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International Journal for Uncertainty Quantification
IF: 0.967 5-Year IF: 1.301 SJR: 0.531 SNIP: 0.8 CiteScore™: 1.52

ISSN Print: 2152-5080
ISSN Online: 2152-5099

Open Access

International Journal for Uncertainty Quantification

DOI: 10.1615/Int.J.UncertaintyQuantification.2015011451
pages 297-325


M. J. Bayarri
Departament d Estadistica y Investigacio Operativa, Universitat de Valencia, 46100 Burjassot, Valencia, Spain
J. O. Berger
Department of Statistical Science, Duke University, Durham, North Carolina 27708-0251, USA; Department of Statistics, King Abdulaziz University, Jeddah, Saudi Arabia
E. S. Calder
Earth and Planetary Science, The University of Edinburgh, Edinburgh, UK
Abani K. Patra
Mechanical and Aerospace Engineering Department of University at Buffalo-SUNY, Buffalo, New York, 14260, USA
E Bruce Pitman
Department of Mathematics, University at Buffalo Buffalo, New York 14260, USA
E. T. Spiller
Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee, Wisconsiin 53201, USA
Robert L. Wolpert
Department of Statistical Science, Duke University, Durham, North Carolina 27708-0251, USA


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 Soufriere 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.