SOURCE-LINKED INTELLIGENCE

UNveiling dynamics of Rapid Erosion through advanced Seismic Techniques

CORDIS · observation · Publication date unknown

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 r

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recordType

award

status

SIGNED

region

EU

value

1771915

unit

EUR