Project description
Remote sensing to understand long-runout landslide mechanisms
Long-runout landslides are an increasing global threat in tectonically active regions and are challenging to prevent. Effective risk mitigation is essential to avoid catastrophic losses, but a lack of direct observation limits our understanding of their physical mechanisms. Integrating advanced optical and mechanical sensing techniques into hypergravity centrifuge modelling offers a promising way to understand the long-runout process. With the support of the Marie Skłodowska-Curie Actions programme, the LR-SLIDE project will create a geological conceptual model for long-runout landslides. It will also develop a high-fidelity climatic chamber model under hypergravity conditions to study the fluidised transition process driving these movements by employing remote sensing and advanced data-processing techniques. Additionally, a predictive model will address the initiation and runout phases of landslides.
Objective
Long-runout landslides pose a growing global threat to the safe development of tectonically active regions, but are difficult to prevent technically. Risk mitigation is crucial to avert catastrophic losses from such severe geohazards, but is constrained by an incomplete understanding of physical mechanisms behind long-runout landslides, largely due to the absence of direct physical observations of the long-runout process. To bridge this gap, integrating advanced optical and mechanical sensing techniques into hypergravity centrifuge modelling offers a promising avenue for detailed physical observations.
This project aims to achieve three key objectives: (1) Establish a geological conceptual model for long-runout landslides, (2) Develop a high-ratio climatic chamber model under hypergravity centrifuge condition, and (3) Quantify physical mechanisms of the fluidized transition process driving long-runout movement.
To accomplish these goals, remote sensing techniques combined with advanced data-processing methods will be employed to enhance data-collection completeness for geological conceptual model. Hypergravity climatic centrifuge modelling will be utilized to elucidate the coupled triggering effect and complicated fluidized transition process of rock mass. A predictive physical model, involving initiation and runout phases of landslides, will incorporate infrastructure resilience perspectives, thus complementing physics-based risk scenarios development.
This project will be co-supervised by Prof. Madabhushi at the University of Cambridge and Prof. Jaboyedoff at the University of Lausanne. Our interdisciplinary team, encompassing geodetic, geological and geotechnical engineering, is well-positioned to advance geohazard risk management. This work will enhance the fellow’s career prospects, facilitate knowledge transfer between the fellow and host institutions, and deliver significant scientific and socio-economic impacts for global geohazard reduction.
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Keywords
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Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2024-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
CB2 1TN CAMBRIDGE
United Kingdom
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