basement v3: A modular freeware for river process modelling over multiple computational backends

Vanzo, Davide; Peter, S.J.; Vonwiller, Lukas; Bürgler, Matthias; Weberndorfer, Manuel; Siviglia, Annunziato; Conde, Daniel; Vetsch, David

doi:10.1016/j.envsoft.2021.105102

Cited by 33 publications

(24 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The present work presents an attempt to develop a 2D numerical morphodynamic model based on BASEMENT, around the Îlot Tison weir in Poitiers (France). BASEMENT is an open source software developed at the laboratory of Hydraulics, Hydrology and Glaciology of the ETH Zürich (Faeh et al, 2009; Randriamparany, Ratsaramody, & Randriazanamparany, 2021; Vanzo et al, 2021). The finite volume method is used to solve the flow and sediment transport equations.…”

Section: Physical and Numerical Modelsmentioning

confidence: 99%

“…On the right bank, the semiautomatic valve was installed at the end of the 1980s (see Figure 1d). (Faeh et al, 2009;Randriamparany, Ratsaramody, & Randriazanamparany, 2021;Vanzo et al, 2021). The finite volume method is used to solve the flow and sediment transport equations.…”

Section: Description Of Study Sitementioning

confidence: 99%

“…Today, the main difficulty in using numerical morphodynamic models is that they are used by nonspecialists modellers or modellers that are not morphodynamics specialists, which can lead to errors. These errors include inadequate parameterization of processes for applications at larger spatial and temporal scales, confusion between physical and numerical phenomena when interpreting numerical results, and the assumption that there is a need for a huge volume of data for developing numerical morphodynamic models (Mosselman & Le, 2016; Shimizu et al, 2020; Siviglia & Crosato, 2016; Vanzo et al, 2021; Zischg, Mosimann, Bernet, & Röthlisberger, 2018).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Study of the impact of the Îlot Tison weir on bedload transport of the Clain River (Poitiers, France) using BASEMENT software

Beaudoin

2022

River Research & Apps

View full text Add to dashboard Cite

An increasing number of numerical morphodynamic models predict the evolution of bed configuration over a wide spectrum of spatial and temporal scales due to the development of advanced numerical methods and increased computational power. The increasing use of numerical morphodynamic models is closely related to the growing availability of high‐resolution river data sets. Today, the main difficulty in using numerical morphodynamic models is that they are used by nonspecialists modellers or modellers that are not morphodynamics specialists, which can lead to errors. These errors include inadequate parameterization of processes for applications at larger spatial and temporal scales, confusion between physical and numerical phenomena when interpreting numerical results, and the assumption that there is a need for a huge volume of data for developing numerical morphodynamic models. The present work aims to achieve two objectives. To avoid these errors, the first objective is to outline the steps in the development of numerical morphodynamic models. The development of numerical morphodynamic models is now possible with public databases. The second objective is to show the effectiveness of BASEMENT to study the impact of existing and future structures on the river hydrodynamics and bedload transport using case study examples.

show abstract

Section: Physical and Numerical Modelsmentioning

confidence: 99%

Section: Description Of Study Sitementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Study of the impact of the Îlot Tison weir on bedload transport of the Clain River (Poitiers, France) using BASEMENT software

Beaudoin

2022

River Research & Apps

View full text Add to dashboard Cite

show abstract

“…For the present study, the underlying mathematical description is based on a decoupled system of equations given by the 2D-depth averaged non-linear shallow-water model for hydrodynamics and the Exner equation for morphodynamics (Vanzo et al, 2021). BASEMENT is based on the shallow-water equations and is thus very similar to common tsunami codes such as GeoClaw (Berger et al, 2011).…”

Section: Numerical Simulation Validation Visualization and Sensitivit...mentioning

confidence: 99%

“…Data of core scans (MSCL and XRF), LDA particle-size measurements, virtual gauge used for the sensitivity analysis, interpolated lake bathymetry of the area used for numerical wave-propagation simulation, and coordinates of sediment cores, lake-bed samples, and virtual gauges used in this research are available from the data repository Pangaea (https://doi:10.1594/PANGAEA.938716) by Nigg, Bacigaluppi, et al (2021). The BASE-MENT software used in this research is described in detail in Vetsch et al (2020) and Vanzo et al (2021). SNSF Sinergia Project "Lake tsunami: causes, controls and hazard."…”

Section: Data Availability Statementmentioning

confidence: 99%

Shallow‐Water Tsunami Deposits: Evidence From Sediment Cores and Numerical Wave Propagation of the 1601 CE Lake Lucerne Event

Nigg

Bacigaluppi

Vetsch

et al. 2021

Geochem Geophys Geosyst

Self Cite

View full text Add to dashboard Cite

The 1601 CE earthquake (Mw ca. 5.9) in “Unterwalden,” Central Switzerland, triggered multiple subaqueous mass movements and a subaerial rockfall that generated tsunami waves with run‐up heights of up to 4 m and several hundred meters of inundation along the coastal lowlands of Lake Lucerne. In the shallow Lucerne Bay, historical chronicles reported an oscillation of the water with an initial amplitude of ∼1–2 m and a period of 10 min, which continued for several days after the event with decreasing amplitude. Here, we investigate the lake‐tsunami process chain from subaqueous mass movement‐generated tsunami to wave propagation and ultimately to sediment resuspension, transport, and deposition in the shallow‐water environment. The effects of the historical tsunami on Lucerne Bay are reconstructed using sediment‐core analysis and numerical simulation of wave propagation. A 60‐cm‐thick event deposit was recovered along a sediment‐core transect in the shallow waters and radiocarbon dated to 1306–1442 cal CE. The event deposit has a sharp basal contact with carbonate shell fragments followed upwards a normally graded succession of siliciclastic sand to silt with a high proportion of horizontally bedded wooden particles. The numerically simulated tsunami waves are characterized by a water‐surface displacement of up to 1.5 m and generate bed shear‐stresses that are likely capable of remobilizing large amounts of sediments in the Lucerne Bay area. Our study successfully links the sedimentology of event deposits with physical principles of sediment mobilization derived from numerical wave‐forward modeling, providing a tool to improve the identification and interpretation of potential tsunami deposits.

show abstract

Glaciers and Glacier Lake Outburst Floods in the Himalaya

Andermann

Nepal

Wagnon

et al. 2023

Himalaya, Dynamics of a Giant 3

View full text Add to dashboard Cite

basement v3: A modular freeware for river process modelling over multiple computational backends

Cited by 33 publications

References 63 publications

Study of the impact of the Îlot Tison weir on bedload transport of the Clain River (Poitiers, France) using BASEMENT software

Study of the impact of the Îlot Tison weir on bedload transport of the Clain River (Poitiers, France) using BASEMENT software

Shallow‐Water Tsunami Deposits: Evidence From Sediment Cores and Numerical Wave Propagation of the 1601 CE Lake Lucerne Event

Glaciers and Glacier Lake Outburst Floods in the Himalaya

Contact Info

Product

Resources

About