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1 Mar 2024EFT 12 update for ADMS-Roads, ADMS-Urban and ADMS-Airport

The UK Department for Environment, Food & Rural Affairs and the Devolved Administrations have released version 12 of the Emissions Factors Toolkit (EFT). Details of the changes for this version are given in the EFT user guide.

We have processed the new EFT and published an update for ADMS-Roads, ADMS-Urban and ADMS-Airport version 5 on the Other downloads page of our User Area. If you are registered, you can go straight to the download folder. If you are not registered, follow the instructions on the User Area main page.

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29 Feb 2024DHAQ-SEA - Demonstration of High-resolution Air Quality forecasting in South East Asia

There is an increased risk of certain health conditions where ambient air pollution levels are high. CERC are working on a feasibility study for high-resolution (street-scale) air quality forecasting in South East Asia. ASEAN countries can be subject to poor air quality as a consequence of transboundary pollution as well as local pollutant sources. Alerting the public prior to air pollution episodes allows vulnerable and other individuals to take action to reduce the health impacts of poor air quality. The MAQS coupled system is being used to ensure that both regional (using data from CAMS) and local (modelled using ADMS-Urban) contributions to pollution are accounted for.

CERC is working closely with project partners from the Institute for Environment and Resources, Vietnam National University, Ho Chi Minh City and the Department of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia. The project will generate high resolution pollution maps corresponding to air pollution episodes for two distinct domains, one in Malaysia and one covering parts of southern Vietnam and Cambodia. Key ASEAN stakeholders will be invited to an online workshop to discuss project outcomes during May 2024.

This project will demonstrate that regional to-local-scale air quality forecasting systems could be implemented throughout ASEAN because: the modelling system relies primarily on open data sources; MAQS allows both local and regional contributions to ambient pollution to be accounted for; and CERC are highly experienced in the provision of air quality forecasting services.

The study has received Official Development Assistance (ODA) funding from the UK government Foreign, Commonwealth & Development Office (FCDO) under the Research and Innovation for Development in ASEAN (RIDA) programme. The project focus is on the RIDA priority area 'Health', addressing Sustainable Development Goal (SDG) 3 'Ensure healthy lives and promote well-being for all at all ages.'

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30 Jan 2024Exploring air quality model evaluation techniques

Comparisons of modelled and measured data are a key part of evaluating model performance. CERC's latest project for the Atmospheric Dispersion Modelling Liaison Committee (ADMLC) is investigating approaches to air quality model evaluation. A literature review is identifying established and emerging model evaluation techniques and performance metrics for a variety of model types and applications. Case studies will then be used to test the different performance metrics individually and in combination. The project aims to develop best practice recommendations for evaluating a broad range of model applications, reporting late in 2024.

CERC have extensive experience of model evaluation through assessments of the ADMS family of models and inter-comparisons with other models. Jenny Stocker, CERC's Associate Director (Research) has been a long-standing participant in the Forum for Air Quality Modelling (FAIRMODE) initiative which has developed model quality and model performance indicators. CERC have developed and made public the 'Model Evaluation Toolkit' which allows user-friendly access to a broad selection of graphical and statistical model evaluation analyses. The Model Evaluation Toolkit was originally developed under the FP7 PASODOBLE project and recently extended under the SPF Clean Air Programme MAQS-Health project. It makes use of Openair functions and can additionally generate the statistics and graphics recommended by FAIRMODE. The image shows polar plots of the measured and modelled variation of hourly average NOx concentrations (units ppb) with wind speed and direction at the Schildhornstrasse site in Berlin produced using the Model Evaluation Toolkit, as published in Seaton et al. (2022).

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24 Jan 2024Published recommendations for use of NWP meteorological data in dispersion modelling

CERC's investigation of the impacts of using modelled (NWP) meteorological data on dispersion modelling outcomes has now been published by the Atmospheric Dispersion Modelling Liaison Committee (ADMLC). The project was commissioned to examine the effects of NWP model grid resolution on dispersion modelling, in both regulatory and emergency planning contexts, and to make recommendations for the use of NWP data in dispersion modelling.

The report begins with an evaluation of NWP outputs in comparison with meteorological observations at eight UK sites (shown on the map). This is followed by a comparison of ADMS and AERMOD dispersion outcomes for idealised sources at four locations with observed and modelled meteorological data. The report also includes an investigation of the interaction between fine-scale NWP data and local flowfield modelling using the FLOWSTAR model for flow over complex terrain in ADMS. Finally, there are results from the UK Health Security Agency (UKHSA) investigation of the effects of NWP grid resolution on the outcomes of probabilistic accident consequence modelling with the PACE model.

Interim results from the project were presented at CERC's ADMS User Group Meetings in 2022 and 2023; the presentations are available from the User Area. Christina Hood from CERC will also present the sensitivity of ADMS and AERMOD dispersion outputs to varying input meteorological data at the international conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes (Harmo) in June 2024.

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18 Dec 2023Review of methods for monitoring and modelling air quality

CERC recently contributed modelling expertise to a comprehensive Environment Agency (EA) report that reviewed methods for air quality monitoring and modelling, and their integration. The report examines both well-established techniques already employed by the EA, such as Gaussian plume dispersion for air quality modelling, and emerging technologies, such as data assimilation and machine learning for integration. Factors such as spatial-temporal resolution, cost considerations, the maturity of the technique, and requisite user expertise are evaluated. The report provides practical recommendations on the suitability of different air quality assessment techniques for EA requirements, including their regulatory responsibilities.

The report is a significant collaborative effort engaging experts across governmental, industrial and academic sectors, with specialist knowledge in emission measurements, air quality measurements, and modelling – many thanks to AQC, Aether and all involved! It offers valuable insight for those interested in the rapidly evolving landscape of air quality techniques.


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