View source for A Framework for Probabilistic Multi-Hazard Assessment of Rain-Triggered Lahars Using Bayesian Belief Networks

{{MHRA
|Publication Year=2017
|Access=Open
|Link=https://doi.org/10.3389/feart.2017.00073
|Author(s)=Tierz, P., Woodhouse, M. J., Phillips, J. C., Sandri, L., Selva, J., Marzocchi, W., & Odbert, H. M.
|Description=A framework for probabilistic hazard assessment of lahars within a multi-hazard environment developed by [https://doi.org/10.3389/feart.2017.00073 Tierz et al. (2017)] that uses a Bayesian Belief Network model (''Multihaz'') for lahar triggering, coupled with a dynamic physical model for lahar propagation (''LaharFlow''). ''Multihaz'' is used to estimate the probability of lahars of different volumes occurring given information about regional rainfall, scientific knowledge on lahar triggering mechanisms and probabilistic assessment of available pyroclastic material from tephra fallout and pyroclastic density currents. ''LaharFlow'' propagates the uncertainty and probabilities modeled by ''Multihaz'' into hazard footprints of lahars.
|Technical Considerations=Modelling framework not directly available.
|Key Words=Lahars; triggering hazards; hazard modelling; Bayesian Belief Network
|Organisation(s)/Authors=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
}}