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Near-road air quality modelling that incorporates...
Journal article

Near-road air quality modelling that incorporates input variability and model uncertainty

Abstract

Dispersion modelling is an effective tool to estimate traffic-related fine particulate matter (PM2.5) concentrations in near-road environments. However, many sources of uncertainty and variability are associated with the process of near-road dispersion modelling, which renders a single-number estimate of concentration a poor indicator of near-road air quality. In this study, we propose an integrated traffic-emission-dispersion modelling chain …

Authors

Wang A; Xu J; Tu R; Zhang M; Adams M; Hatzopoulou M

Journal

Environmental Pollution, Vol. 284, ,

Publisher

Elsevier

Publication Date

September 2021

DOI

10.1016/j.envpol.2021.117145

ISSN

0269-7491