Urban air quality modelling with ADMS-Urban – Optimising model performance
2:30 pm
HKUST Campus Room 2404 (Lifts 17-18)


The air quality model ADMS-Urban is able to represent the fine scale variations in pollutant concentrations in an urban area by explicitly modelling urban sources including roads.  Causes of model errors arise principally from uncertainty in the emissions, in the underlying flow and turbulence fields and in the dispersion algorithms themselves. In this presentation the focus is on emission uncertainty: a Bayesian based inversion methodology, taking account of uncertainty in measured concentrations, is applied to model to optimise estimates of road traffic emissions using a network of sensors in Cambridge. This approach is compared with adjustments of standard emission factors using remote sensing, a methodology which has also been tested in application of ADMS-Urban to London.


David Carruthers is a director of CERC and has been involved with the company since its inception in 1986.  His scientific background is in the structure of the atmospheric boundary layer, atmospheric processes and dispersion. He has overall responsibility for the development of CERC software including the Atmospheric Dispersion Modelling System (ADMS) and CERC’s urban modelling systems. He is a member of the UK Department of Environment’s Air Quality Expert Group (AQEG) and is a partner in PRAISE-HK.

2:30 pm
HKUST Campus Room 2404 (Lifts 17-18)
HKUST Academic Building, Clear Water Bay, Kowloon
Organised by Division of Environment and Sustainability
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