A Framework for Probabilistic Multi-Hazard Assessment of Rain-Triggered Lahars Using Bayesian Belief Networks: Difference between revisions
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Revision as of 14:48, 26 July 2022
Year of publication: 2017
Access: Open access publication
Link: https://doi.org/10.3389/feart.2017.00073
Organisation(s) / Author(s): Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione di Bologna, Italy; School of Earth Sciences, University of Bristol, UK; Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione di Roma, Italy; UK Meteorological Office
Description
Framework for probabilistic hazard assessment of lahars within a multi-hazard environment, based on coupling a probabilistic model for lahar triggering (a Bayesian Belief Network: Multihaz) with a dynamic physical model for lahar propagation (LaharFlow).
Technical considerations
Modelling framework not directly available.
Keywords
Lahars; triggering hazards; hazard modelling; Bayesian Belief Network
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