Benchmarking computational fluid dynamics models of lava flow simulation for hazard assessment, forecasting, and risk management

Journal of Applied Volcanology

Jiangzhi Chen¹  Einat Lev²  Jacob A. Richardson³  Katharine V. Cashman⁴  Hannah R. Dietterich⁵ 

[1] Department of Earth and Environmental Science, University of Pennsylvania;Lamont-Doherty Earth Observatory;Planetary Geology, Geophysics, and Geochemistry Lab, NASA Goddard Space Flight Center;School of Earth Sciences, University of Bristol;Volcano Science Center, U.S. Geological Survey;

关键词: Lava flows;    Numerical modeling;    Analogue experiments;    Benchmarking;    Model validation;   

DOI  :  10.1186/s13617-017-0061-x

来源: DOAJ

【 摘 要 】

Abstract Numerical simulations of lava flow emplacement are valuable for assessing lava flow hazards, forecasting active flows, designing flow mitigation measures, interpreting past eruptions, and understanding the controls on lava flow behavior. Existing lava flow models vary in simplifying assumptions, physics, dimensionality, and the degree to which they have been validated against analytical solutions, experiments, and natural observations. In order to assess existing models and guide the development of new codes, we conduct a benchmarking study of computational fluid dynamics (CFD) models for lava flow emplacement, including VolcFlow, OpenFOAM, FLOW-3D, COMSOL, and MOLASSES. We model viscous, cooling, and solidifying flows over horizontal planes, sloping surfaces, and into topographic obstacles. We compare model results to physical observations made during well-controlled analogue and molten basalt experiments, and to analytical theory when available. Overall, the models accurately simulate viscous flow with some variability in flow thickness where flows intersect obstacles. OpenFOAM, COMSOL, and FLOW-3D can each reproduce experimental measurements of cooling viscous flows, and OpenFOAM and FLOW-3D simulations with temperature-dependent rheology match results from molten basalt experiments. We assess the goodness-of-fit of the simulation results and the computational cost. Our results guide the selection of numerical simulation codes for different applications, including inferring emplacement conditions of past lava flows, modeling the temporal evolution of ongoing flows during eruption, and probabilistic assessment of lava flow hazard prior to eruption. Finally, we outline potential experiments and desired key observational data from future flows that would extend existing benchmarking data sets.

【 授权许可】

Unknown