Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

A hazard assessment framework for landslide-induced impulse waves in high-dam reservoir.

Created on 29 Jun 2026

Authors

Xinchao Ding, Pengfeng Li, Cuiling He, Dong Ma, Ming You, Kaiyu Wang

Published in

Scientific reports. Jun 28, 2026. Epub Jun 28, 2026.

Abstract

Hazard assessment of landslide-induced impulse wave in high-dam reservoirs requires explicit quantification of the cascading processes from slope instability to wave impact. Previous methods often decouple the failure probabilities of slopes from hydrodynamic consequences, hardly considering the nonlinear amplification of cascading hazards. In this study, a physically-based hazard assessment framework from probability to consequence is established for the reservoir landslide in the upstream of the dam. The failure probabilities and models of slope under different reservoir levels are quantified via a Monte Carlo-based limit equilibrium approach. The failure models of slope are then simulated by the multiphase smoothed particle hydrodynamics (SPH) model, for considering landslide impact, wave evolution, and dam interaction. Reservoir level has a dual effect on hazard assessment via the failure probability of the slope and wave impact intensity. The secondary and localized failure of slopes under normal water level produces amplified wave heights due to enhanced impulse transfer and reduced energy dissipation, resulting in comparatively higher integrated risk. In contrast, other failure modes exhibit lower wave amplification despite comparable instability probabilities. Overall, this study provides a quantitative and physically-based framework for assessing landslide-induced wave hazard in high-dam reservoirs, supporting risk-informed safety management and hazard mitigation.

PMID:
42366218
Bibliographic data and abstract were imported from PubMed on 29 Jun 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 7
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement