CERC — Environmental Software and Services

CERC news

< Previous123456789101112131415161718192021222324Next >

Image

31 Jul 2020London road traffic NOx emissions still below 50% of pre-COVID-19 levels

CERC continues to run its inverse modelling system (details in our April News item) to determine NOx emissions in London as easing of the lockdown progresses. The latest model calculations up to July 17 show that whilst there has recently been some increase in emissions, they typically remain below 50% of the pre-COVID values. Consistent with this, London road traffic NOx emissions for our airTEXT air quality forecasting using our ADMS-Urban model are currently set at 40% of 'normal'. Resultant forecasted NO2 concentrations are low compared with usual levels but on average are showing a slight overestimate compared with measured values.

A higher resolution graph may be viewed here.

29 Jun 20202020 ADMS User Group Meetings to be held online, 18-19 November

We are pleased to announce that the 2020 ADMS User Group Meetings will be held on 18th and 19th of November. This year they will be held online due to the ongoing uncertainty around the COVID-19 situation. The 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. More details will be published later this summer.

Image Image

4 Jun 2020Latest CERC research published

Apart from offering environmental consulting services and developing world-leading modelling software, CERC is actively supporting and engaged in research in a range of environmental modelling topics, with three papers being published in recent months.

Our high resolution air dispersion model, ADMS-Urban, has been used to model air quality in Beijing. Research undertaken by CERC's CASE student, Michael Biggart at the University of Edinburgh, has been published in the paper 'Street-scale air quality modelling for Beijing during a winter 2016 measurement campaign'. One challenge of this work was to develop an emissions inventory for this megacity; model predictions have been compared to air quality measurements recorded during the NERC-funded project: 'An Integrated Study of AIR Pollution PROcesses in Beijing (AIRPRO)'. The figures show period-average measurements overlaid on modelled pollutant contours (NO2, top and ozone, bottom) for the region within Beijing's fifth ring road.

Results from one of the first applications of CERC's emissions-optimisation scheme have been published (Carruthers et al., 2019). This method applies a Bayesian inversion technique to high resolution ADMS-Urban modelled concentrations in order to modify pollutant emission rates based on sensor data. The scheme was tested in Cambridge using monitored data from four Cambridge City Council air quality reference monitors and 20 AQMesh sensor pods provided by the University of Cambridge. The optimisation scheme improved model accuracy at the reference sites by reducing estimated road emissions by 6.5% on average and changed the diurnal profile of emissions. This same scheme has been used to estimate emissions reductions resulting from COVID-19 restrictions in London (see 9th April News item).

An article describing the 'Personalised Real-Time Air Quality Informatics System for Exposure – Hong Kong' (PRAISE-HK) system has been published (Che et al., 2020). CERC have been working closely with the Hong Kong University of Science and Technology on this smart city initiative since 2017. The project involves integration of a Linux version of ADMS-Urban in combination with the CMAQ regional model and WRF meteorological data using our Regional Model Link. A real-time personalised exposure app for mobile devices has been developed as part of this project.

For more information about our research, read more of our co-author publications, view our presentations, or contact us. You can also read how other groups are using our environmental software products for research.

Image

29 May 2020Addressing air quality in London's Old Kent Road

The Old Kent Road (OKR) has been designated as an Opportunity Area in the London Plan and Southwark Council are preparing an Area Action Plan. Under the plan, the area will see the addition of 20,000 new homes, 10,000 new jobs and the extension of the Bakerloo Line. With this expected growth, Southwark Council has commissioned CERC to carry out an air quality study to provide a robust, holistic evidence base to support the OKR Area Action Plan air quality policy, which includes modelling wind flows and air quality.

CERC will use ADMS-Urban to assess air quality across the OKR area, accounting for the impact of multiple developments on traffic flows and emissions, and the effect of changes to the built form on the dispersion of pollutants. This requires the use of the urban canopy and advanced street canyon features of ADMS-Urban.

The study will also identify potential air pollution hotspots using highly spatially resolved 3D flow and turbulence fields generated by Wirth Research. This specialised Computational Fluid Dynamics (CFD) output will drive dispersion processes modelled in ADMS-Urban. The ability to import and use 3D CFD data is currently available in the industrial source model ADMS 5, and will be added to ADMS-Urban under this project.

CERC will analyse the differences and similarities between results generated using the two modelling approaches. We will identify toxic pollutant hotspots in the OKR area and make recommendations to mitigate the effects of poor air quality through design solutions, including orientation and layout of buildings and ventilation systems.

Image

14 Apr 2020MAQS-Health: Multi Model Air Quality System for Health Research

CERC is leading a major new and ambitious project, MAQS-Health, which will provide a high resolution prediction capability for outdoor air quality, to support research on personal exposure and health impacts. The 2-year project is developing a coupled air quality modelling system spanning national to urban street scales and accounting for physical and chemical processes at all relevant temporal and spatial scales. The system will be flexible, linking established regional chemical transport models including CMAQ, CAMx, EMEP and WRF-Chem and a new street-scale model ADMS-Local derived from the widely used model ADMS-Urban. A verification module will enable validation of model predictions. The project is funded under the Clean Air Programme of the Strategic Priorities Fund (SPF). The coupled system and ADMS-Local will be available to the UK research community via the SPF Clean Air Framework platform and will have an open structure facilitating system development and modification. The project team brings together CERC's experts in software development and application of local dispersion models (ADMS), and regional model experts from the universities of Birmingham, Edinburgh, Hertfordshire and Lancaster. The team are working closely with the Met Office who led the call for this project, and will continue to liaise with stakeholders as the project progresses.


You can also follow CERC news on Facebook, Twitter, LinkedIn and by RSS.

< Previous123456789101112131415161718192021222324Next >

[top]



© CERC 2020. All rights reserved. Legal disclaimer.

This site uses cookies to store user preferences about visual presentation.

Display: [Normal] [High contrast] [Printer-friendly]