Abstract

Volcanic eruptions are amongst the most jeopardizing natural events due to their potential impacts on life, assets, and environment. In particular, atmospheric dispersal of volcanic tephra and aerosols during the explosive eruptions poses a serious threat to life and has significant consequences for infrastructures and global aviation safety. The volcanic island of Jan Mayen, located in the North Atlantic under trans-continental air traffic routes, is considered the northernmost active volcanic area in the world, with at least five eruptive periods recorded during the last 200 years. However, quantitative hazard assessments on the possible consequences for air traffic of a future ash-forming eruption are nonexistent. This study presents the first comprehensive long-term volcanic hazard assessment for Jan Mayen volcanic island in terms of ash dispersal and airborne tephra concentration at different flight levels. In order to delve in the characterization and modelling of that potential impact, a probabilistic approach based on merging a large number of numerical simulations is adopted, varying the volcano’s Eruptive Source Parameters (ESPs) and meteorological scenario. Each ESP value is randomly sampled following a continuous Probability Density Function (PDF) defined from the Jan Mayen geological record. Over 20 years of climatic data are considered in order to explore the natural variability associated with meteorological conditions and used to run thousands of simulations of the ash dispersal model FALL3D on a 2 km-resolution grid. The simulated scenarios are combined to produce probability maps of airborne ash concentration, arrival time and persistence at different flight levels in the atmosphere. The resulting maps represent an aid to civil protection, decision makers and aviation stakeholders in assessing and preventing the potential impact from a future eruption at Jan Mayen.

Highlights

  • Along with earthquakes, tsunamis and weather extremes, explosive volcanic activity is amongst the most threatening natural hazards, with potential to contribute to global warming and environmental changes (e.g. Ward, 2015)

  • This paper presents the first comprehensive long-term Probabilistic Volcanic Hazard Assessment (PVHA) for Jan Mayen 40 volcanic island focused on the potential impact of airborne tephra concentration on arctic and north-Atlantic air routes

  • Our objective is to show the usefulness of High Performance Computing (HPC)-PVHA evaluating the impact of low-probability but high-consequence events on air traffic from a potential eruption at Jan Mayen Island, while quantifying how the 200 Eruptive Source Parameters (ESPs) and wind patterns influence hazard and probability maps of ash dispersal and airborne tephra concentration

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Summary

Introduction

Tsunamis and weather extremes, explosive volcanic activity is amongst the most threatening natural hazards, with potential to contribute to global warming and environmental changes (e.g. Ward, 2015). Lajökull (Iceland, 2010), Grímsvötn (Iceland, 2011) and Puyehue-Cordón Caulle (Chile, 2011) (Budd et al, 2011; Elissondo et al, 2016; Mazzocchi et al, 2010; economics, 2010). These events were a stark remainder on the importance of volcanic hazard assessment and related quantification of impacts of future eruptions, both essential tools to advise governments, avi ation stakeholders and the society in general, contributing, in this way, to their preparedness. 30 Jan Mayen volcano tephrochronology reveals at least 8 eruptive periods over the last 600 years, 5 of them concentrated in the last 200 years (Gjerløw et al, 2016), the potential impact on air traffic following a future ash-forming eruption has never been assessed. Historical distal records of trachytic tephra found in Ireland (Hunt, 2004) and basaltic tephra found in older sedimentary records in the North-Atlantic (Lacasse and Garbe-Schönberg, 2001; Brendryen et al, 2010; Voelker and Haflidason, 2015) or in Greenland ice-cores (Abbott and Davies, 2012) show the potential for producing Plinian explosive eruptions, whose size and frequency are, highly uncertain

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