Project description
Tracking landslides and flood risks
Floods and landslides are worsening due to climate change, affecting over two billion people globally between 1998 and 2017. In mountainous areas, these events cause rapid erosion, shaping the landscape over time. However, understanding these processes is difficult because observations are limited, and current theories do not fully explain how they begin or evolve. Better knowledge is crucial for predicting and managing these risks. In this context, the ERC-funded UNREST project aims to solve this problem by using advanced seismic techniques and models to study rapid erosion with unprecedented spatial and temporal resolution. By identifying warning signs of landslides and tracking dangerous flood flows, UNREST will advance early warning capabilities and help protect communities in vulnerable regions..
Objective
Floods and landslides are an intensifying hazard in the context of climate change that affected over 2 billion people worldwide between 1998-2017. In mountainous catchments, these processes play a significant role in rapid erosion contributing to landscape evolution. Yet, multiple barriers limit our current understanding of rapid erosion dynamics, such as the applicability of theoretical transport laws to complex real-world systems, poor understanding of the mechanism behind the initiation of rapid erosion processes, and sparsely distributed observations in time and space.
The UNREST project will cut this Gordian knot by pioneering an interdisciplinary observational framework that integrates several state-of-the-art seismic techniques (spatially dense arrays, seismic interferometry, and machine learning) with physical and numerical models on a previously unexplored spatiotemporal scale. This will be done through three main objectives: (1) identify precursors and magnitude indicators of impending landslides, (2) link seismic signals to complex landslide dynamics, and (3) develop new tools to track unstable flood flow across multiple scales. The project will be conducted in four active Alpine catchments in France and Switzerland, with the developed methods tested in an entirely different geomorphic, geologic, and climatic setting of New Caledonia, a South Pacific island.
UNREST will unveil critical thresholds in damage development on unstable slopes and previously unobserved patterns and behaviors in complex flow dynamics. These findings, augmented by the development of near-real time data processing workflows, will have a transformative impact on the understanding of rapid erosion dynamics, paving the way to enhanced warning systems in mountainous catchments.
Fields of science (EuroSciVoc)
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CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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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)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
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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.
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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.
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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) ERC-2024-STG
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75794 PARIS
France
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