Probabilistic quantification of hazards: A methodology using small ensembles of physics-based simulations and statistical surrogates


Journal Article

© 2015 by Begell House, Inc. This paper presents a novel approach to assessing the hazard threat to a locale due to a large volcanic avalanche. The methodology combines: (i) mathematical modeling of volcanic mass flows; (ii) field data of avalanche frequency, volume, and runout; (iii) large-scale numerical simulations of flow events; (iv) use of statistical methods to minimize computational costs, and to capture unlikely events; (v) calculation of the probability of a catastrophic flow event over the next T years at a location of interest; and (vi) innovative computational methodology to implement these methods. This unified presentation collects elements that have been separately developed, and incorporates new contributions to the process. The field data and numerical simulations used here are subject to uncertainty from many sources, uncertainties that must be properly accounted for in assessing the hazard. The methodology presented here will be demonstrated with data from the Soufrière Hills Volcano on the island of Montserrat, where there is a relatively complete record of volcanic mass flows from the past 15 years. This methodology can be transferred to other volcanic sites with similar characteristics and where sparse historical data have prevented such high-quality analysis. More generally, the core of this methodology is widely applicable and can be used for other hazard scenarios, such as floods or ash plumes.

Full Text

Duke Authors

Cited Authors

  • Bayarri, MJ; Berger, JO; Calder, ES; Patra, AK; Pitman, EB; Spiller, ET; Wolpert, RL

Published Date

  • January 1, 2015

Published In

Volume / Issue

  • 5 / 4

Start / End Page

  • 297 - 325

Electronic International Standard Serial Number (EISSN)

  • 2152-5099

International Standard Serial Number (ISSN)

  • 2152-5080

Digital Object Identifier (DOI)

  • 10.1615/Int.J.UncertaintyQuantification.2015011451

Citation Source

  • Scopus