Next Article in Journal
Changes in the Soil Microbiome of Arable Soils in the Permafrost-Affected Zone During Their Transition to a Fallow State
Previous Article in Journal
From Statistical Filtering to Adaptive Reinforcement Learning: A Progressive Framework for IoT Time-Series Anomaly Detection
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Flow-like Movement and Failure Mechanism of Landslides Induced by Concentrated Rear Runoff: Insights from Physical Model Tests

1
Hubei Key Laboratory of Disaster Prevention and Prevention, China Three Gorges University, Yichang 443002, China
2
Second Geological Brigade of Hubei Geological Bureau, Enshi 445099, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2026, 16(11), 5612; https://doi.org/10.3390/app16115612
Submission received: 13 May 2026 / Revised: 1 June 2026 / Accepted: 1 June 2026 / Published: 3 June 2026
(This article belongs to the Section Earth Sciences)

Abstract

Concentrated rear runoff is an important hydraulic factor that promotes slope instability and flow-like transport characteristics in mountainous landslides; however, the deformation–failure process of slopes and their response relationships under different runoff intensities remain unclear. In this study, the Shaziba landslide in Enshi, Hubei Province, China, was selected as the research object. Two-dimensional flume model tests were conducted under four runoff discharge conditions of 7, 15, 27, and 35 mL/s to investigate the effects of runoff intensity on the hydraulic response and failure mode of the slope. The results show that, as the runoff discharge increased from 7 to 35 mL/s, the initial response times of water content, pore water pressure, and earth pressure at the rear edge decreased from 1205, 1488, and 888 s to 160, 248, and 112 s, respectively. Meanwhile, the gully formation time shortened from 6810 to 336 s, and the time of the first evident collapse decreased from 5758 to 650 s. Under low-runoff conditions, slope deformation was dominated by infiltration-induced softening and progressive creep. Under moderate to high runoff conditions, gully incision and gully-wall collapse accelerated slope disintegration, resulting in soil–water mixed transport and enhanced mobility of failed materials. Concentrated rear runoff drives the slope through successive stages of initial deformation, structural disintegration of the slope, flow-like failure, and toe deposition. These findings provide experimental evidence for the identification and prevention of landslides controlled by rear runoff.
Keywords: rear-catchment runoff; landslide; flow-like failure; physical model test; deformation and failure rear-catchment runoff; landslide; flow-like failure; physical model test; deformation and failure

Share and Cite

MDPI and ACS Style

Song, K.; Guo, L.; Fu, Q.; Wen, B. Flow-like Movement and Failure Mechanism of Landslides Induced by Concentrated Rear Runoff: Insights from Physical Model Tests. Appl. Sci. 2026, 16, 5612. https://doi.org/10.3390/app16115612

AMA Style

Song K, Guo L, Fu Q, Wen B. Flow-like Movement and Failure Mechanism of Landslides Induced by Concentrated Rear Runoff: Insights from Physical Model Tests. Applied Sciences. 2026; 16(11):5612. https://doi.org/10.3390/app16115612

Chicago/Turabian Style

Song, Kun, Lei Guo, Qiang Fu, and Bo Wen. 2026. "Flow-like Movement and Failure Mechanism of Landslides Induced by Concentrated Rear Runoff: Insights from Physical Model Tests" Applied Sciences 16, no. 11: 5612. https://doi.org/10.3390/app16115612

APA Style

Song, K., Guo, L., Fu, Q., & Wen, B. (2026). Flow-like Movement and Failure Mechanism of Landslides Induced by Concentrated Rear Runoff: Insights from Physical Model Tests. Applied Sciences, 16(11), 5612. https://doi.org/10.3390/app16115612

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop