Study of avalanche models using well-balanced finite volume schemes

Authors

  • Fernando Campos Departamento de Ingeniería Matemática DIM and Centro de Investigación en Ingeniería Matemática CI2MA, Universidad de Concepción, Concepción, Chile
  • Mauricio Sepúlveda Departamento de Ingeniería Matemática DIM and Centro de Investigación en Ingeniería Matemática CI2MA, Universidad de Concepción, Concepción, Chile
  • Rodrigo Abarca del Río Department of Geophysics, Universidad de Concepción, Concepción, Chile
  • Dieter Issler Department of Natural Hazards, Norwegian Geotechnical Institute, Oslo, Norway

DOI:

https://doi.org/10.21703/0718-281320233306

Keywords:

avalanches, natural disasters, Saint Venant's equations, well balanced finite volumes, hydrostatic reconstruction

Abstract

Avalanches are natural disasters with substantial human and economic consequences worldwide. Chile, a mountainous country, is particularly susceptible to these events. In this study, we employ a numerical technique based on the Saint-Venant system of differential equations and the well-balanced Finite Volume method with hydrostatic reconstruction to analyse snow avalanche behaviour, taking into account topography and friction as described by the Voellmy-Salm rheology model. The Rigopiano avalanche in Italy serves as a case study to test and validate our strategy, demonstrating the model’s potential in simulating real-world avalanche events. The numerical model is thoroughly explained, and the results for the real avalanche case are presented visually, showing close alignment with field data and estimates from the literature. In conclusion, we highlight key findings, emphasize the importance of further research in avalanche modelling, and suggest the potential applications of these models for avalanche risk management in regions like Chile.

Published

2023-06-19

How to Cite

Campos, F., Sepúlveda, M., Abarca del Río, R., & Issler, D. (2023). Study of avalanche models using well-balanced finite volume schemes. Obras Y Proyectos, (33), 55–63. https://doi.org/10.21703/0718-281320233306

Issue

Section

Articles