A framework for validation and benchmarking of pyroclastic current models

被引:22
作者
Ongaro, T. Esposti [1 ]
Cerminara, M. [1 ]
Charbonnier, S. J. [2 ]
Lube, G. [3 ]
Valentine, G. A. [4 ]
机构
[1] Ist Nazl Geofis & Vulcanol, Sez Pisa, Via Faggiola 32, I-56126 Pisa, Italy
[2] Univ S Florida, Sch Geosci, 4202 E Fowler Ave, Tampa, FL 33620 USA
[3] Massey Univ, Private Bag 11222, Palmerston North 4442, New Zealand
[4] Univ Buffalo, Dept Geol, 126 Cooke Hall, Buffalo, NY 14221 USA
基金
美国国家科学基金会;
关键词
Pyroclastic currents; Numerical models; Validation; Verification; Benchmarking; LARGE-EDDY SIMULATION; SOUFRIERE HILLS VOLCANO; LADEN GRAVITY CURRENTS; RUN-OUT DISTANCE; MOUNT ST-HELENS; DENSITY CURRENTS; NUMERICAL-SIMULATION; FLOW MODEL; PLINIAN ERUPTION; UNZEN VOLCANO;
D O I
10.1007/s00445-020-01388-2
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Numerical models of pyroclastic currents are widely used for fundamental research and for hazard and risk modeling that supports decision-making and crisis management. Because of their potential high impact, the credibility and adequacy of models and simulations needs to be assessed by means of an established, consensual validation process. To define a general validation framework for pyroclastic current models, we propose to follow a similar terminology and the same methodology that was put forward by Oberkampf and Trucano (Prog Aerosp Sci, 38, 2002) for the validation of computational fluid dynamics (CFD) codes designed to simulate complex engineering systems. In this framework, the termvalidationis distinguished fromverification(i.e., the assessment of numerical solution quality), and it is used to indicate a continuous process, in which the credibility of a model with respect to its intended use(s) is progressively improved by comparisons with a suite of ad hoc experiments. The methodology is based on a hierarchical process of comparing computational solutions with experimental datasets at different levels of complexity, from unit problems (well-known, simple CFD problems), through benchmark cases (complex setups having well constrained initial and boundary conditions) and subsystems (decoupled processes at the full scale), up to the fully coupled natural system. Among validation tests, we also further distinguish betweenconfirmation(comparison of model results with a single, well-constrained dataset) andbenchmarking(inter-comparison among different models of complex experimental cases). The latter is of particular interest in volcanology, where different modeling approaches and approximations can be adopted to deal with the large epistemic uncertainty of the natural system.
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页数:17
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