Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6340942 | Atmospheric Environment | 2014 | 10 Pages |
Abstract
The proposed approach is useful in situations where ambient records from an upwind background station are not available (as required by other techniques) and is potentially transferable to situations such as intersections and arterial roads. Applying this technique to longer time series could help to understand the changes in pollutant concentrations from the road and background sources for different emission scenarios, for different years or seasons. Modelling results also show the potential of such a hybrid semi-empirical models to contribute to our understanding of the physical parameters determining air quality and to validate emissions inventory data.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Atmospheric Science
Authors
M.A. Elangasinghe, K.N. Dirks, N. Singhal, S.B. Costello, I. Longley, J.A. Salmond,