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Water
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Slope Stability Analyses and Risk Assessment for Rainfall-Induced Landslides
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Slope Stability Analyses and Risk Assessment for Rainfall-Induced Landslides

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Erosion and Sediment Transport".

Deadline for manuscript submissions: 20 June 2025 | Viewed by 914

Special Issue Editors

Dr. Qihang Li

E-Mail Website
Guest Editor
State Key Laboratory of Coal Mine Disasters Dynamics and Control, Chongqing University, Chongqing 400044, China
Interests: landslides; slope stability; numerical models; similar physical experiments; machine learning; energy analysis; image recognition
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Xiaoshuang Li

E-Mail Website
Guest Editor
School of Urban Construction, Changzhou University, Changzhou 213164, China
Interests: landslides; rock mechanics; open-pit to underground mining; numerical analysis; physical modelling; mechanical theory; rainfall-mining coupling
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jiang Song

E-Mail Website
Guest Editor
School of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
Interests: landslides; rock mechanics; machine learning; computer vision algorithm; physical modelling; artificial intelligence; metal mine; slope stability; risk assessment

Special Issue Information

Dear Colleagues,

Rainfall-induced landslides are common geological disasters worldwide, often posing a significant threat to mining safety and slope stability. The accurate and effective monitoring, early warning, and prevention of such disasters are currently of the utmost importance. In recent years, similar physical model experiments, numerical simulations (FEM, DEM), machine learning techniques (CNN, ANN, SVM, etc.), and computer vision algorithms (IRGSM, SLIC, K-means, etc.) have been applied to various scenarios such as mines, tailings ponds, dams, and highway slopes in order to advance the development of relevant theories and advanced technologies for rainfall-induced landslides. Herein, the key point of slope stability analysis and landslide risk assessment lie in accurately predicting or reducing landslide risks caused by heavy rainfall and providing necessary information in conjunction with reasonable rules, regulations, and emergency measures.

Therefore, the purpose of this Special Issue is to provide original research and review articles on the study of complex failure mechanisms associated with rainfall-induced landslides, the formulation of reasonable and effective measures for risk mitigation, as well as advanced theoretical and technical analysis of slope stability. In particular, we encourage researchers and engineers to share their advanced research on the monitoring, assessing, early warning, and evacuation of rainfall-induced landslides.

Potential topics include, but are not limited to, the following:

  • Monitoring and identification technologies for areas prone to rainfall-induced landslides.
  • Laboratory testing methods for geotechnical properties associated with rainfall-induced landslides.
  • Stability analysis and evaluation of mine slopes under heavy rainfall.
  • Numerical simulation of mine slope stability under multi-field coupling, regarding rainwater and other factors.
  • Advanced computer vision algorithms related to rainfall-induced landslides.
  • Machine learning algorithm for predicting rainfall-induced landslide disasters.
  • Investigation and theoretical analysis of the failure mechanism of rainfall-induced landslides.
  • Comprehensive assessment of risks and hazards associated with rainfall-induced landslides.
  • Policies and measures to mitigate landslide hazards caused by rainfall.
  • Methods and feasibility analysis for personnel evacuation after rainfall-induced landslide disasters.

Dr. Qihang Li
Prof. Dr. Xiaoshuang Li
Prof. Dr. Jiang Song
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • landslides
  • rainfall infiltration
  • slope stability
  • physical model experiment
  • numerical modelling
  • machine learning
  • advanced algorithms
  • failure mechanism
  • mitigation measures
  • monitoring and early warning

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Published Papers (2 papers)

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21 pages, 33528 KiB  
Article
Simulating the Failure Mechanism of High-Slope Angles Under Rainfall-Mining Coupling Using MatDEM
by Qihang Li, Yunmin Wang, Di Hou, Song Jiang, Bin Gong and Xiaoshuang Li
Water 2025, 17(3), 414; https://doi.org/10.3390/w17030414 - 2 Feb 2025
Viewed by 258
Abstract
The safety production of gold, silver, copper, and other important metals is seriously threatened in the process of mining from open-pit to underground due to various factors such as infiltration caused by rainfall and unloading during mining. Furthermore, the current situation of open-pit [...] Read more.
The safety production of gold, silver, copper, and other important metals is seriously threatened in the process of mining from open-pit to underground due to various factors such as infiltration caused by rainfall and unloading during mining. Furthermore, the current situation of open-pit mining in an increasing number of mines presents a high and steep terrain, which poses significant security risks. Accordingly, it is of great practical significance to investigate the failure mechanism of high-slope angles to ensure the long-term safe mining of mines, considering factors such as rainfall infiltration and excavation unloading. In this study, the slope failure of high-slope angles (45°, 55°, and 65°) under rainfall-mining coupling was analyzed using the discrete element MatDEM numerical simulation software. Herein, the stress distribution, failure characteristics, and energy conversion of the model were simulated under different slope angles to analyze the failure mechanism at each stage. The simulation results show that the damage scale is smallest at 55° and largest at 65°. This indicates that setting the slope angle to 55° can reduce the risk of slope instability. Moreover, the reduction of elastic potential energy during the mine room mining stage is similar to that of mechanical energy. During the pillar mining stage, stress is concentrated in each goaf, resulting in a greater reduction in mechanical energy compared to elastic potential energy. Finally, after the completion of the continuous pillar mining stage, stress becomes concentrated in the failure area, and the effect of the slope angle on mechanical energy reduction becomes evident after the complete collapse of the model. Full article
(This article belongs to the Special Issue Slope Stability Analyses and Risk Assessment for Rainfall-Induced Landslides)
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19 pages, 14029 KiB  
Article
Study on the Destabilisation Pattern and Volumetric Water Content Evolution Characteristics of Underground Mining Rock Formations Under Heavy Rainfall Conditions
by Xiang Lan, Yunmin Wang, Xiaojun Wang and Jiabo Geng
Water 2025, 17(2), 136; https://doi.org/10.3390/w17020136 - 7 Jan 2025
Viewed by 371
Abstract
In order to study the stability of rock layers and the change in volumetric water content at different stages of mining under an environment of heavy rainfall, a self-developed large-scale open-pit-to-underground-mining similar physical model was used, and the intensity of continuous rainfall was [...] Read more.
In order to study the stability of rock layers and the change in volumetric water content at different stages of mining under an environment of heavy rainfall, a self-developed large-scale open-pit-to-underground-mining similar physical model was used, and the intensity of continuous rainfall was set at 40 mm/h. The results of this study show that fissures accelerated the instability of rock strata, and when spreading to different rock strata, they were prone to form subsidence cracks and produce collapse zones. The volumetric water content is closely related to the stability of the rock formation. An ‘arch-shaped collapse zone’ was formed in an interval of (0.9~1.8 m), and a convex spreading zone of volumetric water content was formed in an interval of (1.2~1.6 m). The infiltration line shows different diffusion patterns in different mining stages. In the early stage of mining, the volumetric water content infiltration line is roughly parallel to the slope; in the middle stage of mining, the infiltration line diffuses parallel to the two ends of the interface with the slope and diffuses convexly in the middle; in the late stage of mining, the infiltration line shows a pattern of rapid diffusion in the lower area, rapid diffusion in the middle area, and slow diffusion in the middle area. Therefore, in the process of the mining stage, it is necessary to focus on mining area fissure changes and monitor the point water content for sudden changes and other indicators. This study has certain guiding significance for safe production. Full article
(This article belongs to the Special Issue Slope Stability Analyses and Risk Assessment for Rainfall-Induced Landslides)
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