Reply on RC2
Abstract
Abstract. Numerical simulations have become an important tool for the estimation and mitigation of gravitational mass flows, such as avalanches, landslides, pyroclastic flows or turbidity currents. Depth-integration stands as a pivotal concept in rendering numerical models applicable to real-world scenarios, as it provides the required efficiency and a streamlined workflow for geographic information systems. In recent years, a large number of flow models were developed following the idea of depth-integration, thereby enlarging the applicability and reliability of this family of process models substantially. It has been previously shown that the Finite Area Method of OpenFOAM® can be utilized to express and solve the basic depth-integrated models representing incompressible dense flows. In this manuscript, the previous work (Rauter et al., 2018) is extended beyond the dense flow regime to account for suspended particle flows, such as turbidity currents and powder snow avalanches. A novel coupling mechanism is introduced to enhance the simulation capabilities for mixed snow avalanches. Further, we will give an updated description of the revised computational framework, its integration into OpenFOAM and interfaces to geographic information systems. This work aims to provide practitioners and scientists with an open source tool that facilitates transparency and reproducibility and that can be easily applied to real world scenarios. The tool can be used as a baseline for further developments and in particular allows for modular integration of customized process models.
Authors 2
-
Universität Innsbruck · BOKU University
Affiliation as printed
Department of Civil Engineering and Natural Hazards, University of Natural Resources and Life Sciences, Vienna, Austria
Unit of Geotechnical Engineering, University of Innsbruck, Innsbruck, Austria
-
Julia Kowalski corresponding Aachen Methods for Model–based Development in Computational Engineering
Affiliation as printed
Methods for Model-based Development in Computational Engineering, RWTH Aachen University, Aachen, Germany
Cited by 0 stored of 0
No patents citing this paper on Lens.org (checked 2026-10-06).
References 47
-
W1993206956details pending0citations
-
W2037140993details pending0citations
-
W2069044138details pending0citations
-
W2139417932details pending0citations
-
W2105918836details pending0citations
-
W2016597687details pending0citations
-
W2098233760details pending0citations
-
W1976098013details pending0citations
-
W1982243542details pending0citations
-
W2010552302details pending0citations
-
W2025693051details pending0citations
-
W2035962623details pending0citations
-
W2051832339details pending0citations
-
W2053404357details pending0citations
-
W2054717248details pending0citations