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Journal of the Air & Waste Management Association Volume 68, 2018 - Issue 11
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Technical Paper

Comparing emission rates derived from a model with those estimated using a plume-based approach and quantifying the contribution of vehicle classes to on-road emissions and air quality

Junshi XuDepartment of Civil & Mineral Engineering, University of Toronto, Toronto, Ontario, CanadaView further author information
,
Jonathan WangDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, CanadaView further author information
,
Nathan HilkerDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada
,
Masoud Fallah-ShorshaniDepartment of Civil & Mineral Engineering, University of Toronto, Toronto, Ontario, CanadaView further author information
,
Marc SalehDepartment of Civil & Mineral Engineering, University of Toronto, Toronto, Ontario, CanadaView further author information
,
Ran TuDepartment of Civil & Mineral Engineering, University of Toronto, Toronto, Ontario, CanadaView further author information
,
An WangDepartment of Civil & Mineral Engineering, University of Toronto, Toronto, Ontario, Canada
,
Laura MinetDepartment of Civil & Mineral Engineering, University of Toronto, Toronto, Ontario, Canada
,
Christos StogiosDepartment of Civil & Mineral Engineering, University of Toronto, Toronto, Ontario, CanadaView further author information
,
Greg EvansDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, CanadaView further author information
&
Marianne HatzopoulouDepartment of Civil & Mineral Engineering, University of Toronto, Toronto, Ontario, CanadaCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-7107-7086View further author information
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Pages 1159-1174 | Received 21 Jan 2018, Accepted 31 May 2018, Published online: 11 Jul 2018

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Read on this site (1)

Ran Tu, An Wang & Marianne Hatzopoulou. (2019) Improving the accuracy of emission inventories with a machine-learning approach and investigating transferability across cities. Journal of the Air & Waste Management Association 69:11, pages 1377-1390.
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Articles from other publishers (1)

An Wang, Junshi Xu, Ran Tu, Marc Saleh & Marianne Hatzopoulou. (2020) Potential of machine learning for prediction of traffic related air pollution. Transportation Research Part D: Transport and Environment 88, pages 102599.
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