Characteristics of landslide movement and dynamic processes in Hongyacun landslide cluster, Qinghai Province, China

Landslide clusters pose significant threats to mountainous regions worldwide, with their complex failure mechanisms and dynamic behaviors requiring comprehensive investigation. This study focuses on the Hongyacun landslide cluster in Qinghai Province, China, a representative example of multi-stage s...

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Main Authors: Gang Wei, Zejun Xia, Jinkai Yan, Bin Li, Xinning Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Earth Science
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Online Access:https://www.frontiersin.org/articles/10.3389/feart.2025.1551527/full
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author Gang Wei
Gang Wei
Zejun Xia
Zejun Xia
Jinkai Yan
Bin Li
Bin Li
Bin Li
Xinning Wu
Xinning Wu
author_facet Gang Wei
Gang Wei
Zejun Xia
Zejun Xia
Jinkai Yan
Bin Li
Bin Li
Bin Li
Xinning Wu
Xinning Wu
author_sort Gang Wei
collection DOAJ
description Landslide clusters pose significant threats to mountainous regions worldwide, with their complex failure mechanisms and dynamic behaviors requiring comprehensive investigation. This study focuses on the Hongyacun landslide cluster in Qinghai Province, China, a representative example of multi-stage slope failures triggered by hydrological and geological interactions. By integrating field observations with advanced numerical modeling, we aim to reconstruct the full kinematic process of four sub-landslides within the cluster and elucidate the critical factors governing their initiation, motion, and deposition. The research provides insights into flow-slide dynamics under rainfall conditions, addressing a key gap in hazard assessment methodologies for analogous landslide-prone regions. A multidisciplinary approach was employed combining detailed field surveys and three-dimensional numerical simulations. Field investigations mapped the spatial distribution and geometric characteristics of the four sub-landslides (total volume: 2.46 × 106 m3), while geotechnical analyses identified moisture-induced strength reduction as a primary destabilization factor. The Landslides Post-Failure 3D (LPF3D) simulator was implemented to reconstruct landslide kinematics under two scenarios: natural (pre-rainfall) and rainfall-saturated states. The simulations incorporated soil rheological parameters, hydrological conditions, and terrain data, with particular attention to fluid-solid interactions during motion. Numerical simulations revealed distinct motion patterns between dry and saturated conditions. Continuous rainfall infiltration increased soil saturation by 18-25%, reducing shear strength while enhancing material fluidity. This hydrological transformation generated significant hydrodynamic effects during sliding, with fluid drag forces amplifying mobility rather than providing resistance. Sub-landslide H2-2 exhibited the most hazardous behavior, achieving peak velocity of 32.5 m/s within 70 s and traveling 700 m—42% farther than dry-state simulations predicted. Deposit patterns from all sub-landslides showed >85% spatial consistency with field observations, validating the model's predictive capability. This study demonstrates that rainfall-induced pore pressure development creates dual destabilization effects: reducing shear resistance while enabling fluid-mediated lubrication. The paradoxical role of hydrodynamic forces—enhancing mobility through drag-induced momentum transfer rather than damping—explains the exceptional runout distances observed. The H2-2 sub-landslide’s predominance in damage potential correlates with its unique geometric positioning and hydrological connectivity within the cluster. These findings advance understanding of multi-landslide interaction mechanisms and provide a validated framework for assessing rainfall-triggered landslide cascades. The LPF3D methodology proves particularly effective for hazard zonation in complex terrain, offering critical inputs for early warning systems and mitigation planning in comparable geological settings.
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publisher Frontiers Media S.A.
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spelling doaj-art-b75a6ce70e3d423aaff363faaf0d1a262025-08-20T02:47:24ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632025-03-011310.3389/feart.2025.15515271551527Characteristics of landslide movement and dynamic processes in Hongyacun landslide cluster, Qinghai Province, ChinaGang Wei0Gang Wei1Zejun Xia2Zejun Xia3Jinkai Yan4Bin Li5Bin Li6Bin Li7Xinning Wu8Xinning Wu9Key Laboratory of Environmental Geology of Qinghai Province, Qinghai Environmental Geological Prospecting Bureau, Xining, Qinghai, ChinaQinghai 906 Engineering Survey and Design Institute, Xining, Qinghai, ChinaKey Laboratory of Environmental Geology of Qinghai Province, Qinghai Environmental Geological Prospecting Bureau, Xining, Qinghai, ChinaQinghai 906 Engineering Survey and Design Institute, Xining, Qinghai, ChinaChinese Academy of Geological Sciences, Beijing, ChinaThe Third Non-ferrous Geological Exploration Institute of Qinghai Province, Xining, Qinghai, ChinaCollege of Geology and Environment, Xi’an University of Science and Technology, Xi’an, Shaanxi, ChinaThe First Non-ferrous Geological Exploration Institute of Qinghai Province, Xining, Qinghai, ChinaKey Laboratory of Environmental Geology of Qinghai Province, Qinghai Environmental Geological Prospecting Bureau, Xining, Qinghai, ChinaQinghai 906 Engineering Survey and Design Institute, Xining, Qinghai, ChinaLandslide clusters pose significant threats to mountainous regions worldwide, with their complex failure mechanisms and dynamic behaviors requiring comprehensive investigation. This study focuses on the Hongyacun landslide cluster in Qinghai Province, China, a representative example of multi-stage slope failures triggered by hydrological and geological interactions. By integrating field observations with advanced numerical modeling, we aim to reconstruct the full kinematic process of four sub-landslides within the cluster and elucidate the critical factors governing their initiation, motion, and deposition. The research provides insights into flow-slide dynamics under rainfall conditions, addressing a key gap in hazard assessment methodologies for analogous landslide-prone regions. A multidisciplinary approach was employed combining detailed field surveys and three-dimensional numerical simulations. Field investigations mapped the spatial distribution and geometric characteristics of the four sub-landslides (total volume: 2.46 × 106 m3), while geotechnical analyses identified moisture-induced strength reduction as a primary destabilization factor. The Landslides Post-Failure 3D (LPF3D) simulator was implemented to reconstruct landslide kinematics under two scenarios: natural (pre-rainfall) and rainfall-saturated states. The simulations incorporated soil rheological parameters, hydrological conditions, and terrain data, with particular attention to fluid-solid interactions during motion. Numerical simulations revealed distinct motion patterns between dry and saturated conditions. Continuous rainfall infiltration increased soil saturation by 18-25%, reducing shear strength while enhancing material fluidity. This hydrological transformation generated significant hydrodynamic effects during sliding, with fluid drag forces amplifying mobility rather than providing resistance. Sub-landslide H2-2 exhibited the most hazardous behavior, achieving peak velocity of 32.5 m/s within 70 s and traveling 700 m—42% farther than dry-state simulations predicted. Deposit patterns from all sub-landslides showed >85% spatial consistency with field observations, validating the model's predictive capability. This study demonstrates that rainfall-induced pore pressure development creates dual destabilization effects: reducing shear resistance while enabling fluid-mediated lubrication. The paradoxical role of hydrodynamic forces—enhancing mobility through drag-induced momentum transfer rather than damping—explains the exceptional runout distances observed. The H2-2 sub-landslide’s predominance in damage potential correlates with its unique geometric positioning and hydrological connectivity within the cluster. These findings advance understanding of multi-landslide interaction mechanisms and provide a validated framework for assessing rainfall-triggered landslide cascades. The LPF3D methodology proves particularly effective for hazard zonation in complex terrain, offering critical inputs for early warning systems and mitigation planning in comparable geological settings.https://www.frontiersin.org/articles/10.3389/feart.2025.1551527/fulllandslide clusterlandslide overlay bodyinstability mechanismdynamics analysisLPF3D
spellingShingle Gang Wei
Gang Wei
Zejun Xia
Zejun Xia
Jinkai Yan
Bin Li
Bin Li
Bin Li
Xinning Wu
Xinning Wu
Characteristics of landslide movement and dynamic processes in Hongyacun landslide cluster, Qinghai Province, China
Frontiers in Earth Science
landslide cluster
landslide overlay body
instability mechanism
dynamics analysis
LPF3D
title Characteristics of landslide movement and dynamic processes in Hongyacun landslide cluster, Qinghai Province, China
title_full Characteristics of landslide movement and dynamic processes in Hongyacun landslide cluster, Qinghai Province, China
title_fullStr Characteristics of landslide movement and dynamic processes in Hongyacun landslide cluster, Qinghai Province, China
title_full_unstemmed Characteristics of landslide movement and dynamic processes in Hongyacun landslide cluster, Qinghai Province, China
title_short Characteristics of landslide movement and dynamic processes in Hongyacun landslide cluster, Qinghai Province, China
title_sort characteristics of landslide movement and dynamic processes in hongyacun landslide cluster qinghai province china
topic landslide cluster
landslide overlay body
instability mechanism
dynamics analysis
LPF3D
url https://www.frontiersin.org/articles/10.3389/feart.2025.1551527/full
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