Davison, J, Bernard, Y, Borken-Kleefeld, J et al. (6 more authors) (2020) Distance-based emission factors from vehicle emission remote sensing measurements. Science of The Total Environment, 739. 139688. ISSN 0048-9697
Abstract
Vehicle emission remote sensing has the potential to provide detailed emissions information at a highly disaggregated level owing to the ability to measure thousands of vehicles in a single day. Fundamentally, vehicle emission remote sensing provides a direct measure of the molar volume ratio of a pollutant to carbon dioxide, from which fuel-based emissions factors can readily be calculated. However, vehicle emissions are more commonly expressed in emission per unit distance travelled e.g. grams per km or mile. To express vehicle emission remote sensing data in this way requires an estimate of the fuel consumption at the time of the emission measurement. In this paper, an approach is developed based on vehicle specific power that uses commonly measured or easily obtainable vehicle information such as vehicle speed, acceleration and mass. We test the approach against 55 independent comprehensive PEMS measurements for Euro 5 and 6 gasoline and diesel vehicles over a wide range of driving conditions and find good agreement between the method and PEMS data. The method is applied to individual vehicle model types to quantify distance-based emission factors. The method will be appropriate for application to larger vehicle emission remote sensing databases, thus extending real-world distance-based vehicle emissions information.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Funding Information: | Funder Grant number Federal Office for the Environment no external ref EU - European Union 814966 |
Depositing User: | Symplectic Publications |
Date Deposited: | 25 Jun 2020 10:10 |
Last Modified: | 25 Jun 2020 10:10 |
Status: | Published |
Publisher: | Elsevier BV |
Identification Number: | 10.1016/j.scitotenv.2020.139688 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:162280 |