Enhanced Landslide Risk Assessment Through Non-Probabilistic Stability Analysis: A Hybrid Framework Integrating Space–Time Distribution and Vulnerability Models DOI Open Access

Suxun Shu,

Kang Pi,

Wenhui Gong

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 4146 - 4146

Published: May 3, 2025

Landslide risk assessment can quantify the potential damage caused by landslides to disaster-bearing bodies, which help reduce casualties and economic losses. It is not only a tool for disaster prevention mitigation, but also key step achieve coordinated development of environment, economy, society, it provides important support realization global sustainable goals (SDGs). In this study, method proposed an individual landslide based on non-probabilistic reliability theory. The represents improvement innovation in existing methods, obtain more accurate results with fewer sample data points, refines methods steps assessment, fully considers destabilization mechanism interaction bodies. A analysis slope was conducted, possibility occurrence characterized failure value slope. Moreover, influence range predicted using empirical formulas; space–time distribution probabilities bodies were estimated combining their location activity patterns; vulnerability calculated according intensity resistance or susceptibility index method’s feasibility verified through its application Xiatudiling as case study. process performing stability calculations, found that calculation Monte Carlo consistent those approach paper, able less data. personnel life risks 1.8499 persons/year CNY 184,858/year (USD 25,448/year), respectively, under heavy rainfall conditions. compared judgment criteria geological disasters, both values unacceptable. After treatment, reduced, reduced. Both then became acceptable. effect treatment obvious. new technique assessing designing mitigation strategies. This be applied surveys conducted institutions, demonstrating enhanced applicability data-scarce regions improve efficiency. particularly suitable emergency management authorities, enabling rapid comprehensive levels informed decision making during critical response scenarios.

Language: Английский

An improved CFD-DEM coupling method for simulating the steady seepage-induced behaviors of soil-rock mixture slopes DOI
Lei Xing, Wenping Gong, Jinsong Huang

et al.

Computers and Geotechnics, Journal Year: 2025, Volume and Issue: 180, P. 107069 - 107069

Published: Jan. 27, 2025

Language: Английский

Citations

1
A dynamic earthflow model DOI Creative Commons
Shiva P. Pudasaini, Martin Mergili

Engineering Geology, Journal Year: 2025, Volume and Issue: unknown, P. 107959 - 107959

Published: Feb. 1, 2025

Citations

0
Numerical Investigation into the Runout Dynamics of Reservoir Landslides: Insights from the Yanguan Landslide DOI Open Access
Hao Fang, Li Bing, Kai Liu

et al.

Water, Journal Year: 2025, Volume and Issue: 17(5), P. 695 - 695

Published: Feb. 27, 2025

Understanding the dynamic behavior of landslides is essential for effective risk assessment. This study examines Yanguan landslide, which occurred on 29 October 2017, in Three Gorges Reservoir (TGR) region China. Due to its unique capability modeling discontinuum behaviors during landslide fragmentation, discrete element method was utilized analyze movement characteristics this landslide. The investigation began with a field survey assess geological features and failure mechanism indicates that likely triggered by prolonged variations reservoir water levels heavy rainfall preceding event. Following this, three-dimensional numerical model constructed using pre- post-event terrain data. accuracy validated comparing simulation results Finally, landslide’s energy transformation were analyzed based model. work can enhance assessment quantifying parameters critical impact prediction, further provide scientific basis TGR area, contribute disaster prevention.

Language: Английский

Citations

0
Exploring U-Net Deep Learning Model for Landslide Detection Using Optical Imagery, Geo-indices, and SAR Data in a Data Scarce Tropical Mountain Region DOI
Johnny Alexánder Vega, Sebastián Palomino‐Ángel, César Augusto Hidalgo Montoya

et al.

PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

Language: Английский

Citations

0
Creep parameter inversion and long-term deformation prediction of a near-dam slope considering spatio-temporal deformation data during construction and impoundment period DOI
Yaoru Liu,

Wenyu Zhuang,

Chao Gao

et al.

Engineering Geology, Journal Year: 2025, Volume and Issue: unknown, P. 108043 - 108043

Published: March 1, 2025

Language: Английский

Citations

0
Displacement prediction and failure mechanism analysis of rainfall-induced colluvial landslides DOI
Yabo Li,

Xinli Hu,

Haiyan Zhang

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133361 - 133361

Published: April 1, 2025

Language: Английский

Citations

0
Monitoring data-driven updating post-assessment of the effectiveness of anti-slide piles for colluvial slope stabilization DOI
Yibiao Liu, Benli Liu

Bulletin of Engineering Geology and the Environment, Journal Year: 2025, Volume and Issue: 84(5)

Published: April 29, 2025

Language: Английский

Citations

0
Enhanced Landslide Risk Assessment Through Non-Probabilistic Stability Analysis: A Hybrid Framework Integrating Space–Time Distribution and Vulnerability Models DOI Open Access

Suxun Shu,

Kang Pi,

Wenhui Gong

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 4146 - 4146

Published: May 3, 2025

Landslide risk assessment can quantify the potential damage caused by landslides to disaster-bearing bodies, which help reduce casualties and economic losses. It is not only a tool for disaster prevention mitigation, but also key step achieve coordinated development of environment, economy, society, it provides important support realization global sustainable goals (SDGs). In this study, method proposed an individual landslide based on non-probabilistic reliability theory. The represents improvement innovation in existing methods, obtain more accurate results with fewer sample data points, refines methods steps assessment, fully considers destabilization mechanism interaction bodies. A analysis slope was conducted, possibility occurrence characterized failure value slope. Moreover, influence range predicted using empirical formulas; space–time distribution probabilities bodies were estimated combining their location activity patterns; vulnerability calculated according intensity resistance or susceptibility index method’s feasibility verified through its application Xiatudiling as case study. process performing stability calculations, found that calculation Monte Carlo consistent those approach paper, able less data. personnel life risks 1.8499 persons/year CNY 184,858/year (USD 25,448/year), respectively, under heavy rainfall conditions. compared judgment criteria geological disasters, both values unacceptable. After treatment, reduced, reduced. Both then became acceptable. effect treatment obvious. new technique assessing designing mitigation strategies. This be applied surveys conducted institutions, demonstrating enhanced applicability data-scarce regions improve efficiency. particularly suitable emergency management authorities, enabling rapid comprehensive levels informed decision making during critical response scenarios.

Language: Английский

Citations

0