Non-hydrostatic depth-integrated models for dam break flows through rigid-emergent vegetation

Dam failures can trigger catastrophic downstream flooding, threatening lives, and infrastructure. Vegetation acts like a natural dam break flow buffer, dissipating energy, reducing wave height and celerity. This highlights importance of vegetation in flood mitigation strategies. Few existing numerical models consider how vegetation affects dam breaks. This is because it is difficult to calculate vegetation drag force in unsteady rapidly varied flows. This study addresses this gap by developing a non-hydrostatic depth-integrated model to simulate the effect of rigid emergent vegetation on dam break flows under various flow conditions. The model was validated with experimental data. Vegetation was simulated with wooden cylinders with different coverage areas and densities within a straight channel. Three dam break scenarios were investigated in the experiment using different Froude numbers to represent diverse flow regimes. The non-hydrostatic depth-integrated model of the General Bottom Velocity method (GBVC4- DWL) was developed to incorporate the vegetation effect through the drag force equation for non-uniform open channel flows. The results show that rigid emergent vegetation significantly reduces wave celerity and height, particularly downstream, demonstrating its importance in flood mitigation. The numerical model accurately predicted wave behaviour outside the vegetation zone but have difficulties within it, highlighting the need for the model to be improved to capture complex vegetation-flow interactions.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-01-15
DOI
https://doi.org/10.1051/e3sconf/202560304002/pdf
Primary Topic
Hydrology and Sediment Transport Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Non-hydrostatic depth-integrated models for dam break flows through rigid-emergent vegetation

Springer Link (Chiba Institute of Technology)
Hydrology and Sediment Transport Processes
article

Non-hydrostatic depth-integrated models for dam break flows through rigid-emergent vegetation

article en

Abstract

Dam failures can trigger catastrophic downstream flooding, threatening lives, and infrastructure. Vegetation acts like a natural dam break flow buffer, dissipating energy, reducing wave height and celerity. This highlights importance of vegetation in flood mitigation strategies. Few existing numerical models consider how vegetation affects dam breaks. This is because it is difficult to calculate vegetation drag force in unsteady rapidly varied flows. This study addresses this gap by developing a non-hydrostatic depth-integrated model to simulate the effect of rigid emergent vegetation on dam break flows under various flow conditions. The model was validated with experimental data. Vegetation was simulated with wooden cylinders with different coverage areas and densities within a straight channel. Three dam break scenarios were investigated in the experiment using different Froude numbers to represent diverse flow regimes. The non-hydrostatic depth-integrated model of the General Bottom Velocity method (GBVC4- DWL) was developed to incorporate the vegetation effect through the drag force equation for non-uniform open channel flows. The results show that rigid emergent vegetation significantly reduces wave celerity and height, particularly downstream, demonstrating its importance in flood mitigation. The numerical model accurately predicted wave behaviour outside the vegetation zone but have difficulties within it, highlighting the need for the model to be improved to capture complex vegetation-flow interactions.

Springer Link (Chiba Institute of Technology)
Industry, innovation and infrastructure
Openalex Percentile: Top 34%
Hydrology and Sediment Transport Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.