Neighbourhood-scale flow regimes and pollution transport in cities
Bannister, Edward J., Cai, Xiaoming, Zhong, Jian ORCID: https://orcid.org/0000-0003-1026-8695 and Rob MacKenzie, A. (2020) Neighbourhood-scale flow regimes and pollution transport in cities. Boundary-Layer Meteorology, 179. pp. 259-289. ISSN 0006-8314 (Print), 1573-1472 (Online) (doi:10.1007/s10546-020-00593-y)
Preview |
PDF (Open Access Article)
49376 ZHONG_ Neighbourhood-Scale_Flow_Regimes_And_Pollution_Transport_In_Cities_(OA)_2020.pdf - Published Version Available under License Creative Commons Attribution. Download (6MB) | Preview |
Abstract
Cities intimately intermingle people and air pollution. It is very difficult to monitor or model neighbourhood-scale pollutant transport explicitly. One computationally efficient way is to treat neighbourhoods as patches of porous media to which the flow adjusts. Here we use conceptual arguments and large-eddy simulation to formulate two flow regimes based on the size of patches of different frontal-area density within neighbourhoods. One of these flow regimes distributes pollutants in counter-intuitive ways, such as producing pollution ‘hot spots’ in patches of lower frontal-area density. The regimes provide the first quantitative definition of the ‘urban background’, which can be used for more precisely targeted pollution monitoring. They also provide a conceptual basis for further research into neighbourhood-scale air-pollution problems, such as parametrizations in mesoscale models, and the transport of fluid constituents in other porous media.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | neighbourhood scale, scalar transport, urban background, urban canopy, urban pollution |
Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences N Fine Arts > NA Architecture Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) |
Last Modified: | 17 Jan 2025 15:58 |
URI: | http://gala.gre.ac.uk/id/eprint/49376 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year