Impulse waves generated by high-Froude-number subaerial landslides in reservoir areas

To explore the formation mechanism and near-field characteristics of impulse waves generated by high-Froude-number subaerial landslides, this study conducts an experimental investigation using a large-scale three-dimensional physical model based on a real-world prototype. The results show that impulse waves propagate radially in the near field, forming multiple distinct wave trains. Among them, the amplitudes of the first two wave trains are substantially greater than those of the subsequent ones. The leading wave consistently manifests as a crest significantly higher than its trough, indicating a strongly nonlinear wave field. In over 70% of the experimental cases, the crest amplitude of the first wave train exceeds that of the second. A clear power-law relationship is observed between the relative wave height and the relative crest amplitude of the primary wave. Based on dimensionless analysis, a new semiempirical prediction formula for the maximum amplitude of the first impulse wave is developed. This formula demonstrates superior predictive accuracy, with errors predominantly below 5%, outperforming several established empirical formulas. Parametric sensitivity analysis indicates that the landslide sliding velocity exerts the most significant influence on the maximum wave amplitude, followed by the water-entry volume, while the initial water depth has a comparatively minor effect. These findings provide a reliable reference for hazard assessment and risk mitigation strategies for reservoirs in mountainous regions.

Authors

Institutions

Publication Details

Journal
Physics of Fluids
Published
2026-03-01
DOI
https://doi.org/10.1063/5.0320959
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impulse waves generated by high-Froude-number subaerial landslides in reservoir areas

Rubin Yu-Wen Wang, Hui Liang, Huachen Wang, Shizhuang Chen et al.
Physics of Fluids
Landslides and related hazards
article

Impulse waves generated by high-Froude-number subaerial landslides in reservoir areas

Rubin Yu-Wen Wang, Hui Liang, Huachen Wang, Shizhuang Chen, Weijing Chu, Yelin Feng, Qi Huang, Peng Zheng, Fengyuan Cao, Weiya Xu, Guangming Chen, Yangyang Zhang
article en

Abstract

To explore the formation mechanism and near-field characteristics of impulse waves generated by high-Froude-number subaerial landslides, this study conducts an experimental investigation using a large-scale three-dimensional physical model based on a real-world prototype. The results show that impulse waves propagate radially in the near field, forming multiple distinct wave trains. Among them, the amplitudes of the first two wave trains are substantially greater than those of the subsequent ones. The leading wave consistently manifests as a crest significantly higher than its trough, indicating a strongly nonlinear wave field. In over 70% of the experimental cases, the crest amplitude of the first wave train exceeds that of the second. A clear power-law relationship is observed between the relative wave height and the relative crest amplitude of the primary wave. Based on dimensionless analysis, a new semiempirical prediction formula for the maximum amplitude of the first impulse wave is developed. This formula demonstrates superior predictive accuracy, with errors predominantly below 5%, outperforming several established empirical formulas. Parametric sensitivity analysis indicates that the landslide sliding velocity exerts the most significant influence on the maximum wave amplitude, followed by the water-entry volume, while the initial water depth has a comparatively minor effect. These findings provide a reliable reference for hazard assessment and risk mitigation strategies for reservoirs in mountainous regions.

Physics of FluidsVol. 38(3)
Hohai University (CN), Zhejiang Institute of Communications (CN), PowerChina (China) (CN), Powerchina Huadong Engineering Corporation (China) (CN)
Openalex Percentile: Top 8%
Landslides and related hazards
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.