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74 Projects

  • Canada
  • 2018-2022
  • 2018

10
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  • Funder: UKRI Project Code: NE/S003495/1
    Funder Contribution: 4,129,080 GBP

    London and the South-East is the economic 'powerhouse' of England contributing 40% of GDP. Currently there is a shortage of housing, particularly affordable homes, and 50,000 new homes per year are planned for London to 2036. The growing population of London and its planned housing require water to be supplied and flooding to be reduced as far as possible. However, the region is vulnerable to water shortages (droughts) and floods. In the spring of 2012 London was facing potentially its worst drought, with concerns whether Affinity Water could provide sufficient water for some Olympic events. By contrast, the prolonged rainfall that then fell over the summer caused localised flooding and the Thames barrier being closed twice. This swing, over half a year, from extreme shortage of water to excess highlights the major challenge London faces to manage the water environment. This challenge is likely to worsen with climate change alongside the expected economic growth of London and associated increase in population. It also shows how droughts and flooding are two ends of a hydrological spectrum, whose political oversight, i.e. governance, needs to be managed was a whole. It is this need for integrated, collaborative and appropriate management that lies at the heart of CAMELLIA. Focusing on London, CAMELLIA will bring together environmental, engineering, urban planning and socio-economic experts with governmental and planning authorities, industry, developers and citizens to provide solutions that will enable required housing growth in London whilst sustainably managing water and environment in the city. CAMELLIA will be led by Imperial College London, working in collaboration with researchers at University College London, the University of Oxford, and the British Geological Survey. The programme is supported by communities, policymakers and industry including: local and national government, environmental regulators, water companies, housing associations and developers, environmental charities and trusts. Ultimately, the programme aims to transform collaborative water management to support the provision of lower cost and better performing water infrastructure in the context of significant housing development, whilst improving people's local environments and their quality of life. The relationships between the natural environment and urban water infrastructure are highly complex, comprised of ecological, hydrological, economic, technical, political and social elements. It is vital that policy and management are informed by the latest scientific understanding of hydrological and ecological systems. However, for this knowledge to make a change and have an impact, it needs to be positioned within wider socio-technical and economic systems. CAMELLIA will provide a systems framework to translate Natural Environmental Research Council-funded science into decision-making. Enabling a range of organisations and people to contribute to, and apply systems-thinking and co-designed tools to create a paradigm shift in integrated water management and governance underpins CAMELLIA. This will achieve the goal of real stakeholder engagement in water management decisions and provide a template, not just for London's growth, but for other cities, regions and communities both nationally and globally. The proposed work programme consists of four work packages which address 4 key questions, namely: How to understand the system?; How to model the integrated system?; How to analyse that system?; How to apply this systems approach to create impact? To help focus these questions, four London based case studies are being used, each reflecting a key issue: Southwark (urban renewal); Thamesmead (housing development); Mogden (water infrastructure regeneration); Enfield (Flood risk and water quality). From these, an integrated systems model will be applied to the entire city in order to help guide policy, planning and water management decisions.

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  • Funder: SNSF Project Code: 178390
    Funder Contribution: 40,244
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  • Funder: SNSF Project Code: 181301
    Funder Contribution: 152,750
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  • Funder: EC Project Code: 786571
    Overall Budget: 3,885,270 EURFunder Contribution: 3,492,020 EUR

    The ARCSAR project will establish international best practice and propose innovation platforms for the professional security and emergency response institutions in the Arctic and the North-Atlantic. The focus is on increased interaction in targeted networks between the professional institutions, academia and the innovators in the preparedness service and equipment industry. The ARCSAR project will monitor research and innovation projects and recommend the uptake and the industrialization of results, express common requirements as regards innovations that could fill in capability and other gaps and improve their performance in the future, and indicate priorities as regards common capabilities, or interfaces among capabilities, requiring more standardization. The project will look into the need for enhanced measures to respond to composite challenges including surveillance of and mobilization in case of threat situations, and emergency response capability related to search and rescue (SAR), environmental protection, fire fighting, and actions against terror or other forms of destructive action.

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  • Funder: UKRI Project Code: NE/R016968/1
    Funder Contribution: 50,821 GBP

    During 18-19 September, Category 5 Hurricane Maria devastated the small island developing state of Dominica. Sustained winds of 257 Km/h almost completely stripped the island of its forest cover and caused much destruction of buildings and infrastructure. Intense rainfall and uprooting of trees caused numerous landslides, debris flows and river floods. Debris carried by the floods jammed under bridges, exacerbating overbank flooding and damage to infrastructure. Coarse sediment and tree debris discharged to the sea were transported back onto the coastline by the storm surge, damaging shoreline infrastructure. The impact of Hurricane Maria upon the landscape of Dominica and the consequences for disaster risk reduction in Dominica are the focus of this research. This work is urgent because it must be completed before the landscape is further modified by intense rainfall events in the next hurricane season (June-November 2018). To understand how this either decreases or increases geomorphological hazards, as much survey work as possible needs to be done during the debris clearance phase of the recovery operations. We therefore aim to produce a detailed post-event survey, combining remote sensing and fieldwork, of the geomorphological changes caused by Hurricane Maria and an understanding of their effects on post-hurricane landscape instability, focusing on the damage done to critical infrastructure by flooding, debris flows and storm surge erosion. There are three phases to the project: 1) processing of satellite imagery (both optical and radar), evaluating the effectiveness of remote sensing for damage mapping; 2) Fieldwork and verification survey of slope instability features and damaged infrastructure; 3) Analysis of stakeholder perceptions of vulnerability and resilience, with collation of survey results into an assessment of future geohazards, with recommendations on improved disaster risk reduction and enhanced resilience. The project will have many applications: (i) providing a valuable baseline inventory of hurricane impacts in Dominica's landscape and the ensuing damage to infrastructure; (ii) enabling an accuracy assessment of the hurricane damage maps produced from inspection of satellite remote sensing imagery during the disaster response phase; (iii) enabling an examination of the interaction between hurricane-driven geomorphic processes and ensuing damage to critical infrastructure; (iv) improving our understanding of post-hurricane landscape instability and the DRR implications for reconstruction in Dominica.

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  • Funder: SNSF Project Code: 175123
    Funder Contribution: 61,600
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  • Funder: SNSF Project Code: 177999
    Funder Contribution: 117,200
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  • Funder: SNSF Project Code: 178158
    Funder Contribution: 100,980
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  • Funder: UKRI Project Code: EP/R029229/1
    Funder Contribution: 1,530,590 GBP

    As we gain ever-greater control of materials on a very small scale, so a new world of possibilities opens up to be studied for their scientific interest and harnessed for their technological benefits. In science and technology nano often denotes tiny things, with dimensions measured in billionths of metres. At this scale structures have to be understood in terms of the positions of individual atoms and the chemical bonds between them. The flow of electricity can behave like waves, with the effects adding or subtracting like ripples on the surface of a pond into which two stones have been dropped a small distance apart. Electrons can behave like tiny magnets, and could provide very accurate timekeeping in a smartphone. Carbon nanotubes can vibrate like guitar strings, and just as the pitch of a note can be changed by a finger, so they can be sensitive to the touch of a single molecule. In all these effects, we need to understand how the function on the nanoscale relates to the structure on the nanoscale. This requires a comprehensive combination of scientific skills and methods. First, we have to be able to make the materials which we shall use. This is the realm of chemistry, but it also involves growth of new carbon materials such as graphene and single-walled carbon nanotubes. Second, we need to fabricate the tiny devices which we shall measure. Most commonly we use a beam of electrons to pattern the structures which we need, though there are plenty of other methods which we use as well. Third, we need to see what we have made, and know whether it corresponds to what we intended. For this we again use beams of electrons, but now in microscopes that can image how individual atoms are arranged. Fourth, we need to measure how what we have made functions, for example how electricity flows through it or how it can be made to vibrate. A significant new development in our laboratory is the use of machine learning for choosing what to measure next. We have set ourselves the goal that within five years the machine will decide what the next experiment should be to the standard of a second-year graduate student. The Platform Grant renewal 'From Nanoscale Structure to Nanoscale Function' will provide underpinning support for a remarkable team of researchers who bring together exactly the skills set which is needed for this kind of research. It builds on the success of the current Platform Grant 'Molecular Quantum Devices'. This grant has given crucial support to the team and to the development of their careers. The combination of skills, and the commitment to working towards shared goals, has empowered the team to make progress which would not have been possible otherwise. For example, our team's broad range of complementary skills were vital in allowing us to develop a method, now patented, for making nanogaps in graphene. This led to reproducible and stable methods of making molecular quantum devices, the core subject of that grant. The renewal of the Platform Grant will underpin other topics that also build on achievements of the current grant, and which require a similar set of skills to determine how function on the nanoscale depends on structure on the nanoscale. You can get a flavour of the research to be undertaken by the questions which motivate the researchers to be supported by the grant. Here is a selection. Can we extend quantum control to bigger things? Can molecular scale magnets be controlled by a current? How do molecules conduct electricity? How can we pass information between light and microwaves? How can we measure a thousand quantum devices in a single experiment? Are the atoms in our devices where we want them? Can computers decide what to measure next? As we make progress in questions like these, so we shall better understand how structure on the nanoscale gives rise to function on the nanoscale. And that understanding will in turn provide the basis for new discoveries and new technologies.

    visibility88
    visibilityviews88
    downloaddownloads310
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  • Funder: SNSF Project Code: 180870
    Funder Contribution: 82,500
    more_vert
74 Projects
  • Funder: UKRI Project Code: NE/S003495/1
    Funder Contribution: 4,129,080 GBP

    London and the South-East is the economic 'powerhouse' of England contributing 40% of GDP. Currently there is a shortage of housing, particularly affordable homes, and 50,000 new homes per year are planned for London to 2036. The growing population of London and its planned housing require water to be supplied and flooding to be reduced as far as possible. However, the region is vulnerable to water shortages (droughts) and floods. In the spring of 2012 London was facing potentially its worst drought, with concerns whether Affinity Water could provide sufficient water for some Olympic events. By contrast, the prolonged rainfall that then fell over the summer caused localised flooding and the Thames barrier being closed twice. This swing, over half a year, from extreme shortage of water to excess highlights the major challenge London faces to manage the water environment. This challenge is likely to worsen with climate change alongside the expected economic growth of London and associated increase in population. It also shows how droughts and flooding are two ends of a hydrological spectrum, whose political oversight, i.e. governance, needs to be managed was a whole. It is this need for integrated, collaborative and appropriate management that lies at the heart of CAMELLIA. Focusing on London, CAMELLIA will bring together environmental, engineering, urban planning and socio-economic experts with governmental and planning authorities, industry, developers and citizens to provide solutions that will enable required housing growth in London whilst sustainably managing water and environment in the city. CAMELLIA will be led by Imperial College London, working in collaboration with researchers at University College London, the University of Oxford, and the British Geological Survey. The programme is supported by communities, policymakers and industry including: local and national government, environmental regulators, water companies, housing associations and developers, environmental charities and trusts. Ultimately, the programme aims to transform collaborative water management to support the provision of lower cost and better performing water infrastructure in the context of significant housing development, whilst improving people's local environments and their quality of life. The relationships between the natural environment and urban water infrastructure are highly complex, comprised of ecological, hydrological, economic, technical, political and social elements. It is vital that policy and management are informed by the latest scientific understanding of hydrological and ecological systems. However, for this knowledge to make a change and have an impact, it needs to be positioned within wider socio-technical and economic systems. CAMELLIA will provide a systems framework to translate Natural Environmental Research Council-funded science into decision-making. Enabling a range of organisations and people to contribute to, and apply systems-thinking and co-designed tools to create a paradigm shift in integrated water management and governance underpins CAMELLIA. This will achieve the goal of real stakeholder engagement in water management decisions and provide a template, not just for London's growth, but for other cities, regions and communities both nationally and globally. The proposed work programme consists of four work packages which address 4 key questions, namely: How to understand the system?; How to model the integrated system?; How to analyse that system?; How to apply this systems approach to create impact? To help focus these questions, four London based case studies are being used, each reflecting a key issue: Southwark (urban renewal); Thamesmead (housing development); Mogden (water infrastructure regeneration); Enfield (Flood risk and water quality). From these, an integrated systems model will be applied to the entire city in order to help guide policy, planning and water management decisions.

    visibility244
    visibilityviews244
    downloaddownloads351
    Powered by Usage counts
    more_vert
  • Funder: SNSF Project Code: 178390
    Funder Contribution: 40,244
    more_vert
  • Funder: SNSF Project Code: 181301
    Funder Contribution: 152,750
    more_vert
  • Funder: EC Project Code: 786571
    Overall Budget: 3,885,270 EURFunder Contribution: 3,492,020 EUR

    The ARCSAR project will establish international best practice and propose innovation platforms for the professional security and emergency response institutions in the Arctic and the North-Atlantic. The focus is on increased interaction in targeted networks between the professional institutions, academia and the innovators in the preparedness service and equipment industry. The ARCSAR project will monitor research and innovation projects and recommend the uptake and the industrialization of results, express common requirements as regards innovations that could fill in capability and other gaps and improve their performance in the future, and indicate priorities as regards common capabilities, or interfaces among capabilities, requiring more standardization. The project will look into the need for enhanced measures to respond to composite challenges including surveillance of and mobilization in case of threat situations, and emergency response capability related to search and rescue (SAR), environmental protection, fire fighting, and actions against terror or other forms of destructive action.

    more_vert
  • Funder: UKRI Project Code: NE/R016968/1
    Funder Contribution: 50,821 GBP

    During 18-19 September, Category 5 Hurricane Maria devastated the small island developing state of Dominica. Sustained winds of 257 Km/h almost completely stripped the island of its forest cover and caused much destruction of buildings and infrastructure. Intense rainfall and uprooting of trees caused numerous landslides, debris flows and river floods. Debris carried by the floods jammed under bridges, exacerbating overbank flooding and damage to infrastructure. Coarse sediment and tree debris discharged to the sea were transported back onto the coastline by the storm surge, damaging shoreline infrastructure. The impact of Hurricane Maria upon the landscape of Dominica and the consequences for disaster risk reduction in Dominica are the focus of this research. This work is urgent because it must be completed before the landscape is further modified by intense rainfall events in the next hurricane season (June-November 2018). To understand how this either decreases or increases geomorphological hazards, as much survey work as possible needs to be done during the debris clearance phase of the recovery operations. We therefore aim to produce a detailed post-event survey, combining remote sensing and fieldwork, of the geomorphological changes caused by Hurricane Maria and an understanding of their effects on post-hurricane landscape instability, focusing on the damage done to critical infrastructure by flooding, debris flows and storm surge erosion. There are three phases to the project: 1) processing of satellite imagery (both optical and radar), evaluating the effectiveness of remote sensing for damage mapping; 2) Fieldwork and verification survey of slope instability features and damaged infrastructure; 3) Analysis of stakeholder perceptions of vulnerability and resilience, with collation of survey results into an assessment of future geohazards, with recommendations on improved disaster risk reduction and enhanced resilience. The project will have many applications: (i) providing a valuable baseline inventory of hurricane impacts in Dominica's landscape and the ensuing damage to infrastructure; (ii) enabling an accuracy assessment of the hurricane damage maps produced from inspection of satellite remote sensing imagery during the disaster response phase; (iii) enabling an examination of the interaction between hurricane-driven geomorphic processes and ensuing damage to critical infrastructure; (iv) improving our understanding of post-hurricane landscape instability and the DRR implications for reconstruction in Dominica.

    more_vert
  • Funder: SNSF Project Code: 175123
    Funder Contribution: 61,600
    more_vert
  • Funder: SNSF Project Code: 177999
    Funder Contribution: 117,200
    more_vert
  • Funder: SNSF Project Code: 178158
    Funder Contribution: 100,980
    more_vert
  • Funder: UKRI Project Code: EP/R029229/1
    Funder Contribution: 1,530,590 GBP

    As we gain ever-greater control of materials on a very small scale, so a new world of possibilities opens up to be studied for their scientific interest and harnessed for their technological benefits. In science and technology nano often denotes tiny things, with dimensions measured in billionths of metres. At this scale structures have to be understood in terms of the positions of individual atoms and the chemical bonds between them. The flow of electricity can behave like waves, with the effects adding or subtracting like ripples on the surface of a pond into which two stones have been dropped a small distance apart. Electrons can behave like tiny magnets, and could provide very accurate timekeeping in a smartphone. Carbon nanotubes can vibrate like guitar strings, and just as the pitch of a note can be changed by a finger, so they can be sensitive to the touch of a single molecule. In all these effects, we need to understand how the function on the nanoscale relates to the structure on the nanoscale. This requires a comprehensive combination of scientific skills and methods. First, we have to be able to make the materials which we shall use. This is the realm of chemistry, but it also involves growth of new carbon materials such as graphene and single-walled carbon nanotubes. Second, we need to fabricate the tiny devices which we shall measure. Most commonly we use a beam of electrons to pattern the structures which we need, though there are plenty of other methods which we use as well. Third, we need to see what we have made, and know whether it corresponds to what we intended. For this we again use beams of electrons, but now in microscopes that can image how individual atoms are arranged. Fourth, we need to measure how what we have made functions, for example how electricity flows through it or how it can be made to vibrate. A significant new development in our laboratory is the use of machine learning for choosing what to measure next. We have set ourselves the goal that within five years the machine will decide what the next experiment should be to the standard of a second-year graduate student. The Platform Grant renewal 'From Nanoscale Structure to Nanoscale Function' will provide underpinning support for a remarkable team of researchers who bring together exactly the skills set which is needed for this kind of research. It builds on the success of the current Platform Grant 'Molecular Quantum Devices'. This grant has given crucial support to the team and to the development of their careers. The combination of skills, and the commitment to working towards shared goals, has empowered the team to make progress which would not have been possible otherwise. For example, our team's broad range of complementary skills were vital in allowing us to develop a method, now patented, for making nanogaps in graphene. This led to reproducible and stable methods of making molecular quantum devices, the core subject of that grant. The renewal of the Platform Grant will underpin other topics that also build on achievements of the current grant, and which require a similar set of skills to determine how function on the nanoscale depends on structure on the nanoscale. You can get a flavour of the research to be undertaken by the questions which motivate the researchers to be supported by the grant. Here is a selection. Can we extend quantum control to bigger things? Can molecular scale magnets be controlled by a current? How do molecules conduct electricity? How can we pass information between light and microwaves? How can we measure a thousand quantum devices in a single experiment? Are the atoms in our devices where we want them? Can computers decide what to measure next? As we make progress in questions like these, so we shall better understand how structure on the nanoscale gives rise to function on the nanoscale. And that understanding will in turn provide the basis for new discoveries and new technologies.

    visibility88
    visibilityviews88
    downloaddownloads310
    Powered by Usage counts
    more_vert
  • Funder: SNSF Project Code: 180870
    Funder Contribution: 82,500
    more_vert