutasem El-Fadel
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