The Atmospheric Dispersion Modelling Liaison Committee (ADMLC) is a committee composed of dispersion modelling experts and practitioners primarily, but not exclusively, from various government agencies in the UK and Ireland. Its main aim is to review current issues and facilitate the exchange of knowledge in atmospheric dispersion modelling and related phenomena. In 2018, the ADMLC ran a short expert-elicitation exercise amongst its members to categorise the topics of interest to each member, to describe the maturity of these topics, and to identify knowledge gaps and outstanding issues. This article summarises the findings from that survey, with a focus on the knowledge gaps and their level of importance to the community represented by the ADMLC membership. The issues identified in the survey span a range of subjects, including: modelling improvements, validation, logistics, sensitivity and uncertainty, guidance and communication. The top four topics, which are currently of most interest to the Committee, are: 1.) deposition, 2.) modelling of source terms in an emergency, when there is limited information available, 3.) fire source terms and associated plume rise, and 4.) understanding meteorological uncertainties. The ADMLC will seek to prioritise research on these topics in the future.
|Publication status||Published - 2019|
|Event||19th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Harmo 2019 - Bruges, Belgium|
Duration: 3 Jun 2019 → 6 Jun 2019
|Conference||19th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Harmo 2019|
|Period||3/06/19 → 6/06/19|
Bibliographical noteFunding Information:
This work was funded by each of the respective ADMLC contributor?s organisations. The contents, including any opinions and/or conclusions expressed, are those of the authors alone and do not necessarily reflect the policy of those organisations.
© Crown Copyright, 2019.
Copyright 2020 Elsevier B.V., All rights reserved.
- Dispersion modelling
- Knowledge gaps
- Research priorities