Amy Stidworthy from CERC recently presented preliminary results from an ongoing project to optimise ADMS-Urban modelling using data from a network of low cost pollution sensors at IAQM's annual conference for dispersion modellers, DMUG 2017. This work is part of a wider collaboration between CERC, Cambridge University, Cambridge City Council, Cambridgeshire County Council and AQMesh to investigate how modelled and monitored data can be used together to improve urban air quality assessment.
Amy's presentation describes an optimisation scheme, developed at CERC, that minimises the part of dispersion model error which is due to emissions data error by adjusting emission rates on an hourly basis to optimise model performance in comparison with sensor data; the scheme accounts for estimated uncertainty in the sensor and emissions data and complex co-variance between individual source emissions error and between individual sensor error. To view the presentation click here. To view all the presentations from DMUG 2017 click here.
Defra's recent Air Quality Briefing for Directors of Public Health says “clear public health messages enable the public to reduce their personal exposure... this is beneficial for the general population and those with existing health conditions. Examples of successful implementation of health communication include air quality services such as airTEXT.”
airTEXT has provided a public air quality and health information service for London since 2007 and has recently expanded to Colchester and Chelmsford. It offers three-day air quality forecasts for O3, NO2, PM10 and PM2.5 at street-scale resolution using CERC's ADMS-Urban modelling system. People who sign up to the airTEXT pollution alerts receive free voice, email or text messages when air pollution is forecast to be moderate or higher. airTEXT is operated by CERC in partnership with a consortium made up of representatives from all the member local authorities, the GLA, Public Health England and the Environment Agency.
CERC are partners in a new 5-year air quality (AQ) & health project that will develop a real-time, urban AQ modelling system capable of analysing and forecasting pollution levels in Hong Kong down to individual street level. PRAISE-HK (Personalised Real-time Air quality Information System for Exposure – Hong Kong) is being led by the Hong Kong University of Science and Technology with contributions from a number of other Hong Kong partners and CERC, and is part of the HSBC 150th anniversary charity programme.
The Hong Kong forecasting system will use the CMAQ regional model with WRF meteorological data coupled to a Linux version of CERC's ADMS-Urban high-resolution air quality model with its Regional Model Link allowing calculation of air pollution forecast maps at street-scale resolution. The schematic shows how the project will progress.
GPS-based real-time estimates of pollutant concentrations will be made available to the public via a website and a mobile app. The app will provide personalised pollutant exposure information relating to different periods of the day, and will be able to predict exposure levels relating to routes and modes of transport selected by the user.
The project also includes measurements and characterisation of AQ variations in different indoor microenvironments around HK. Various community groups will be targeted to help them better understand how outdoor ambient air conditions impacts on indoor AQ. You can sign up for the PRAISE-HK newsletter if you wish to keep informed of the Hong Kong developments.
The 2017 User Group Meetings will be held in Birmingham on 1st and 2nd November.
These meetings will include the usual mix of presentations by CERC staff and software users and are the ideal opportunity to hear the latest news and advice on new model features.
Users with a valid support contract are entitled to a number of free or reduced-rate delegate places depending on the type of licence held. Please contact CERC if there is a topic you would like to be covered at one of the meetings or if you would like to give a ‘user view’ presentation. More details will be published later in the year; registration will open online in the Summer.
ADMS-Urban & ADMS-Roads are comprehensive tools for investigating air pollution taking account of complex urban morphology including street canyons and road tunnels. ADMS-Roads is designed primarily for networks of roads that may be in combination with industrial sites, for instance small towns or rural road networks. ADMS-Urban can model large urban areas providing output from street-scale to urban-scale.
New features in version 4.1 include:
For more information about all the new features please see the relevant What’s New? guide.
Eligible users should log in to the User Area in order to download the new versions.
For further information please contact us.