Health assessment across biological length scales for personal pollution exposure and its mitigation (INHALE)
Lead Research Organisation:
Imperial College London
Department Name: Earth Science and Engineering
Abstract
To assess the impact of pollution on personal health in outdoor/indoor urban environments, we will develop a physics-based multi-scale approach across biological length scales from the cell, lung, person (surrounded by green infrastructure) up to the neighbourhood scale. We will examine the biophysical components of pollutants that determine their cellular fate, their potential for cell and tissue damage and how this relates to health outcomes. We will use airway models to assess particle deposition and effects on people's health as well as trace the pollution particles through an individual person down to the cellular level. The focus of the analysis will be on the immediate micro-environment (~20m) around a person. The integrated modelling will also represent various intervention scenarios (e.g. roadside hedges or medication for at-risk people such as asthmatics) to assess reduced exposure and corresponding changes in health outcomes. These biologic parameters of exposure will be integrated with the cardio-respiratory response to pollution in 80 participants using a combination of cardio-respiratory, physical activity and personal fine particles exposure monitors. We will numerically model the pollution and air flows at the neighbourhood scale and apply an approach centred on the impact of pollution on health to all aspects of modelling, sensor placement and management of the environment. Thus, any mitigation strategies can be designed to minimize the impact of pollution on health.
We will model the dispersion of particles and their micro-physics within the neighbourhood with an emphasis on green infrastructure and their ability to mitigate pollution e.g. hedges can reduce heavy metal pollution. We will examine the physical effects and functional chemistry of the metals and organic components of particles at the ultracellular level to determine their interference to cell metabolism and health. We will use modelling to predict the outcomes of cell fate, so that we can back propagate biological potential of pollution particles (say) through to the individual and into the neighbourhood scale. Thus, modelling will be key at each length scale.
We will model the dispersion of particles and their micro-physics within the neighbourhood with an emphasis on green infrastructure and their ability to mitigate pollution e.g. hedges can reduce heavy metal pollution. We will examine the physical effects and functional chemistry of the metals and organic components of particles at the ultracellular level to determine their interference to cell metabolism and health. We will use modelling to predict the outcomes of cell fate, so that we can back propagate biological potential of pollution particles (say) through to the individual and into the neighbourhood scale. Thus, modelling will be key at each length scale.
Planned Impact
The economic impacts will be seen from the potential use of the software and associated consultancy, both within the UK and abroad, and in the prevention of overseas codes dominating the market. The impacts also include addressing the urgent need to train scientists and engineers, at all levels, to undertake the necessary activities for the next generation of health and physics-based simulations associated with air pollution.
This work will also be of interest to wider MRC, BBSRC, EPSRC and NERC communities. Many of the techniques and tools we will be working on are also of interest to the wider computational physics community and imaging and analysis experts. There is strong potential for their re-application to resolve other physical phenomena.
Benefits to the companies include open source codes, publication results, new imaging techniques and workflows and early demonstrations. Benefits to academic research will arise through knowledge transfer activities. Our stakeholders, advisory board and project partners have been chosen to provide representation from across our target audience and to ensure that we are satisfying the needs of the wider community. The stakeholders will be served, both directly through the research we will accomplish during the project, and indirectly through access to the new modelling capabilities which we will develop and distribute via our open source coding and distribution model. The availability of our final deliverable products and the wider application of the novel numerical and modelling techniques to be developed will provide relevant input to policy makers and scientists involved with urban flows and oil-gas strategies for the UK as a whole. The planned activities to ensure good engagement and communication with beneficiaries in modelling and wider fields include: Exchanges between Surrey University, Edinburgh University, Imperial and partners;Documentation and Tools to Improve User Experience;Code Packaging;Post Processing Tool;Improved Web Based Presence;Training Events;Publications;collaboration with Universities and industries.
To maximise the potentially outstanding academic and socio-economic impact of our project, we will pursue an integrated strategy based on a number of pillars
1)Academic dissemination across relevant fields through collaboration, presentations at international meetings, numerous publications and organisation of a dedicated workshop
2)Policy advocacy and contact with UK (DEFRA, Public Health England, Parliamentary Office of Science and Technology) and international (Intergovernmental Panel on Climate Change, US Center for Environmental Health) regulators and with the most concerned automotive and petrochemical industry sectors (particularly where we already have partners) to disseminate our findings regarding the consequences of polluting nanoparticulates
3)In the long term, the general public will benefit from our research through improved health and quality of life. The knowledge generated during the project will help to identify new pharmaceutical targets for respiratory diseases. The project will also provide new assays and understanding to help evaluate chronic nanotoxicology, thus underpinning an improved regulatory framework governing both pollutants
4)The public will also benefit from an improved understanding of the risks of ultrafine components of pollution though our public communication efforts. We will increase awareness through local interactions with the lay public and more globally through online platforms and social media
5)We will align Master and PhD students to the project (including via our CDTs in Biomedical Sciences, Bioimaging, Neurotechnology, and Advanced Characterisation of Materials). This leverage will support the project and enhance dissemination, by providing a highly skilled workforce with appropriate inter-disciplinary training.
Several partners will collaborate with us in the co-production of our impact strategy.
This work will also be of interest to wider MRC, BBSRC, EPSRC and NERC communities. Many of the techniques and tools we will be working on are also of interest to the wider computational physics community and imaging and analysis experts. There is strong potential for their re-application to resolve other physical phenomena.
Benefits to the companies include open source codes, publication results, new imaging techniques and workflows and early demonstrations. Benefits to academic research will arise through knowledge transfer activities. Our stakeholders, advisory board and project partners have been chosen to provide representation from across our target audience and to ensure that we are satisfying the needs of the wider community. The stakeholders will be served, both directly through the research we will accomplish during the project, and indirectly through access to the new modelling capabilities which we will develop and distribute via our open source coding and distribution model. The availability of our final deliverable products and the wider application of the novel numerical and modelling techniques to be developed will provide relevant input to policy makers and scientists involved with urban flows and oil-gas strategies for the UK as a whole. The planned activities to ensure good engagement and communication with beneficiaries in modelling and wider fields include: Exchanges between Surrey University, Edinburgh University, Imperial and partners;Documentation and Tools to Improve User Experience;Code Packaging;Post Processing Tool;Improved Web Based Presence;Training Events;Publications;collaboration with Universities and industries.
To maximise the potentially outstanding academic and socio-economic impact of our project, we will pursue an integrated strategy based on a number of pillars
1)Academic dissemination across relevant fields through collaboration, presentations at international meetings, numerous publications and organisation of a dedicated workshop
2)Policy advocacy and contact with UK (DEFRA, Public Health England, Parliamentary Office of Science and Technology) and international (Intergovernmental Panel on Climate Change, US Center for Environmental Health) regulators and with the most concerned automotive and petrochemical industry sectors (particularly where we already have partners) to disseminate our findings regarding the consequences of polluting nanoparticulates
3)In the long term, the general public will benefit from our research through improved health and quality of life. The knowledge generated during the project will help to identify new pharmaceutical targets for respiratory diseases. The project will also provide new assays and understanding to help evaluate chronic nanotoxicology, thus underpinning an improved regulatory framework governing both pollutants
4)The public will also benefit from an improved understanding of the risks of ultrafine components of pollution though our public communication efforts. We will increase awareness through local interactions with the lay public and more globally through online platforms and social media
5)We will align Master and PhD students to the project (including via our CDTs in Biomedical Sciences, Bioimaging, Neurotechnology, and Advanced Characterisation of Materials). This leverage will support the project and enhance dissemination, by providing a highly skilled workforce with appropriate inter-disciplinary training.
Several partners will collaborate with us in the co-production of our impact strategy.
Organisations
- Imperial College London (Lead Research Organisation)
- SuperSTEM (Collaboration)
- Chinese Academy of Sciences (Collaboration, Project Partner)
- University of Granada (Collaboration)
- Henry Royce Institute (Collaboration)
- King Abdullah University of Science and Technology (KAUST) (Collaboration)
- King Abdullah University of Science and Technology (Project Partner)
- Research Complex at Harwell (Project Partner)
- AirLabs (Project Partner)
- Dyson Limited (Project Partner)
- Air Monitors Ltd (Project Partner)
- Shanghai University (Project Partner)
Publications
Quilodrán-Casas C
(2020)
Adversarially trained LSTMs on reduced order models of urban air pollution simulations - paper
Quilodrán-Casas C
(2020)
Adversarially trained LSTMs on reduced order models of urban air pollution simulations - poster
Quilodrán-Casas C
(2022)
Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic.
in Neurocomputing
Rawat N
(2023)
Interventions for improving indoor and outdoor air quality in and around schools.
in The Science of the total environment
Silva VLS
(2023)
Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology.
in Journal of scientific computing
Silva, V. L. S.
(2021)
Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19
Tiotiu A
(2022)
Association of Differential Mast Cell Activation with Granulocytic Inflammation in Severe Asthma.
in American journal of respiratory and critical care medicine
Titus Z
(2021)
Conditioning surface-based geological models to well data using artificial neural networks
in Computational Geosciences
Tiwari A
(2020)
Integrated dispersion-deposition modelling for air pollutant reduction via green infrastructure at an urban scale.
in The Science of the total environment
| Description | (Updated since 2021 reporting, see points 4 - 8) 1. Through the modelling and sampling work, we have established that Green Infrastructure has a very substantial temperature effect in urban environments and can increase as well as decrease individual's pollution exposure. Outputs: - http://climatelondon.org/wp-content/uploads/2020/07/PKumar_GCARE-Surrey3.pdf - Kumar, P., 2020. Green Infrastructure Implementation for Passive Mitigation of Air Pollution. In VAIBHAV SUMMIT-Vertical: V11 - Environmental Sciences-Horizontal Session on Hotspot Air Quality Management- War Forward Environmental Sciences, Online Panel Discussion, 17 October 2020 . 2. The INHALE team have produced a review of air sampling methods particularly for airborne virus collection which can be used as a hub of information on these techniques. The INHALE team also reviewed effective techniques for capturing fine (PM2.5) and ultrafine (PM0.1) particles to understand their toxicity and their role on reactive oxygen species in cells, their elemental composition and carbon content. Outputs - https://doi.org/10.1016/j.scitotenv.2020.143553 3. Use of neural networks to represent multiple responses to air pollution including human, personal and cellular responses. Currently being written up for publication. 4. Micro-environment characterisation: We have completed our analysis of the composition of particulate matter (PM; organics and trace metals) collected at 5 locations (an indoor site, a GI site, Park, London Underground and traffic intersection). Most notable observations were that toxic polycyclic aromatic hydrocarbons (PAHs) and redox active metals in ultrafine PM were detected in both indoor and London Underground sites. 5. London Underground study: We studied the number, size distribution and physico-chemical characteristics of ultrafine (PM0.1), fine (PM0.1-2.5) and coarse (PM2.5-10) particles collected on a London underground platform. We compared PM and CO2 concentrations in operable and non-operable times to draw conclusions about the stratification and mixing of particulates and gasses as well as the ventilation levels in the underground. We have produced unique chemical maps of fine and ultrafine size fractions of PM collected on the underground that show they are composed of Fe and O in the form of magnetite (20nm) and nanosized (<100nm) mixtures of potentially toxic metals, including Cr, Al, Ni and Mn. Specific ratios of toxic PAHs have been identified for underground transport that may also reflect interaction between the PAHs and fine particles suggesting the particles act as a vector for PAHs. This work has been submitted and is under review. 6. Correlated imaging: We have correlated between Cryo Structured Illumination Microscopy (SIM) and Cryo Soft X-ray Tomography (SXT) imaging at B24 beamline at Diamond to show that PM collected from the London Underground can be internalised by an epithelial cell line, their intracellular location, and that they have damaging effects on the structure of intracellular organelles and cell metabolism. On the physiological response, increased levels of ROS and lower mitochondrial membrane potential can be observed by fluorescence, which can be directly correlated with the presence of the PM around/inside the cells. The ultrastructural response to PM pollution by cells is variable ranging from the encapsulation of intracellular PM in cellular vesicles to the excessive generation of intracellular vesicles and lipid droplets, known signal of oxidative stress. Some other singular features, such as the formation of multilamellar bodies and nuclear structural alterations have been observed in the vicinity of PM. Using transmission electron microscopy combined with energy dispersive x-ray spectroscopy (TEM-EDX) we have also shown tube PM is internalised by human nasal epithelial cells and have analysed its chemistry and size. 7. Impact of COVID restrictions on air quality and PM deposition on leaves: On different dates, each representative of phases coming out of the COVID-19, summer-2020 lockdown, we collected polluted leaves in London microenvironments, whilst monitoring the concentrations of airborne particles in the vicinity of the plants for a period of time prior to leaf collection using Airspeck stationary sensors. We measured their metal chemistry/size distribution in different respirable size ranges (PM0.1, PM1, PM2.5, PM4, PM10). We showed that the PM across all size fractions is made up of traces of transition metals and which are more prevalent in the ultrafine size fraction. The concentrations of toxic trace metals in PM increased as we came out of lock down. We have also developed a model to predict particle elemental composition and hence toxicity for respirable sizes in a given microenvironment. Draft paper is in progress. 8. Modelling and observational data integration: We have developed a workflow for performing data assimilation of observational data into the modelling mesh of the South Kensington area. The workflow is able to incorporate data from static and mobile sensors as well, into the line sources of pollution of the computational fluid dynamics model. The integration occurs at the physical level. The previous reported workflow has a deep learning compression and forecasting steps, which has proven to be effective in other domain areas like a CFD of South London, a Pub for studying COVID-19 ventilation problems, and the classical flow past the cylinder simulation. The model of South Kensington has 1.1M points, and the compression part works adequately being able to compress 1.1M into 4 dimensions, making it easier to forecast. The forecasting is work in progress. The observational data, as it has been mapped into the modelling mesh, can also be compressed into the same space, and therefore the data assimilation can occur in this reduced latent space. A version of the compression and forecasting workflow was presented to the SimDL workshop at ICLR 2022. However, a full paper is in progress, along with a manuscript of the integration methods. |
| Exploitation Route | Guidance documents adopted in several countries particularly with regards to the practcal use of Green Infrastructure: https://www.surrey.ac.uk/global-centre-clean-air-research/resources/guidance-for-schools. |
| Sectors | Chemicals,Communities and Social Services/Policy,Energy,Environment,Healthcare,Government, Democracy and Justice,Transport |
| URL | https://www.imperial.ac.uk/earth-science/research/inhale/ |
| Description | 1. Through the modelling and sampling work, we have established that Green Infrastructure has a very substantial temperature effect in urban environments and can increase as well as decrease individual's pollution exposure. Outputs: - http://climatelondon.org/wp-content/uploads/2020/07/PKumar_GCARE-Surrey3.pdf - Kumar, P., 2020. Green Infrastructure Implementation for Passive Mitigation of Air Pollution. In VAIBHAV SUMMIT-Vertical: V11 - Environmental Sciences-Horizontal Session on Hotspot Air Quality Management- War Forward Environmental Sciences, Online Panel Discussion, 17 October 2020 . 2. The INHALE team have produced a review of air sampling methods particularly for airborne virus collection which can be used as a hub of information on these techniques. The INHALE team also reviewed effective techniques for capturing fine (PM2.5) and ultrafine (PM0.1) particles to understand their toxicity and their role on reactive oxygen species in cells, their elemental composition and carbon content. Outputs - https://doi.org/10.1016/j.scitotenv.2020.143553 3. Use of neural networks to represent multiple responses to air pollution including human, personal and cellular responses. Currently being written up for publication. 4. Micro-environment characterisation: We have completed our analysis of the composition of particulate matter (PM; organics and trace metals) collected at 5 locations (an indoor site, a GI site, Park, London Underground and traffic intersection). Most notable observations were that toxic polycyclic aromatic hydrocarbons (PAHs) and redox active metals in ultrafine PM were detected in both indoor and London Underground sites. This work is published: Tomson M, Kumar P, Kalaiarasan G, Zavala-Reyes JC, Chiapasco M, Sephton MA, Young G, Porter AE, 2023, Pollutant concentrations and exposure variability in four urban microenvironments of London, Atmospheric Environment, 298,119624 5. London Underground study: We studied the number, size distribution and physico-chemical characteristics of ultrafine (PM0.1), fine (PM0.1-2.5) and coarse (PM2.5-10) particles collected on a London underground platform. We compared PM and CO2 concentrations in operable and non-operable times to draw conclusions about the stratification and mixing of particulates and gasses as well as the ventilation levels in the underground. We have produced unique chemical maps of fine and ultrafine size fractions of PM collected on the underground that show they are composed of Fe and O in the form of magnetite (20nm) and nanosized (<100nm) mixtures of potentially toxic metals, including Cr, Al, Ni and Mn. Specific ratios of toxic PAHs have been identified for underground transport that may also reflect interaction between the PAHs and fine particles suggesting the particles act as a vector for PAHs. This work is published: Kumar P, Zavala-Reyes JC, Kalaiarasan G, Abubakar-Waziri H, Young G, Mudway I, Dilliway C, Lakhdar R, Mumby S, Klosowski MM, Pain CC, Adcock IM, Watson JS, Sephton MA, Chung KF, Porter AE, 2023, Characteristics of fine and ultrafine aerosols in the London underground., Science of the Total Environment, Vol: 858 6. Correlated imaging: We have correlated between Cryo Structured Illumination Microscopy (SIM) and Cryo Soft X-ray Tomography (SXT) imaging at B24 beamline at Diamond to show that PM collected from the London Underground can be internalised by an epithelial cell line, their intracellular location, and that they have damaging effects on the structure of intracellular organelles and cell metabolism. On the physiological response, increased levels of ROS and lower mitochondrial membrane potential can be observed by fluorescence, which can be directly correlated with the presence of the PM around/inside the cells. The ultrastructural response to PM pollution by cells is variable ranging from the encapsulation of intracellular PM in cellular vesicles to the excessive generation of intracellular vesicles and lipid droplets, known signal of oxidative stress. Some other singular features, such as the formation of multilamellar bodies and nuclear structural alterations have been observed in the vicinity of PM. Using transmission electron microscopy combined with energy dispersive x-ray spectroscopy (TEM-EDX) we have also shown tube PM is internalised by human nasal epithelial cells and have analysed its chemistry and size. 7. Impact of COVID restrictions on air quality and PM deposition on leaves: On different dates, each representative of phases coming out of the COVID-19, summer-2020 lockdown, we collected polluted leaves in London microenvironments, whilst monitoring the concentrations of airborne particles in the vicinity of the plants for a period of time prior to leaf collection using Airspeck stationary sensors. We measured their metal chemistry/size distribution in different respirable size ranges (PM0.1, PM1, PM2.5, PM4, PM10). We showed that the PM across all size fractions is made up of traces of transition metals and which are more prevalent in the ultrafine size fraction. The concentrations of toxic trace metals in PM increased as we came out of lock down. We have also developed a model to predict particle elemental composition and hence toxicity for respirable sizes in a given microenvironment. Draft paper is in progress. 8. Modelling and observational data integration: We have developed a workflow for performing data assimilation of observational data into the modelling mesh of the South Kensington area. The workflow is able to incorporate data from static and mobile sensors as well, into the line sources of pollution of the computational fluid dynamics model. The integration occurs at the physical level. The previous reported workflow has a deep learning compression and forecasting steps, which has proven to be effective in other domain areas like a CFD of South London, a Pub for studying COVID-19 ventilation problems, and the classical flow past the cylinder simulation. The model of South Kensington has 1.1M points, and the compression part works adequately being able to compress 1.1M into 4 dimensions, making it easier to forecast. The forecasting is work in progress. The observational data, as it has been mapped into the modelling mesh, can also be compressed into the same space, and therefore the data assimilation can occur in this reduced latent space. A version of the compression and forecasting workflow was presented to the SimDL workshop at ICLR 2022. However, a full paper is in progress, along with a manuscript of the integration methods. |
| First Year Of Impact | 2020 |
| Sector | Communities and Social Services/Policy,Environment,Government, Democracy and Justice,Retail,Transport |
| Impact Types | Societal,Policy & public services |
| Description | 'COVAIR': Is SARS-CoV-2 airborne and does it interact with particle pollutants? |
| Amount | £659,343 (GBP) |
| Funding ID | EP/V052462/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2021 |
| End | 12/2021 |
| Description | Risk EvaLuatIon fAst iNtelligent Tool (RELIANT) for COVID19 |
| Amount | £1,356,505 (GBP) |
| Funding ID | EP/V036777/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 10/2020 |
| End | 04/2022 |
| Description | TRACK: Transport Risk Assessment for COVID Knowledge |
| Amount | £1,374,632 (GBP) |
| Funding ID | EP/V032658/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2020 |
| End | 03/2022 |
| Title | HedgeDATE |
| Description | Professor Prashant Kumar, Yendle Barwise, Arvind Tiwari and Fahad Rafi-Butt contributed to the development of HedgeDATE, a tool to aid hedge design for the abatement of traffic emissions. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | This online tool aims to help schools, hospitals and residents understand and reduce the impact of traffic-related air pollution, read more: https://www.surrey.ac.uk/news/new-online-tool-help-residents-reduce-impact-traffic-related-air-pollution |
| URL | https://hedgedate.eps.surrey.ac.uk/HedgeDATELandingPage.php |
| 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 | A Managing Environment for Sustainability Hub (NEOM MESH) |
| Organisation | King Abdullah University of Science and Technology (KAUST) |
| Country | Saudi Arabia |
| Sector | Academic/University |
| PI Contribution | The main aim of this project is to develop a modeling and monitoring framework which will enable NEOM to design and manage its future city, buildings, industries, coastal developments, and traffic systems to produce sustainable, safer, healthier, and comfortable urban environments resilient to climate change and adverse weather events. It will set up a test case centred around the KAUST campus. This is interesting as it is next to the sea and thus has winds generated by the sea with characteristic turbulent statistics. An accompanying Reduced Order Modelling capability will also start to be developed that will enable rapid modelling and facilitate data assimilation and urban design and management optimization. Thus, it is suggested to have two collaborative reseachers to start the project: Activities at Imperial College - developments and model set up 1. Develop the geometry of KAUST campus. 2. Run simulations of KAUST campus with turbulent inlet conditions. 3. Explore the use of adaptive meshes and the KAUST supercomputer. 4. Develop model improvements to ensure the model stays competitive. 5. Organize the training course (Fluidity, methodologies etc) with KAUST. 6. Present results in conferences. 7. Explore the potential collaboration with industries. 8. Publish joint journal papers. 9. Explore future funding opportunities. |
| Collaborator Contribution | WP1.1 Set up the Reduced Order Modelling (ROM) Infrastructure. WP1.2 Run simulations on KAUST supercomputer. WP1.3 Adjustments for use of adaptive meshes. WP1.4 Data assimilation. Deliverable: A ROM of complex urban flows. |
| Impact | 1. Development of a new software/tool for generating the geometry and 3D mesh for urban modelling 2. Building up of the geometry and 3D mesh for KAUST 3. Development of a software/tool for generating green part (grass, trees) for urban modelling 4. Developed a physical tree model in Fluidity for urban modelling 5. Development of the ground thermal dynamic model for urban modelling 6. Applying the newly developed green (tree and ground) model to the KAUST case |
| Start Year | 2019 |
| Description | AI and Machine Learning models for air quality in metro stations |
| Organisation | University of Granada |
| Country | Spain |
| Sector | Academic/University |
| PI Contribution | We are analysing and then predicting the variation in the air quality at metro stations, given by the number of people in place, the train arriving/departing and other variables. |
| Collaborator Contribution | They are developing the AI models based on Machine Learning technologies. |
| Impact | Outputs are pending, disciplines are: engineering, computer science, mathematics, physics. Impact will be cultural. |
| Start Year | 2020 |
| Description | Modelling air pollution in urban areas with Chinese Academy of Sciences |
| Organisation | Chinese Academy of Sciences |
| Department | Institute of Atmospheric Physics (IAP) |
| Country | China |
| Sector | Academic/University |
| PI Contribution | A number of training courses. Regularly visit IAP. Provision of data/models. |
| Collaborator Contribution | IAP provides one researcher working with us for 2 years on the modelling of air pollution - Dr Li (Started from Sept, 2019, ongoing) Contributions inlcude: 1. Development of a new generation adaptive mesh atmospheric model (Fluidity-Atmosphere) 2. Development of a new generation adaptive mesh air quality model (Fluidity-Chem) |
| Impact | Outputs 1. Zheng J, Fang F, Wang Z, Zhu J, Li J, Xiao H, Pain CCclose, 2020, A new anisotropic adaptive mesh photochemical model for ozone formation in power plant plumes, ATMOSPHERIC ENVIRONMENT, Vol: 229 2. D. Xiao, F. Fang*, J. Zheng, C.C. Pain, I.M. Navon, Machine learning-based rapid response tools for regional air pollution modelling, Atmospheric Environment, 199, 463-473, 2019. 3. J. Steppeler, J. Li, I.M. Navon, F. Fang, Z. Xiao, Medium range forecasts using cut-cells: a sensitivity study, Meteorology and Atmospheric Physics, ISSN: 0177-7971, 2019. 4. J. Li, J. Steppeler, F. Fang, C.C. Pain, J. Zhu, X. Peng, L. Dong, Y. Li, L. Tao, W. Leng, Y. Wang, J. Zheng, Potential numerical techniques and challenges for atmospheric modeling, Bulletin of the American Meteorological Society, ISSN: 0003-0007, 2019. 5. J. Steppeler, J. Li, F. Fang, J. Zhu, P.A. Ullrich PA, o3o3: A variant of spectral elements with a regular collocation grid, Monthly Weather Review, Vol: 147, Pages: 2067-2082, ISSN: 0027-0644, 2019. 6. J. Steppeler, J. Li, F. Fang, J. Zhu, 2019, Test of a cubic spline interface for physical processes with a 1-D third-order spectral element model, Tellus Series A: Dynamic Meteorology and Oceanography, Vol: 71, Pages: 1-6, ISSN: 0280-6495 7. J. Li, J. Zheng, J. Zhu, F. Fang, C.C. Pain, J. Steppeler, I.M. Navon, H. Xiao, Performance of Adaptive Unstructured Mesh Modelling in Idealized Advection Cases over Steep Terrains, Atmosphere, 9(11), 444, 2018. 8. Xiao D, Fang F, Pain C, Navon IM, Zheng Jclose, 2019, Machine learning-based rapid response tools for regional air pollution modelling, Atmospheric Environment, Vol: 199, Pages: 463-473, ISSN: 1352-2310 Outcomes: Our collaboration has resulted in 11 joint papers in high impact journals and brought a number of research funds in the past, for example: • A UK - China Initiative to Develop Predictive Ocean Modelling as a key aspect of a Joint Advanced Environmental Modelling Centre that can Tackle Grand Challenge Problems, NERC, 2012-2014, £790, 000. • Promoting International Collaboration, a UK - China Initiative UK-Sino Virtual Lab on Predictive Modelling for Sustainable Urban Development, EPSRC, 2012-2013, £40, 000. • Managing Air for Green Inner Cities (MAGIC), EPSRC consortium (Imperial college with Cambridge and Surrey universities, IAP is the key research partner in this project), £5M, 2015-2020. • International collaboration research fund on next generation adaptive mesh modelling, Fund from the Chinese Academy of Science, RMB 3000,000. • The consortium proposal on air pollution and atmosphere with top Chinese universities (Beijing Univ. Nanjing Univ. and the China National Environmental Monitoring Centre etc. RMB 23000, 000. |
| Start Year | 2019 |
| Description | Modelling air pollution in urban areas with Chinese Academy of Sciences |
| Organisation | Chinese Academy of Sciences |
| Department | Institute of Urban Environment |
| Country | China |
| Sector | Academic/University |
| PI Contribution | A number of training courses. Regularly visit IAP. Provision of data/models. |
| Collaborator Contribution | IAP provides one researcher working with us for 2 years on the modelling of air pollution - Dr Li (Started from Sept, 2019, ongoing) Contributions inlcude: 1. Development of a new generation adaptive mesh atmospheric model (Fluidity-Atmosphere) 2. Development of a new generation adaptive mesh air quality model (Fluidity-Chem) |
| Impact | Outputs 1. Zheng J, Fang F, Wang Z, Zhu J, Li J, Xiao H, Pain CCclose, 2020, A new anisotropic adaptive mesh photochemical model for ozone formation in power plant plumes, ATMOSPHERIC ENVIRONMENT, Vol: 229 2. D. Xiao, F. Fang*, J. Zheng, C.C. Pain, I.M. Navon, Machine learning-based rapid response tools for regional air pollution modelling, Atmospheric Environment, 199, 463-473, 2019. 3. J. Steppeler, J. Li, I.M. Navon, F. Fang, Z. Xiao, Medium range forecasts using cut-cells: a sensitivity study, Meteorology and Atmospheric Physics, ISSN: 0177-7971, 2019. 4. J. Li, J. Steppeler, F. Fang, C.C. Pain, J. Zhu, X. Peng, L. Dong, Y. Li, L. Tao, W. Leng, Y. Wang, J. Zheng, Potential numerical techniques and challenges for atmospheric modeling, Bulletin of the American Meteorological Society, ISSN: 0003-0007, 2019. 5. J. Steppeler, J. Li, F. Fang, J. Zhu, P.A. Ullrich PA, o3o3: A variant of spectral elements with a regular collocation grid, Monthly Weather Review, Vol: 147, Pages: 2067-2082, ISSN: 0027-0644, 2019. 6. J. Steppeler, J. Li, F. Fang, J. Zhu, 2019, Test of a cubic spline interface for physical processes with a 1-D third-order spectral element model, Tellus Series A: Dynamic Meteorology and Oceanography, Vol: 71, Pages: 1-6, ISSN: 0280-6495 7. J. Li, J. Zheng, J. Zhu, F. Fang, C.C. Pain, J. Steppeler, I.M. Navon, H. Xiao, Performance of Adaptive Unstructured Mesh Modelling in Idealized Advection Cases over Steep Terrains, Atmosphere, 9(11), 444, 2018. 8. Xiao D, Fang F, Pain C, Navon IM, Zheng Jclose, 2019, Machine learning-based rapid response tools for regional air pollution modelling, Atmospheric Environment, Vol: 199, Pages: 463-473, ISSN: 1352-2310 Outcomes: Our collaboration has resulted in 11 joint papers in high impact journals and brought a number of research funds in the past, for example: • A UK - China Initiative to Develop Predictive Ocean Modelling as a key aspect of a Joint Advanced Environmental Modelling Centre that can Tackle Grand Challenge Problems, NERC, 2012-2014, £790, 000. • Promoting International Collaboration, a UK - China Initiative UK-Sino Virtual Lab on Predictive Modelling for Sustainable Urban Development, EPSRC, 2012-2013, £40, 000. • Managing Air for Green Inner Cities (MAGIC), EPSRC consortium (Imperial college with Cambridge and Surrey universities, IAP is the key research partner in this project), £5M, 2015-2020. • International collaboration research fund on next generation adaptive mesh modelling, Fund from the Chinese Academy of Science, RMB 3000,000. • The consortium proposal on air pollution and atmosphere with top Chinese universities (Beijing Univ. Nanjing Univ. and the China National Environmental Monitoring Centre etc. RMB 23000, 000. |
| Start Year | 2019 |
| Description | Nanoscale chemical imaging of pollution particles |
| Organisation | Henry Royce Institute |
| Department | Henry Royce Institute – University of Manchester Facilities |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We are providing samples and expertise in nanoscale chemical mapping of nanoparticles. |
| Collaborator Contribution | Manchester are operating the TEM with a wide angle EDX spectrometer and acquiring data sets of the pollution particles for us. |
| Impact | We have not yet started these experiments. They have been delayed significantly due to COVID. |
| Start Year | 2020 |
| Description | Nanoscale chemical imaging of pollution particles |
| Organisation | SuperSTEM |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | We are providing samples and expertise in nanoscale chemical mapping of nanoparticles. |
| Collaborator Contribution | Prof. Quentin Ramasse is providing samples and expertise in monochromated electron energy loss spectroscopy, including operating the instrument and analysing spectroscopy data. Prof. Alex Porter (INHALE Co-I) first worked with SuperSTEM in 2006 and began collaborating on INHALE in 2021. |
| Impact | We have not yet started these experiments. They have been delayed significantly due to COVID. |
| Start Year | 2006 |
| Description | A general purpose workflow for creating and forecasting geophysical model surrogates for data assimilation using adversarial training |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Quilodrán Casas, C. and Arcucci, R. presented a poster on 'A general-purpose workflow for creating and forecasting geophysical model surrogates for data assimilation using adversarial training' to the AGU Fall meeting on 14th December 2021. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/935662 |
| Description | A talk to the DataLearning Group at Imperial College London |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | On 13th April 2021, Dr Fangxin Fang gave a talk entitled 'Deep Learning Predictive Modelling in Combination with Data Assimilation and Applications to Geophysical Dynamics' to the DataLearning Working Group. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://drive.google.com/file/d/1mHBUz3x32bVc8LS_5NOBsz9XoNRuENOq/view |
| 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 Fluid 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 et al. were invited to give a Semi-plenary lecture entited 'AI modelling of Fluid Flows' to the Eccomas 2022 Congress in Oslo, June 5-9, 2022. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.eccomas2022.org/frontal/invitedlectures.asp |
| 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 | Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Quilodrán Casas, C., Arcucci, R., Mottet, L., Guo, Y., Pain, C. 2021. Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations. SimDL ICLR 2021 workshop. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://arxiv.org/pdf/2104.06297.pdf |
| Description | Air Pollution Data in RBKC (Royal Borough of Kensington and Chelsea) during 2020 lockdown release |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Professor D. K. Arvind gave a talk entitled 'Air Pollution Data in RBKC (Royal Borough of Kensington and Chelsea) during 2020 lockdown release' to the Local Government Technical Advisors Group President's Conference 2021, June 15th - 17th 2021. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.lgtag.com/event/presidents-conference-2021/ |
| 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 | Article in National News |
| 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 | Further to the publication of Tiwari, A., Kumar, P., 2020. Integrated dispersion-deposition modelling for air pollutant reduction via green infrastructure at an urban scale. Science of the Total Environment (https://doi.org/10.1038/s41612-020-0115-3) the associated press release (https://www.surrey.ac.uk/news/new-framework-will-help-decide-which-trees-are-best-fight-against-air-pollution) generated this media interest. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.dailymail.co.uk/sciencetech/article-8156053/Scientists-produce-plant-selection-guide-hel... |
| 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 | Car Free Day on 25 September 2022 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Public/other audiences |
| Results and Impact | A public event was planned on Guildford High Street for Car Free Day on 25 September 2022. GCARE researchers provided information about Guildford Living Lab and projects such as INHALE to city residents. Prof. Prashant gave short talks in Guildhall and to the public about the air pollution and its effects on human health. The crowd along with the local MP showed great interest. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.surrey.ac.uk/news/guildford-living-lab-team-celebrates-car-free-day-guildford |
| Description | Car Free Day stall and activities at Zero Carbon Guildford |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Public/other audiences |
| Results and Impact | Guildford town centre was transformed on 26th September 2021, featuring market stalls from Ethical Vegan, Rural Crafts, antiques and our Farmer's Market. Other stalls offering street food, live music from local groups and street play for children. There was be lots of information about how residents can step up their actions to tackle climate change. Participants were encouraged to leave their cars at home and use alternative forms of transport, such as walking, cycling and public transport. https://www.guildford.gov.uk/carfreeday The GCARE team at Surrey led/participated in the following: 09:00 - Car Free Day https://www.zerocarbonguildford.org/event-details/car-free-day 10:00 - Guildford Living Lab - Drop-in Activities https://www.zerocarbonguildford.org/event-details/guildford-living-lab-co-creating-sustainable-solutions-for-air-pollution-and-climate-change-mitigation 14:00 - Guildford: The Worst Air Pollution In England https://www.zerocarbonguildford.org/event-details/the-worst-air-pollution-in-england See the related video here: https://www.youtube.com/watch?v=erNzwQqk-VA |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.guildford.gov.uk/carfreeday |
| Description | Characteristics of fine and ultrafine aerosols in the London underground |
| 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 | Further to the publication of 'Characteristics of fine and ultrafine aerosols in the London underground', a press article was published by the University of Surrey on 23rd October 2022. This was subsequently picked up and reported on by a number of news outlets including Felix, Evening Standard and Science Daily. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.surrey.ac.uk/news/better-ventilation-could-be-key-london-underground-manage-air-quality-... |
| Description | Data assimilation in the latent space of a convolutional autoencoder |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Amendola, M., Arcucci, R., Mottet, L., Quilodrán Casas, C., Fan, S., Pain, C., Linden, P., Guo, Y. Data assimilation in the latent space of a convolutional autoencoder. International Conference on Computational Science 2021, 373-386. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://easychair.org/smart-program/ICCS2021/2021-06-18.html#talk:168671 |
| 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 | EACCI: Global impact of COVID-19 on the environment |
| 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 | EAACI is the European Clinical Immunology and Allergy Society of >5000 members. This was a big audience, and were questions at the end. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.eaaci.org/eaaci-congresses/eaaci-2021 |
| Description | ERS Congress: How to mitigate the effects of air pollution? |
| 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 | Talk at European Respiratory Society Congress with >10000 participants. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.ersnet.org/events/ers-international-congress-2021/ |
| Description | Every breath you take |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Ticketed invited talk entitled "Every breath you take" was presented by Professor Arvind at the 2019 Edinburgh International Science Festival which was reviewed in Lancet Respiratory Medicine https://www.thelancet.com/pdfs/journals/lanres/PIIS2213-2600(19)30151-1.pdf. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.thelancet.com/pdfs/journals/lanres/PIIS2213-2600(19)30151-1.pdf |
| Description | Fine and ultra fine particles in micro-environments of London: Findings of the INHALE project |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Professor Prashant Kumar, Dr Gopinath Kalaiarasan, Mamatha Tomson, Dr Juan Zavala Reyes, Arvind Tiwari and Sarkawt Hama presented on 'Fine and ultra fine particles in micro-environments of London: Findings of the INHALE project' at the HARMO20 conference (20th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes) between 14-18 June 2021. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://harmo20.ut.ee/ |
| 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 | Forecasting emissions through Kaya identity using Neural ODEs |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Browne, P., Lima, A., Arcucci, R., Quilodrán Casas, C. gave a talk entitled 'Forecasting emissions through Kaya identity using Neural ODEs' to the Climate Change AI workshop ICML 2021. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.climatechange.ai/papers/icml2021/82 |
| Description | From Water to Air: Scientific Pathways towards a Clearer, Cleaner Future |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Prof. Kian Fan Chung gave a talk entitled 'SARS-CoV2 and air pollution interactions' to this conference on 6th November 2021 |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://jason.org/from-water-to-air-conference/ |
| Description | High-resolution prediction for urban modelling and design applications |
| 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. Soma Sekhara Rao Kolluru attended the 10th Urban Fluid Mechanics meeting on 'High-resolution prediction for urban modelling and design applications' at the University of Reading on 1st and 2nd September 2022. During this meeting, he met with many young researchers and Professors to discuss his research based on INHALE project. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.urbanfluidmechanics.org/meetings/metofficereading-sept-1-2-2022 |
| Description | Imperial College London published an article 'Air pollution during lockdown and beyond' |
| 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 | Imperial College London published an article 'Air pollution during lockdown and beyond' reporting that air pollution monitors had been installed near South Kensington campus to measure pollution during and after the COVID-19 Lockdown. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.imperial.ac.uk/news/197933/air-pollution-during-lockdown-beyond/ |
| Description | Interventions for improving indoor and outdoor air quality in and around schools' |
| 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 | Further to the publication of 'Interventions for improving indoor and outdoor air quality in and around schools', a press article was published by the University of Surrey on 29th November 2022. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.surrey.ac.uk/news/combination-behaviour-change-campaigns-and-technology-could-help-keep-... |
| Description | Lecture |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Gave a Talk at the GSGA annual meeting. Impact of air pollution on respiratory health: a systems approach Following the Science? Exposure Limits, Toxicology and Human Health Thursday 2nd December 2021 The Gas Analysis and Sensing Group has unveiled the programme for its flagship scientific meeting bringing together the three important topics of exposure limits, toxicology and human health, with an eclectic group of speakers. Many organisations are developing or using sensors and detectors for gases, volatiles and particulate matter with the aim of improving human health and wellbeing: to prevent acute exposure to toxic gases or mitigate long-term chronic effects. But what does this actually mean, are we getting it right and where is the field going next? As we increase our understanding of the effects of airborne substances on the body, exposure limits change over time and our need for monitoring usually steps up a gear. The human body is no passive receptor but an active participant and even a source of gaseous species and aerosols. Speakers at the event will cover air pollution and airborne pathogens, effects on the respiratory system and cognition, the latest toxicology and the impact of all this on exposure limits, health and safety. Dr John Saffell of the organising committee noted: "The whole point of studying toxicology and establishing exposure limits is to improve human health and wellbeing, yet these three topics rarely come together in the same forum. Since health driven Limit Values are the driving force behind the growth of the air quality and health monitoring markets, this could be an important meeting for those interested in the future of gas, VOC and particle sensing." The GASG has been holding online meetings for members and non-members since the pandemic began and has managed to maintain its reputation for an informal, friendly atmosphere with high levels of engagement between attendees and live (rather than recorded) presentations. Free-flowing breakout rooms offer the chance to talk informally to speakers and other attendees. Dr Jane Hodgkinson, GASG Chair, added: "When we started our online meetings, we tried to replicate the live experience as far as possible, and I'm glad to say that our meetings have been incredibly successful. We hope to see our existing members at this meeting and will also extend a warm welcome to newcomers". |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.envirotech-online.com/news/air-monitoring/6/gas-analysis-and-sensing-group-gasg/gasg-81s... |
| Description | Londoners to wear pollution monitors in toxic air study |
| 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 | Media (as a channel to the public) |
| Results and Impact | The Evening Standard ran an article entitled 'Londoners to wear pollution monitors in toxic air study', detailing the INHALE clinical study and how it might link with the expansion of the London Ultra Low Emission Zone expansion on 27th October 2021. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.standard.co.uk/news/london/londoners-pollution-monitors-toxic-air-study-b962524.html |
| 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 | 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 article |
| 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 | Media (as a channel to the public) |
| Results and Impact | Further to the a publication of 'Temporary reduction in fine particulate matter due to 'anthropogenic emissions switch-off' during COVID-19 lockdown in Indian cities' in Science Direct, a press article was published by the University of Surrey. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.surrey.ac.uk/news/covid-19-lockdown-reduced-dangerous-air-pollutants-five-indian-cities-... |
| Description | News article |
| 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 | Imperial College London published an article New remote projects enhance student learning during the pandemic which details a student project connected with INHALE and COVAIR on 31st March 2021. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.imperial.ac.uk/news/218353/new-remote-projects-enhance-student-learning/ |
| Description | News article |
| 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 | Media (as a channel to the public) |
| Results and Impact | Further to the publication of the journal article 'The impacts of existing and hypothetical green infrastructure scenarios on urban heat island formation', a press article was published by the University of Surrey on 18th November 2020. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.surrey.ac.uk/news/trees-and-green-roofs-can-help-reduce-urban-heat-island-effect-finds-n... |
| Description | News article |
| 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 | Further to the publication of the journal article 'Green infrastructure for air quality improvement in street canyons', a press article was published by the University of Surrey on 14th December 2020. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.surrey.ac.uk/news/green-walls-roofs-and-screens-can-improve-air-quality-street-canyons-f... |
| Description | Next Breath: From Water to Air: |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | This was a scientific meeting to discuss air pollution and climate change Next Breath is a charity that aims to bring advances in the cleaning of air to the world's children. The organization especially serves to help the 1.6 billion children who are at the greatest health risk due to dirty air. Led by Lorie Karnath, founding editor of Molecular Frontiers Journal, and Xaviere Masson founder of the World Frontiers Forum, Next Breath is collaborating with other nonprofit and for-profit organizations to provide educational tools as well as to bring simple and accessible non-therapeutic air hygiene to the kids who need them most. In November 2021 Next Breath organized a global program From Water to Air; Scientific Pathways towards a Clearer, Cleaner, Future, which gathered a number of top scientists to highlight advances in air quality control, disease detection and basic human hygiene, as well as help to map out ways to improve respiratory disease, today a leading cause of death in low income countries. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.nextbreath.global/ |
| Description | Physics of Life Town Meeting |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Other audiences |
| Results and Impact | Prof. Chris Pan and Prof. Alex Porter presented the INHALE project at the 2019 Physics of Life Town Meeting at the Royal Society on 3rd December 2019. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Physics of Life from the perspective of early career researchers: How do collaborative, interdisciplinary projects work to address key challenges at the interface of physics and the life sciences? |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Other audiences |
| Results and Impact | Early Career Researchers Teodora Georgescu, Dr Michal Klosowski and Dr Xiaofei Wu presented their INHALE research to an event sponsored and hosted by the Physics of Life Network; 'Physics of Life from the perspective of early career researchers: How do collaborative, interdisciplinary projects work to address key challenges at the interface of physics and the life sciences?' on 13th July 2021, chaired by Claire Dilliway. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.physicsoflife.org.uk/physics-of-life-ecr-workshop.html |
| Description | Preliminary results of variation of particle size distribution and coagulation impact on size resolved particles indoor-outdoor microenvironment |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | Dr Juan Zavala Reyes, Mamatha Tomson, Dr Gopinath Kalaiarasan and Professor Prashant Kumar presented 'Preliminary results of variation of particle size distribution and coagulation impact on size resolved particles indoor-outdoor microenvironment' at European Aerosol Conference (EAC 2021https://eac2021.co.uk/), 30 August - 3 September 2021, to the AH P1 Aerosol sources and exposure poster session on 30th August 2021 |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.conftool.com/eac2021/index.php?page=browseSessions&form_session=86 |
| Description | Press release |
| 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 | Media (as a channel to the public) |
| Results and Impact | Further to the publication of Tiwari, A., Kumar, P., 2020. Integrated dispersion-deposition modelling for air pollutant reduction via green infrastructure at an urban scale. Science of the Total Environment (https://doi.org/10.1038/s41612-020-0115-3) the associated https://www.surrey.ac.uk/news/new-framework-will-help-decide-which-trees-are-best-fight-against-air-pollution generated media interest |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.surrey.ac.uk/news/new-framework-will-help-decide-which-trees-are-best-fight-against-air-... |
| Description | Professor Kian Fan Chung gave a plenary talk on Exposomes and gene interaction in asthma at the EAACI Digital Congress |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Professor Kian Fan Chung gave a plenary talk on Exposomes and gene interaction in asthma at the EAACI Digital Congress on 6 June 2020, describing the INHALE project. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.eaaci.org/eaaci-congresses/eaaci-2020 |
| Description | Quantification of green infrastructure effects on airborne nanoparticles dispersion at an urban scale |
| 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 | Further to the aforementioned publication of 'Quantification of green infrastructure effects on airborne nanoparticles dispersion at an urban scale', a press article entitled 'Surrey's Global Centre for Clean Air Research identifies tall, dense trees as effective weapon against traffic's toxic nanoparticles' was published by the University of Surrey on 16th May 2022. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.surrey.ac.uk/news/surreys-global-centre-clean-air-research-identifies-tall-dense-trees-e... |
| Description | Smart IoT and big data for intelligent health management |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Third sector organisations |
| Results and Impact | Prof. Arvind was invited to participate on an expert panel in BodyNets 2019, Florence, Italy on 2-3 Oct 2019 on the topic "Smart IoT and big data for intelligent health management". |
| Year(s) Of Engagement Activity | 2019 |
| Description | Study to provide new insights into health impact of urban pollution |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Article detailing INHALE study published on Imperial College website and profiled on the front page. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.imperial.ac.uk/news/195396/study-provide-insights-into-health-impact/ |
| Description | The Nexus between Air Pollution, Green Infrastructure and Human Health |
| 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 | A press release was made around this work (https://www.surrey.ac.uk/news/house-developers-could-be-secret-weapon-improving-air-quality), which was widely published by many media articles such as: Science Daily: https://www.sciencedaily.com/releases/2019/10/191030101133.htm EnvironTech: https://envirotecmagazine.com/2019/10/31/house-developers-could-be-the-secret-weapon-to-improving-air-quality-say-experts/ DovMed: https://www.dovemed.com/current-medical-news/housing-developers-could-be-secret-weapon-improving-air-quality/ |
| Year(s) Of Engagement Activity | 2019 |
| Description | The Royal Society Science+ meeting on Air Quality, past, present and future |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Prof. Arvind was invited to present at The Royal Society Science+ meeting on Air Quality, past, present and future on 11-12 Nov 2019. |
| Year(s) Of Engagement Activity | 2019 |
| Description | The co-development of HedgeDATE, a public engagement and decision support tool for air pollution exposure mitigation by green infrastructure |
| 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 | Media (as a channel to the public) |
| Results and Impact | Further to the publication of 'The co-development of HedgeDATE, a public engagement and decision support tool for air pollution exposure mitigation by green infrastructure' and the associated online tool, a press article was published by the University of Surrey on 22nd September 2021. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.surrey.ac.uk/news/new-online-tool-help-residents-reduce-impact-traffic-related-air-pollu... |
| 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 | Understanding the effects of roadside hedges on the horizontal and vertical distributions of air pollutants in street canyons |
| 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 | Media (as a channel to the public) |
| Results and Impact | Further to the publication of 'Understanding the effects of roadside hedges on the horizontal and vertical distributions of air pollutants in street canyons', a press article was published by the University of Surrey on 14th October 2021. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.surrey.ac.uk/news/hedges-reduce-pollution-breathing-height-shallow-street-canyons-study-... |
| Description | We are W11 Sustainability Series: Air Quality talk |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Dr Hisham Abubakar-Waziri gave a talk to the We Are W11 (an RBKC council run group set up in the wake of the Grenfell tragedy) Sustainability Series, session 8. The talk was focussed on air quaity and introduced local residents to the INHALE project and how they might get involved: https://www.wearew11.org/en/the-sustainability-series. Feedback recieved from the organisers: 'We thought it was an excellent presentation and sparked useful discussions for a number of colleagues. We had a really good spread of staff and residents attend, with a high number of attendees considering the time of year where a lot of people seem to be enjoying holidays! Some senior members of staff also attended which is fab! For those unable to attend the session, I returned from leave with multiple requests for the link to the recording so I'm glad people were engaged and keen to listen back to the talk. The presentation sparked numerous conversations within our team. Last week we submitted a funding application for a walking club to be established on the estate. The funding application being submitted on Monday also has a heavy focus on cleaner, greener and active lifestyles which of course support better air quality and health outcomes. I think the main tangible outcome of the presentation was the influence for urgent action to be implemented and for individual attitudes to be changed due to increased awareness of the issue. I personally have not heard of any feedback from residents about the session but we are holding a Community Day this Saturday where we will be having various conversations with residents on the estate so I will be asking residents for their thoughts on the sustainability series and can plug the INHALE project too!' |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.wearew11.org/en/the-sustainability-series |
| Description | Wearable sensors help researchers understand effects of air pollution on health |
| 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 | Media (as a channel to the public) |
| Results and Impact | Imperial College London published an article entitled 'Wearable sensors help researchers understand effects of air pollution on health' detailing the INHALE clinical study and how people in West London can get involved, on 28th October 2021. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.imperial.ac.uk/news/231536/wearable-sensors-help-researchers-understand-effects/ |