Managing Air for Green Inner Cities
Lead Research Organisation:
University of Cambridge
Department Name: Applied Maths and Theoretical Physics
Abstract
The challenge articulated in this proposal is: how to develop cities with no air pollution and no heat-island effect by 2050?
It is difficult to predict with precision the future of cities, but there will be significant adaptations and changes by 2050, due to advances in technology, changing populations, social expectations and climate change. A roadmap is needed to ensure that decisions taken as the city evolves lead towards a sustainable future. Approximately half of the energy use, carbon dioxide emissions and exposure to air pollution in cities is due to either buildings or transportation, and this total energy use is increasing. Air pollution is projected to be the leading global cause of mortality by 2050. Therefore the question posed here in terms of air quality and temperature rise is important in its own right. However, these quantities together also provide, perhaps uniquely, specific measurable physical properties that cover an entire city and provide a metric for assessing the sustainability of system-wide decisions.
Traditional approaches to urban environmental control rely on energy-consuming and carbon/toxics-producing heating, ventilation and air conditioning (HVAC) systems. These traditional approaches produce an unsustainable cycle of increasing energy use with associated emissions of carbon dioxide and pollutants leading to rising temperatures implying, in turn, greater use of HVAC. Breaking this vicious cycle requires a completely different engineered solution, one that couples with natural systems and does not depend solely on mechanical systems. This project will develop a facility consisting of an integrated suite of models and an associated management and decision support system that together allow the city design and its operation to manage the air so that it becomes its own HVAC system, with clean, cool air providing low-energy solutions for health and comfort. This will be achieved by using natural ventilation in buildings to reduce demand for energy and ensuring air pollutants are diluted below levels that cause adverse health effects, coupled with increased albedo to reduce the heat island effect plus green (parks) and blue (water) spaces to provide both cooling and filtration of pollutants.
We have brought together a trans-disciplinary research team to construct this facility. It will be comprised of three components: (i) a fully resolved air quality model that interacts with sensor data and provides detailed calculations of the air flow, pollutant and temperature distributions in complex city geometries and is fully coupled to naturally ventilated buildings, and green and blue spaces; (ii) reduced order models that allow rapid calculations for real time analysis and emergency response; and (iii) a cost-benefit model to assess the economic, social and environmental viability of options and decision.
The scientific air quality component is a fully-resolved computational model that couples external and internal flows in naturally ventilated buildings at the building, block and borough scales. It will be supported and validated by field measurements at selected sites and by wind tunnel and salt-bath laboratory studies. The reduced order models will be developed from the computational model and from laboratory process studies, and will be capable of producing gross features such as mean pollutant concentrations and temperatures. They will be used to provide capabilities for scoping studies, and real-time and emergency response. The cost-benefit model will provide the link between the scientific and engineering models and implementation advice. It will include modules for the built environment, public spaces and transportation, and provide estimates of the life-cycle costs and benefits of the various scenarios at the individual building, city block and borough scales. Eventually, it is envisaged that this will also include social and health effects.
It is difficult to predict with precision the future of cities, but there will be significant adaptations and changes by 2050, due to advances in technology, changing populations, social expectations and climate change. A roadmap is needed to ensure that decisions taken as the city evolves lead towards a sustainable future. Approximately half of the energy use, carbon dioxide emissions and exposure to air pollution in cities is due to either buildings or transportation, and this total energy use is increasing. Air pollution is projected to be the leading global cause of mortality by 2050. Therefore the question posed here in terms of air quality and temperature rise is important in its own right. However, these quantities together also provide, perhaps uniquely, specific measurable physical properties that cover an entire city and provide a metric for assessing the sustainability of system-wide decisions.
Traditional approaches to urban environmental control rely on energy-consuming and carbon/toxics-producing heating, ventilation and air conditioning (HVAC) systems. These traditional approaches produce an unsustainable cycle of increasing energy use with associated emissions of carbon dioxide and pollutants leading to rising temperatures implying, in turn, greater use of HVAC. Breaking this vicious cycle requires a completely different engineered solution, one that couples with natural systems and does not depend solely on mechanical systems. This project will develop a facility consisting of an integrated suite of models and an associated management and decision support system that together allow the city design and its operation to manage the air so that it becomes its own HVAC system, with clean, cool air providing low-energy solutions for health and comfort. This will be achieved by using natural ventilation in buildings to reduce demand for energy and ensuring air pollutants are diluted below levels that cause adverse health effects, coupled with increased albedo to reduce the heat island effect plus green (parks) and blue (water) spaces to provide both cooling and filtration of pollutants.
We have brought together a trans-disciplinary research team to construct this facility. It will be comprised of three components: (i) a fully resolved air quality model that interacts with sensor data and provides detailed calculations of the air flow, pollutant and temperature distributions in complex city geometries and is fully coupled to naturally ventilated buildings, and green and blue spaces; (ii) reduced order models that allow rapid calculations for real time analysis and emergency response; and (iii) a cost-benefit model to assess the economic, social and environmental viability of options and decision.
The scientific air quality component is a fully-resolved computational model that couples external and internal flows in naturally ventilated buildings at the building, block and borough scales. It will be supported and validated by field measurements at selected sites and by wind tunnel and salt-bath laboratory studies. The reduced order models will be developed from the computational model and from laboratory process studies, and will be capable of producing gross features such as mean pollutant concentrations and temperatures. They will be used to provide capabilities for scoping studies, and real-time and emergency response. The cost-benefit model will provide the link between the scientific and engineering models and implementation advice. It will include modules for the built environment, public spaces and transportation, and provide estimates of the life-cycle costs and benefits of the various scenarios at the individual building, city block and borough scales. Eventually, it is envisaged that this will also include social and health effects.
Planned Impact
The impact of this work will occur over a range of length and time scales and be relevant to many different groups.
In the short term the outcomes will provide new information, understanding and capabilities to manage urban airflow. The management and decision support system will allow policy makers and communities to assess a wide range of options to improve air quality and reduce emissions of pollutants, heat and greenhouse gases. They will be able to quantify the benefits of incorporating the natural environment in the form of green and blue spaces in the urban environment. The capabilities within the modelling suite will allow these considerations to be made from the scale of an individual building up to the whole city. It will be possible to use the system for short-term decisions, such as re-directing cyclists away from polluted areas and for emergency response.
In the medium term we expect to see developments in new sensor technology, analysis and visualisation of environmental data, and improved methodologies for sampling strategies that can be deployed in cities in the UK and around the world, to the benefit of UK industry, and lead to improved environmental conditions for the inhabitants of those cities. The proposed integrated modelling and sensor data approach is the ONLY satisfactory way to exploit the vast quantities of data available from smart cities and in this way react promptly to changes in both pollution (accidental, traffic-induced or terror release) and weather conditions (e.g. temperature).
In the longer term the impact, through improved urban and building design and management, will lead to reduced pollution levels and a reduced city heat-island, with consequent improvements in public health and resilience to the impacts of climate change. This should lead to significant reductions in mortality rates and improved productivity through decreases in morbidity, with large positive economic benefits to the UK and elsewhere. These reductions will also lead to less damage to crops and other plants and help enhance ecosystem services generally.
Thus the proposed work will be of broad interest to all those people, organisations and communities concerned with pollution and heat in the built environment, mitigation of release of hazardous materials, health risk assessment and human health impact (e.g. architects, London government, the Home Office, Homeland Security, etc.) as well as those interested in next generation atmospheric/ocean modelling (e.g. Met Office).
Substantial benefits will be gained from the improved understanding of the variability of urban dispersion patterns and feedbacks through the development and modelling process. This has significant implications for other monitoring and modelling initiatives, as well as for the understanding of previously collected observational data sets and how best to collect new data sets.
The rapid reduced order modelling capability provides the possibility of replacing extensively used Gaussian plume models with associated major improvements in confidence/accuracy and attendant health/finance benefits. It also helps, along with adaptive, focussed numerical resolution, to bridge the gap between the scales - promising highly accurate sub-grid scale models which would have major impacts on computational physics, e.g. turbulent flows.
While our goal of a city with zero heat island and pollution levels is probably not strictly attainable, it is critically important that it remains the target as a 'holy grail', as something to be strived for and to provide a beacon for decisions. It then provides the motivation to remove sources of pollution, to design efficient buildings, and to promote low-consumption life styles. It ensures that the natural environment is valued and cherished, and that urban living is compatible with diversity and thriving ecosystems within the city boundary. This would be a truly wonderful legacy and the largest impact of all.
In the short term the outcomes will provide new information, understanding and capabilities to manage urban airflow. The management and decision support system will allow policy makers and communities to assess a wide range of options to improve air quality and reduce emissions of pollutants, heat and greenhouse gases. They will be able to quantify the benefits of incorporating the natural environment in the form of green and blue spaces in the urban environment. The capabilities within the modelling suite will allow these considerations to be made from the scale of an individual building up to the whole city. It will be possible to use the system for short-term decisions, such as re-directing cyclists away from polluted areas and for emergency response.
In the medium term we expect to see developments in new sensor technology, analysis and visualisation of environmental data, and improved methodologies for sampling strategies that can be deployed in cities in the UK and around the world, to the benefit of UK industry, and lead to improved environmental conditions for the inhabitants of those cities. The proposed integrated modelling and sensor data approach is the ONLY satisfactory way to exploit the vast quantities of data available from smart cities and in this way react promptly to changes in both pollution (accidental, traffic-induced or terror release) and weather conditions (e.g. temperature).
In the longer term the impact, through improved urban and building design and management, will lead to reduced pollution levels and a reduced city heat-island, with consequent improvements in public health and resilience to the impacts of climate change. This should lead to significant reductions in mortality rates and improved productivity through decreases in morbidity, with large positive economic benefits to the UK and elsewhere. These reductions will also lead to less damage to crops and other plants and help enhance ecosystem services generally.
Thus the proposed work will be of broad interest to all those people, organisations and communities concerned with pollution and heat in the built environment, mitigation of release of hazardous materials, health risk assessment and human health impact (e.g. architects, London government, the Home Office, Homeland Security, etc.) as well as those interested in next generation atmospheric/ocean modelling (e.g. Met Office).
Substantial benefits will be gained from the improved understanding of the variability of urban dispersion patterns and feedbacks through the development and modelling process. This has significant implications for other monitoring and modelling initiatives, as well as for the understanding of previously collected observational data sets and how best to collect new data sets.
The rapid reduced order modelling capability provides the possibility of replacing extensively used Gaussian plume models with associated major improvements in confidence/accuracy and attendant health/finance benefits. It also helps, along with adaptive, focussed numerical resolution, to bridge the gap between the scales - promising highly accurate sub-grid scale models which would have major impacts on computational physics, e.g. turbulent flows.
While our goal of a city with zero heat island and pollution levels is probably not strictly attainable, it is critically important that it remains the target as a 'holy grail', as something to be strived for and to provide a beacon for decisions. It then provides the motivation to remove sources of pollution, to design efficient buildings, and to promote low-consumption life styles. It ensures that the natural environment is valued and cherished, and that urban living is compatible with diversity and thriving ecosystems within the city boundary. This would be a truly wonderful legacy and the largest impact of all.
Organisations
- University of Cambridge (Lead Research Organisation)
- University of Surrey (Collaboration)
- IMPERIAL COLLEGE LONDON (Collaboration)
- Zhejiang University (Project Partner)
- National Physical Laboratory (Project Partner)
- University of Reading (Project Partner)
- Chinese Academy of Sciences (Project Partner)
- Cambridge Environmental Research Consultants (United Kingdom) (Project Partner)
- EC Harris LLP (Project Partner)
- Foster and Partners (United Kingdom) (Project Partner)
- Breathing Buildings Limited (Project Partner)
- Duvas Technologies Ltd (Project Partner)
- Laing O'Rourke (United Kingdom) (Project Partner)
- Arup Group (United Kingdom) (Project Partner)
Publications
![publication icon](/resources/img/placeholder-60x60.png)
Abushaikha A
(2015)
Interface control volume finite element method for modelling multi-phase fluid flow in highly heterogeneous and fractured reservoirs
in Journal of Computational Physics
![publication icon](/resources/img/placeholder-60x60.png)
Adam A
(2016)
Adaptive Haar wavelets for the angular discretisation of spectral wave models
in Journal of Computational Physics
![publication icon](/resources/img/placeholder-60x60.png)
Adam A
(2016)
Higher-order conservative interpolation between control-volume meshes: Application to advection and multiphase flow problems with dynamic mesh adaptivity
in Journal of Computational Physics
![publication icon](/resources/img/placeholder-60x60.png)
![publication icon](/resources/img/placeholder-60x60.png)
Ahmed T
(2021)
Natural ventilation in warm climates: The challenges of thermal comfort, heatwave resilience and indoor air quality
in Renewable and Sustainable Energy Reviews
![publication icon](/resources/img/placeholder-60x60.png)
Albuquerque D
(2020)
Experimental and numerical investigation of pumping ventilation on the leeward side of a cubic building
in Building and Environment
![publication icon](/resources/img/placeholder-60x60.png)
Amendola M
(2020)
Data Assimilation in the Latent Space of a Neural Network
![publication icon](/resources/img/placeholder-60x60.png)
![publication icon](/resources/img/placeholder-60x60.png)
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Arcucci R
(2023)
A reduced order with data assimilation model: Theory and practice
in Computers & Fluids
![publication icon](/resources/img/placeholder-60x60.png)
Arcucci R
(2020)
Parallel Computing: Technology Trends
![publication icon](/resources/img/placeholder-60x60.png)
Arcucci R
(2019)
Optimal reduced space for Variational Data Assimilation
in Journal of Computational Physics
![publication icon](/resources/img/placeholder-60x60.png)
Aristodemou E
(2018)
How tall buildings affect turbulent air flows and dispersion of pollution within a neighbourhood.
in Environmental pollution (Barking, Essex : 1987)
![publication icon](/resources/img/placeholder-60x60.png)
Aristodemou E
(2019)
Enhancing CFD-LES air pollution prediction accuracy using data assimilation
in Building and Environment
![publication icon](/resources/img/placeholder-60x60.png)
Aristodemou E
(2020)
Turbulent Flows and Pollution Dispersion around Tall Buildings Using Adaptive Large Eddy Simulation (LES)
in Buildings
![publication icon](/resources/img/placeholder-60x60.png)
Bhagat R
(2020)
Effects of ventilation on the indoor spread of COVID-19.
![publication icon](/resources/img/placeholder-60x60.png)
Bhagat RK
(2020)
Displacement ventilation: a viable ventilation strategy for makeshift hospitals and public buildings to contain COVID-19 and other airborne diseases.
in Royal Society open science
![publication icon](/resources/img/placeholder-60x60.png)
Bhagat RK
(2020)
Effects of ventilation on the indoor spread of COVID-19.
in Journal of fluid mechanics
![publication icon](/resources/img/placeholder-60x60.png)
![publication icon](/resources/img/placeholder-60x60.png)
Buchan A
(2016)
An efficient space-angle subgrid scale discretisation of the neutron transport equation
in Annals of Nuclear Energy
![publication icon](/resources/img/placeholder-60x60.png)
Buizza C
(2022)
Data Learning: Integrating Data Assimilation and Machine Learning
in Journal of Computational Science
![publication icon](/resources/img/placeholder-60x60.png)
Burridge H
(2021)
Predictive and retrospective modelling of airborne infection risk using monitored carbon dioxide
in Indoor and Built Environment
Description | We have developed a modelling system that allows the impacts of green infrastructure on air quality in urban environments to be calculated. As a result we are able to predict the impacts of reducing traffic, planting trees or green spaces on the air pollution in city streets and consequently the possibility of allowing nearby buildings to be naturally ventilated without deleterious effects on the occupants. We have calculated the consequent savings in building energy usage and reduction in greenhouse gas emissions that result from these changes. The modelling system also allows personal exposure to air pollution to be determined depending on, for example, the path taken when commuting or the time of day. As a result we are able to provide information that enable people to live healthier lives and increase their well being. Further we have developed new 'fast methods' for calculating outdoor air quality in complex urban environments. |
Exploitation Route | To improve city planning and building design to improve the health and well being of those who live and work in urban environments. |
Sectors | Communities and Social Services/Policy,Construction,Energy,Environment,Transport |
URL | http://www.magic-air.uk |
Description | Our work is being used by Transport for London to enable them to consider traffic interventions to reduce vehicle emissions. Our model Fluidity is capable of predicting the transport of pollutants along a street caused by the passage of traffic. TfL are starting to use the visualisations produced by the model to consider the impact of traffic light timings on street-level pollution. In 2019 we conducted a field study in collaboration with TfL where the traffic lights on London Road were altered. We are in the process of analysing the results. |
First Year Of Impact | 2000 |
Sector | Environment,Transport |
Impact Types | Societal,Policy & public services |
Title | Indoor Geometry Generator (IGG) |
Description | The Indoor Geometry Generator (IGG) is able to generate automatically simplified indoor geometry and its associated unstructured mesh for Computational Fluid Dynamics (CFD) simulations purposes given very simple user inputs. A large number of indoor features are supported by IGG such as (non-exhaustive list): shelves, tills, tables, chairs, seats... Smaller features such as laptops, computer towers and screens can also be included. In addition, doors/windows as well as ventilation inlet and outlet can be taken into account. Finally, the adding of simplified shape of humans standing, sitting or lying are also supported by IGG. IGG allows the user to generate without much effort indoor geometries such that shop, train, bus, plane, school, open spaces..., while being fully consistent with CFD requirements. The geometry and the mesh are outputted in GMSH format supported by both Fluidity and IC-FERST open-source finite-element CFD software. |
Type Of Material | Computer model/algorithm |
Year Produced | 2021 |
Provided To Others? | Yes |
Impact | The Indoor Geometry Generator (IGG) is able to generate automatically simplified indoor geometry and its associated unstructured mesh for Computational Fluid Dynamics (CFD) simulations purposes given very simple user inputs. Generating the geometry and the mesh is usually done manually and is really time consumming. |
URL | https://www.researchgate.net/publication/349350000_Indoor_Geometry_Generator_IGG_Manual |
Title | Model name: Fluidity-Urban |
Description | It is used for modelling urban environment - taking into account the tree, park, blue areas and land surface flux. |
Type Of Material | Computer model/algorithm |
Year Produced | 2020 |
Provided To Others? | Yes |
Impact | Novelty, this is the first introduction of adaptive unstructured mesh modelling to prediction of urban environment. Not published yet since it is still at the stage of developing and validation. However the initial results were presented in international conferences (e.g. International Conference on Sustainable Development in Building and Environment 26 August 2020), MAGIC meeting and INHALE committee meetings. Aiming to publish in a peer reviewed journal in October 2021. |
Title | Principal Components based adversarial autoencoder and adversarial Long short-term memory for improving data-driven urban air pollution simulations. |
Description | The approach aims to improve the forecast of computational fluid dynamics (CFD) simulations of urban air pollution using deep learning, and most specifically adversarial training. This adversarial approach aims to reduce the divergence of the forecasts from the underlying physical model. Our two-step method integrates a Principal Components Analysis (PCA) based adversarial autoencoder (PC-AAE) with adversarial Long short-term memory (LSTM) networks. Once the reduced-order model (ROM) of the CFD solution is obtained via PCA, an adversarial autoencoder is used on the principal components time series. Subsequentially, a Long Short-Term Memory network (LSTM) is adversarially trained on the latent space produced by the PC-AAE to make forecasts. |
Type Of Material | Computer model/algorithm |
Year Produced | 2020 |
Provided To Others? | Yes |
Impact | The replacement of the CFD solution by these models will speed up the forecast process towards a real-time solution. And the application of adversarial training could potentially produce more physically realistic flows. Furthermore, this framework is data-agnostic and could be applied to different CFD models where enough data is available. The first part of this model is published here: https://arxiv.org/abs/2101.01568 and it was presented in the Third workshop of Machine Learning and Physical Sciences at NeurIPS 2020. A manuscript is being prepared. |
URL | https://arxiv.org/abs/2101.01568 |
Title | Using neural networks to represent human responses to pollution |
Description | We are using a Generative Adversarial Network (GAN) to parameterise cellular and individual's responses to air pollution at the cellular and individual levels. |
Type Of Material | Computer model/algorithm |
Year Produced | 2021 |
Provided To Others? | No |
Impact | This is in the process of being written up for publication. |
Description | University Partnerships |
Organisation | Imperial College London |
Department | Department of Paediatrics |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Cambridge University has provided a multi-disciplinary range of expertise to the MAGIC project. Cambridge currently shares two Post-Doctoral Research Assistants (PDRAs) with ICL, sharing knowledge and expertise in the Architectural field. Access to a water-bath for laboratory testing, as well as regular sharing of expertise with the other partner Universities strengthen the collaboration for the project. |
Collaborator Contribution | Imperial College London and the University of Surrey are key partners in the MAGIC project. The Principal Investigators supporting Professor Paul Linden in the MAGIC project include Professor Christopher Pain (ICL) and Professor Alan Robins (Surrey). Two post-doctoral research assistants (PDRAs) are shared between ICL and Cambridge, with a further two full-time PDRAs based at ICL. One PDRA is based at the University of Surrey. A number of other senior investigators are based at both ICL and Surrey. The project team meet on a regular basis to share research updates and ideas to further the project. The initial test site for the MAGIC project has been organised through ICL. The partnerships with ICL and Surrey allow the project access to key equipment, such as increased computer power and the wind tunnel at Surrey. Intellectual input in areas such as Atmospheric Modelling, Architectural Modelling and Reduced Order Modelling are also a key output of the collaboration between the Universities. |
Impact | http://dx.doi.org/10.1016/j.jcp.2016.10.068 http://dx.doi.org/10.1016/j.cma.2016.12.033 10.1002/fld.4265 |
Start Year | 2015 |
Description | University Partnerships |
Organisation | University of Surrey |
Department | Ion Beam Centre |
Country | United Kingdom |
Sector | Public |
PI Contribution | Cambridge University has provided a multi-disciplinary range of expertise to the MAGIC project. Cambridge currently shares two Post-Doctoral Research Assistants (PDRAs) with ICL, sharing knowledge and expertise in the Architectural field. Access to a water-bath for laboratory testing, as well as regular sharing of expertise with the other partner Universities strengthen the collaboration for the project. |
Collaborator Contribution | Imperial College London and the University of Surrey are key partners in the MAGIC project. The Principal Investigators supporting Professor Paul Linden in the MAGIC project include Professor Christopher Pain (ICL) and Professor Alan Robins (Surrey). Two post-doctoral research assistants (PDRAs) are shared between ICL and Cambridge, with a further two full-time PDRAs based at ICL. One PDRA is based at the University of Surrey. A number of other senior investigators are based at both ICL and Surrey. The project team meet on a regular basis to share research updates and ideas to further the project. The initial test site for the MAGIC project has been organised through ICL. The partnerships with ICL and Surrey allow the project access to key equipment, such as increased computer power and the wind tunnel at Surrey. Intellectual input in areas such as Atmospheric Modelling, Architectural Modelling and Reduced Order Modelling are also a key output of the collaboration between the Universities. |
Impact | http://dx.doi.org/10.1016/j.jcp.2016.10.068 http://dx.doi.org/10.1016/j.cma.2016.12.033 10.1002/fld.4265 |
Start Year | 2015 |
Title | Fluidity manual |
Description | A new manual has been produced for the LES code Fluidity |
Type Of Technology | Software |
Year Produced | 2019 |
Open Source License? | Yes |
Impact | This is a user manual for the open-source code which makes it much more accessible to potential users. |
URL | http://www.magic-air.uk |
Title | Koopman modes for laboratory experiments |
Description | Development of algorithms for Dynamic Mode Decomposition (DMD) to extract Koopman modes relevant to experimental observations of turbulent flows in stratified fluids. |
Type Of Technology | Software |
Year Produced | 2015 |
Impact | Insight into the time-varying modal structure of both linear and nonlinear flows. Has been applied across a broad range of flows in the laboratory. |
Description | ADMOS conference presentation |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Presenting our research at a conference - discussing research with other academics and industrialists |
Year(s) Of Engagement Activity | 2019 |
URL | https://congress.cimne.com/admos2019/frontal/default.asp |
Description | AI for Modelling Fluid Flow and Multi-Physics Problems |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Professor Christopher Pain gave a talk entitled 'AI for Modelling Fluid Flow and Multi-Physics Problems' to the SIAM Conference on Mathematical & Computational Issues (https://www.siam.org/conferences/cm/conference/gs21) in the Geosciences on 22nd June 2021, Politecnico di Milano, Italy. |
Year(s) Of Engagement Activity | 2021 |
URL | https://meetings.siam.org/sess/dsp_talk.cfm?p=111703 |
Description | AI modelling of Urban Flows |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Pain C. C. et al., were invited to give a talk entitled 'AI modelling of Urban Flows' to the Urban Fluid Mechanics Special Interest Group, Workshop on AI on data-driven approaches and Inverse modelling. 2022 21st March |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.urbanfluidmechanics.org/meetings/online-meeting-march-21-2022 |
Description | American Physical Society (APS) DFD 2017 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Artificial neural network for simulation of 1D falling film and thin liquid films over spinning disks. APS DFD 2017, November 2017, Denver, Colorado, USA. |
Year(s) Of Engagement Activity | 2017 |
Description | American Physical Society (APS) DFD 2017 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | A robust control volume finite element method for high aspect ratio domains with dynamic mesh optimisation. APS DFD 2017, November 2017, Denver, Colorado, USA. |
Year(s) Of Engagement Activity | 2017 |
Description | Applications of Machine Learning to Urban Environmental Problems |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Professor Christopher Pain gave a talk entitled 'Applications of Machine Learning to Urban Environmental Problems' to Urban Fluid Mechanics SIG Meeting on Artificial Intelligence, Data-driven Approaches and Inverse Modelling on March 21st 2022. |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.urbanfluidmechanics.org/meetings/online-meeting-march-21-2022 |
Description | Attendance at the UKIEG Conference 2018 - Ventilation, Indoor Air Quality and Health |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Doctor Megan Davies-Wykes (then a PDRA on MAGIC) represented the project at the UKIEG Conference 2018 - Ventilation, Indoor Air Quality and Health |
Year(s) Of Engagement Activity | 2018 |
Description | CFD, reduced-order models and neural networks for Urban and Indoor flows: Results from INHALE, MAGIC, PREMIERE consortia |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | Professor Christopher Pain and Dr Fangxin Fang presented a talk entitled 'CFD, reduced-order models and neural networks for Urban and Indoor flows: Results from INHALE, MAGIC, PREMIERE consortia' to Chongqing University on 2nd June 2021. |
Year(s) Of Engagement Activity | 2021 |
Description | COVID-19 modelling using methods from Nuclear Engineering, Epidemiology and Air Flows |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Professor Christopher Pain waspart of the organising committee for the Modelling in Nuclear Science and Engineering conference, 2022, April 7-8th. Prof. Pain hosted a session on COVID-19 modelling using methods from Nuclear Engineering, Epidemiology and Air Flows. |
Year(s) Of Engagement Activity | 2022 |
Description | COVID-19 modelling using methods from Nuclear Engineering: Infection risk modelling in schools using CFD |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Boyang Chen, et al. Modelling in Nuclear Science and Engineering conference, 2022, April 7-8th. Mr Chen hosted a session on COVID-19 modelling using methods from Nuclear Engineering. Infection risk modelling in schools using CFD. |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.nuclearinst.com/all-nuclear-events/5th-annual-modelling-in-nuclear-science-and-engineeri... |
Description | Can Nuclear Modelling Techniques Help National Efforts to Combat COVID-19? |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Professor Christopher Pain and Professor Paul Smith presented a talk entitled 'Can Nuclear Modelling Techniques Help National Efforts to Combat COVID-19?' on the 28th September 2021 to the Nuclear Institute. |
Year(s) Of Engagement Activity | 2021 |
URL | https://www.nuclearinst.com/Events-List/Could-Nuclear-Modelling-Techniques-Help-the-National-Efforts... |
Description | Deep learning applied to nonlinear fluid flow problems |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | F. Fang, M. Cheng, C. Pain, et al. gave a talk entitled 'Deep learning applied to nonlinear fluid flow problems' to the AI workshop in Shanghai University on 30 August 2021. |
Year(s) Of Engagement Activity | 2021 |
Description | Dr Fangxin Fang presented a talk 'Multiscale physical green and thermal dynamical modelling in urban environment' to the international conference on Sustainable Development in Building and Environment and International Forum of Green Buildings and Healthy Buildings |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | Fangxin Fang gave a talk 'Multiscale physical green and thermal dynamical modelling in urban environment' at the international conference on Sustainable Development in Building and Environment and International Forum of Green Buildings and Healthy Buildings, SuDBE2020, China, 26, August 2020. |
Year(s) Of Engagement Activity | 2020 |
Description | Dr Rossella Arcucci organised the second edition of the Workshop on Machine Learning and Data Assimilation for Dynamical Systems (MLDADS) 2020 |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Description: The object of the theory of dynamical systems addresses the qualitative behaviour of dynamical systems as understood from models. Moreover, models are often not perfect and can be improved using data using tools from the field of Data Assimilation. Additionally, the field of Machine Learning is concerned with algorithms designed to accomplish certain tasks whose performance improve with the input of more data. The intersection of the fields data assimilation, machine learning and dynamical systems is largely unexplored, and the goal of the MLDADS workshop is to bring together contributions from these fields to fill the gap between these theories in the following directions: (1) Machine Learning for Data Assimilation: how to assist or replace the traditional methods in making forecasts, without the unrealistic assumption (particularly linearity, normality and zero error covariance) of the conventional methods. (2) Machine Learning for Dynamical Systems: how to analyze dynamical systems on the basis of observed data rather than attempt to study them analytically. (3) Data Assimilation for Machine Learning and/or Dynamical Systems: how well does the model under consideration (Machine Learning model and/or Dynamical System) represent the physical phenomena.(4) Data Assimilation and Machine Learning for Dynamical Systems: how can tools from the interaction between the theories of Data Assimilation and Machine Learning be used to improve the accuracy of the prediction of dynamical systems. |
Year(s) Of Engagement Activity | 2020 |
URL | https://www.iccs-meeting.org/iccs2020/thematic-tracks/ |
Description | Dr Rossella Arcucci presented a talk entitled "Data Assimilation and Machine Learning" to the Leverhulme Wildfires workshop 'Approaches to Data Analysis' on 19 May 2020, online. |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Dr Rossella Arcucci presented a talk entitled "Data Assimilation and Machine Learning" to the Leverhulme Wildfires workshop 'Approaches to Data Analysis' on 19 May 2020, online. |
Year(s) Of Engagement Activity | 2020 |
Description | Dr Rossella Arcucci presented a talk entitled "Data Learning: Data Assimilation with Machine Learning" at the University of Reading on 11 March 2020 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Dr Rossella Arcucci presented a talk entitled "Data Learning: Data Assimilation with Machine Learning" at the University of Reading on 11 March 2020 |
Year(s) Of Engagement Activity | 2020 |
Description | Dr Rossella Arcucci was a Keynote speaker at SIAM-IMA (Institute of Mathematics and its applications) with a talk entitled "Artificial Neural Network at the service of Data Assimilation" on 1 June 2020, online |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | Dr Rossella Arcucci was a Keynote speaker at SIAM-IMA (Institute of Mathematics and its applications) with a talk entitled "Artificial Neural Network at the service of Data Assimilation" on 1 June 2020, online |
Year(s) Of Engagement Activity | 2020 |
Description | Dr Rossella Arcucci was an Invited Speaker to give a talk entitled 'Artificial Neural Network at the service of Data Assimilation (and vice versa)' |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Dr Rossella Arcucci was an Invited Speaker to give a talk entitled 'Artificial Neural Network at the service of Data Assimilation (and vice versa)' at ECMWF - ESA Workshop on Machine Learning for Earth System Observation and Prediction, a virtual event - https://vimeo.com/465348878 - on 6th October 2020 |
Year(s) Of Engagement Activity | 2020 |
URL | https://vimeo.com/465348878 |
Description | Dr Rossella Arcucci was an Invited Speaker to give a talk entitled 'Data Learning: Integrating Data Assimilation and Machine Learning in real world applications' |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | • Dr Rossella Arcucci was an Invited Speaker to give a talk entitled 'Data Learning: Integrating Data Assimilation and Machine Learning in real world applications' at Physics informed Artificial Intelligence in Plasma Science, Seminar Series - http://www.ppl.eng.osaka-u.ac.jp/JSPS_Core/seminars.html on 8th February 2021 |
Year(s) Of Engagement Activity | 2021 |
URL | http://www.ppl.eng.osaka-u.ac.jp/JSPS_Core/seminars.html |
Description | Dr Rossella Arcucci was an Invited Speaker to give a talk entitled 'Data-driven models based on Data Learning (Data Assimilation and Machine Learning) approaches' |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Dr Rossella Arcucci was an Invited Speaker to give a talk entitled 'Data-driven models based on Data Learning (Data Assimilation and Machine Learning) approaches' at PI DX Spotlight: Data Governance Traceability - https://dx.pi.tv/spotlights/101/data_governance_and_traceability - on 17th February 2021 |
Year(s) Of Engagement Activity | 2021 |
URL | https://dx.pi.tv/spotlights/101/data_governance_and_traceability |
Description | Dynamic Mesh Optimisation for High Precision Saline Intrusion Modelling |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | P Salinas, ML Bahlali, C Jacquemyn C Pain, AP Butler and M Jackson presented a paper 'Dynamic Mesh Optimisation for High Precision Saline Intrusion Modelling' to the AGU Fall Meeting 2021 |
Year(s) Of Engagement Activity | 2021 |
URL | https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/836773 |
Description | Fluids and Artificial Intelligence Modelling Methods and Applications |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | Professor Christopher Pain presented 'Fluids and Artificial Intelligence Modelling Methods and Applications' to the Computational Fluid Dynamic and Artificial Intelligence Workshop 2021 at Shanghai University, on 30th August 2021. |
Year(s) Of Engagement Activity | 2021 |
Description | Internal conference |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | I gave a talk on the fluid mechanics of natural ventilation at the International Building Performance Simulation Association (IBPSA). I have been asked to repeat the lecture at meeting of IBPSA (France) in Bordeaux in May |
Year(s) Of Engagement Activity | 2017 |
URL | http://www.buildingsimulation2017.org |
Description | International Symposium for Distinguished Young Scholars |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Model reduction methods and applications. International Symposium for Distinguished Young Scholars, China University of Geosciences (Wuhan). 2018. |
Year(s) Of Engagement Activity | 2018 |
Description | Interview for BBC Naked Scientist broadcast on 5 Live Science - also broadcast in Australia on ABC |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | I gave a recorded radio interview for the BBC programme Naked Scientist. The average number of live listeners was 146,000, which accounts for more than 1 in 10 of UK radio listeners on a Sunday morning, and the podcast issued by 5 Live was consistently in the top 5 most downloaded from the network every week. The numbers for Australia on National Radio (with a Friday 8pm broadcast time) were broadly the same. |
Year(s) Of Engagement Activity | 2017 |
Description | Invited presentation at EPSRC Durham Symposium Model Order Reduction |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Non-intrusive reduced order modelling and its applications. London Mathematical Society -- EPSRC Durham Symposium Model Order Reduction, Durham University, August 2017. |
Year(s) Of Engagement Activity | 2017 |
URL | http://www.maths.dur.ac.uk/lms/107/ |
Description | Joint workshop between MAGIC and Refresh projects about urban environment CFD modelling, 2017. |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | Joint workshop between MAGIC and Refresh (http://www.refresh-project.org.uk/) projects about urban environment CFD modelling, December 2017. |
Year(s) Of Engagement Activity | 2017 |
Description | Low Energy Ventilation Network and Urban Fluid Mechanics Special Interest Group in Cambridge |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Low Energy Ventilation Network meeting in Cambridge with participation of PDRA Laetitia Mottet in the expert panel discussion on importance of indoor-outdoor exchange. |
Year(s) Of Engagement Activity | 2018 |
URL | https://www.lowenergyventilation.org/events/upcomingevents/meeting-17-18th-dec-2018-at-university-of... |
Description | MAGIC Circular newsletter |
Form Of Engagement Activity | A magazine, newsletter or online publication |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Annual MAGIC Newsletter sent out to our wider network to update and engage stakeholders on issues related to the project. |
Year(s) Of Engagement Activity | 2017,2018,2019 |
Description | MODITIC Final Meeting, FFI, Norway |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Invited presentation: MAGIC - Managing Air for Green Inner Cities, MODITIC Final Meeting, FFI, Kjeller, Norway, March 14-18, 2016. MODITC (modelling dispersion of industrial toxic chemicals in urban environments), a 3.5 year European Defence Agency project, led by FFI, Norway. MODITIC partners: FFI (Norway), FOI (Sweden), DGA & INERIS (France), University of Surrey (UK). |
Year(s) Of Engagement Activity | 2016 |
URL | http://www.ffi.no/no/Forskningen/Avdeling-Beskyttelse/MODITIC/Sider/moditic.aspx |
Description | Machine learning-based predictive modelling for environmental issues |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | F. Fang, M. Cheng, C. Pain, et al. gave a talk entitled 'Machine learning-based predictive modelling for environmental issues' to the 2021 International Conference on Sustainable Development in the Building and Environment (SuDBE). |
Year(s) Of Engagement Activity | 2021 |
URL | https://10times.com/e1zp-5x2k-1r4x |
Description | Met Office Atmospheric Urban Modelling Group |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | I described the role of MAGIC is coordinating UK activities around pollutant dispersion in urban situations |
Year(s) Of Engagement Activity | 2016 |
Description | Multi-Physics and Multi-Scale Adaptive Mesh Predictive Modelling using Machine Learning and Data Assimilation |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Dr Fangxin Fang was invited to give a talk etitled 'Multi-Physics and Multi-Scale Adaptive Mesh Predictive Modelling using Machine Learning and Data Assimilation' to the Global Summit on Applied Science, Engineering and Technology, Virtual, Organized by the Scientistt, 17, March 2022 |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.thescientistt.com/applied-science-engineering-technology/2022/ |
Description | Multi-physics and multi-scale adaptive mesh AI-modelling for the urban environment |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Professor Christopher Pain gave a talk entitled 'Multi-physics and multi-scale adaptive mesh AI-modelling for the urban environment' to the 10th International Conference on Sustainable Development in the Building and Environment (SuDBE2021) held in Chongqing from 4th to 7th November 2021. |
Year(s) Of Engagement Activity | 2021 |
URL | http://www.sudbeconference.com/ |
Description | Multi-scale Adaptive Mesh Predictive Modelling in Fluid Dynamics |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Dr Fangxin Fang gave a talk entitled 'Multi-scale Adaptive Mesh Predictive Modelling in Fluid Dynamics' to the 6th International Electronic Conference on Water Sciences (https://sciforum.net/event/ECWS-6) from 15th to 30th November 2021. |
Year(s) Of Engagement Activity | 2021 |
URL | https://www.youtube.com/watch?v=Hjmqyhx0I_E |
Description | News report |
Form Of Engagement Activity | A magazine, newsletter or online publication |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Public/other audiences |
Results and Impact | AN article describing MAGIC for the New Statesman on Air Pollution. The issue also included articles by the Mayor of London Sadiq Khan, John Gibbons and D K Arvind |
Year(s) Of Engagement Activity | 2017 |
URL | https://www.newstatesman.com/sites/default/files/ns_clean_cities_supplement_nov_2017.pdf |
Description | Open Day 2017 |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Public/other audiences |
Results and Impact | The GK Batchelor Laboratory plays a pivotal part in the biennial mathematics Open Day. In 2017, there were around 700 members of the public who visited the Laboratory, primarily a mix of family groups. One of the sets of experiments within the Laboratory was specifically motivated by and related to this grant. |
Year(s) Of Engagement Activity | 2017 |
Description | Participation in the event: A Breath of Fresh Air - How Can We Bring Back Natural Ventilation? |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Dr Megan Davies Wykes (then PDRA on MAGIC) represented the project at the event: A Breath of Fresh Air - How Can We Bring Back Natural Ventilation? |
Year(s) Of Engagement Activity | 2017 |
Description | Partners meeting |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | MAGIC has 12 'partners' who participated in a one-day meeting at which presentations were made by Arup, Breathing Buildings and Fosters and Partners. |
Year(s) Of Engagement Activity | 2016 |
Description | Presentation and network building at the Biannual MAGIC partners meeting |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | In September 2018 MAGIC hosted a meeting for it's industrial partners and wider network, bringing together leading thinkers and practitioners on natural ventilation. |
Year(s) Of Engagement Activity | 2018 |
Description | Presentation at 8th International Conference on Sustainable Development in Building and Environment, Chongqing, 2017. |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation of "Effect of urban and building design on air flow and pollution dispersion", 8 International Conference on Sustainable Development in Building and Environment, Chongqing, China, November 2017. |
Year(s) Of Engagement Activity | 2017 |
URL | http://www.sudbeconference.com/ |
Description | Presentation at Air Pollution Research in London (APRIL), 2017 |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Policymakers/politicians |
Results and Impact | Presentation at Air Pollution Research in London (APRIL) meeting in London, October 2017. The aim of APRIL is to bring together the research community and those responsible for managing air pollution from local authority level to London and national government. |
Year(s) Of Engagement Activity | 2017 |
URL | https://aprilnetwork.net/ |
Description | Presentation at Climate Change International Conference in the Mediterranean and the Middle East, Cyprus |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation by Elsa Aristodemou at Climate Change International Conference in the Mediterranean and the Middle East, Cyprus on Modelling of pollution transport within the microscale urban environment |
Year(s) Of Engagement Activity | 2018 |
Description | Presentation at International Workshop on Mathematics of Climate Change and Natural Disasters, Sao Jose dos Campos, Brazil |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation by Fangxin Fang to the International Workshop on Mathematics of Climate Change and Natural Disasters, Sao Jose dos Campos, Brazil on Next Generation Multiscale Adaptive Mesh, Atmospheric Modelling, Rapid Response and Data Assimilation |
Year(s) Of Engagement Activity | 2017 |
Description | Presentation at the First China University of Petroleum Forum for international young talents |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Postgraduate students |
Results and Impact | Presentation given to the First China University of Petroleum Forum for international young talents by Dunhui Xiao on Reduced Order Modelling and its applications |
Year(s) Of Engagement Activity | 2018 |
Description | Presentation at the International Workshop of Mathematics of Weather, Equry, France |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation by Fangxin Fang at the International Workshop of Mathematics of Weather, Equry, France on using an adaptive unstructured mesh FEM for simulation of tropical cyclone |
Year(s) Of Engagement Activity | 2017 |
Description | Presentation at the Low Energy Ventilation Network meeting |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation to Low Energy Ventilation Network meeting in Loughborough by PDRA Laetitia Mottet on the importance of transients. |
Year(s) Of Engagement Activity | 2018 |
Description | Presentation at the Symposium on Applied Urban Modelling |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | Presentation given by PDRA Jiyun Song at the Symposium on Advanced Urban Modelling on dynamic thermal modelling towards energy efficient cities from present to future |
Year(s) Of Engagement Activity | 2018 |
Description | Presentation to International Workshop on Physical Modelling of Flow and Dispersion Phenomena (PHYSMOD 2017), Nantes, France |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation by PDRA William Lin to International Workshop on Physical Modelling of Flow and Dispersion Phenomena (PHYSMOD 2017), Nantes, France on Pollutant dispersion at an orthogonal four-way road intersection |
Year(s) Of Engagement Activity | 2017 |
Description | Presentation to the Data Assimilation Research Centre |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation by PDRA Rossella Arcucci to the Data Assimilation Research Centre on Effective Data Assimilation Models |
Year(s) Of Engagement Activity | 2018 |
Description | Presentation to the Low Energy Ventilation Network Meeting in Leeds |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Dr Megan Davies Wykes (then PDRA on MAGIC) presented to the Low Energy Ventilation Meeting at Leeds on The Effect of Buoyancy on Cross Ventilation |
Year(s) Of Engagement Activity | 2017 |
Description | Presented at ANS Summer 2019 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | Presented latest research at American Nuclear Society Summer 2019 meeting |
Year(s) Of Engagement Activity | 2019 |
Description | Presented at ICTT 2019 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | Presented at ICTT 2019 specialist meeting, for theoretical computational transport |
Year(s) Of Engagement Activity | 2019 |
Description | School visit (University of Stirling) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | over 50 persons including PhD students, professors, head of faculty, head of department, researchers and academic staffs attended. They found the ROM is very promising in early warning system. |
Year(s) Of Engagement Activity | 2018 |
Description | Talk at CIBSE Natural Ventilation Group |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | I talked about the possible impact of MAGIC on the development of natural ventilation in urban buildings |
Year(s) Of Engagement Activity | 2017 |
Description | Trends in nuclear modelling: fluids, solids, coupling and Artificial Intelligence |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Professor Christopher Pain presented 'Trends in nuclear modelling: fluids, solids, coupling and Artificial Intelligence' to the ANSWERS seminar on 10th November 2021 |
Year(s) Of Engagement Activity | 2021 |
URL | https://www.answerssoftwareservice.com/seminar.html |
Description | UK Government Clean Air Strategy Launch event |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Policymakers/politicians |
Results and Impact | PDRA Laetitia Mottet attended the launch event of the UK Government's Clean Air Strategy, representing MAGIC |
Year(s) Of Engagement Activity | 2018 |
Description | Workshop on Air Quality, Climate and Health, University of Surrey |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Invited Presentation: MAGIC - Managing Air for Green Inner Cities, The University Global Partnership Network workshop on Air Quality, Climate, and Health University of Surrey, Guildford, GU2 7XH, UK 23 June 2016 |
Year(s) Of Engagement Activity | 2016 |
URL | http://www.magic-air.uk |