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Steps Towards Forecasting Cascading Mountain Hazards

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If you have a question about this talk, please contact Adriano Gualandi .

Landslides, debris flows, and avalanches, are fast-moving, high-impact phenomena that threaten nearly 8% of the global population. Forecasting them is essential to reducing human and economic losses, but two major challenges still remain: identifying where initial slope failure will occur and predicting their runout once triggered. In this talk, I will present work on spaceborne offset tracking to detect precursory motion before failure and neural network emulators for fast, single-phase geophysical flow modeling to efficiently propagate uncertainty into flow predictions. Together, these approaches are key steps towards forecasting cascading mountain hazards.

This talk is part of the Bullard Laboratories Wednesday Seminars series.

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Meeting ID: 878 2579 3319. Passcode: 928055 Average on weekdays: 8975.45034247 kWh Average on weekdays: 9024.06666667 kWh

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