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Geotechnics and Geostructures Modelling for Hydrodynamic-Driven Landslides: Prediction and Control
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Geotechnics and Geostructures Modelling for Hydrodynamic-Driven Landslides: Prediction and Control

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

Deadline for manuscript submissions: 30 December 2025 | Viewed by 747

Special Issue Editors

Dr. Qinwen Tan

E-Mail Website
Guest Editor
Badong National Observation and Research Station of Geohazards (BNORSG), China University of Geosciences, Wuhan, 43007, China
Interests: slope engineering; rock and soil deformation and control; refined modeling; dynamic load simulation and stability; large-scale in situ testing
Special Issues, Collections and Topics in MDPI journals
Dr. Kun Fang

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong 999077, China
Interests: landslides; engineering geology; physical modelling; photogrammetry; smart monitoring
Special Issues, Collections and Topics in MDPI journals
Dr. Tao Wen

E-Mail Website
Guest Editor
School of Geosciences, Yangtze University, Wuhan 430100, China
Interests: evolution mechanism of landslide; rock mechanics, numerical analysis; freeze-thaw cycle; rock brittleness; strength prediction
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Hydrodynamic-driven landslides, induced by seepage forces from rainfall or reservoir water level fluctuations, have emerged as a prominent area of geohazard research. The function of water within the landslide mass is highly significant. Consequently, attaining high-precision predictions and the efficient control of landslides necessitates an extensive knowledge of water within the landslide. For this purpose, this Special Issue provides a platform for the publication of advancements focused on numerical simulation, mechanical analysis, and constitutive development related to hydrodynamic-driven landslide processes. Meanwhile, we welcome the use of advanced monitoring technologies and artificial intelligence methods to conduct research on the prediction and prevention of hydrodynamic-driven landslides.

We anticipate that this Special Issue will encompass a diverse and high-quality collection of articles that can contribute to the knowledge and scientific progress in this field. By sharing innovative research and methodologies, we aim to enhance the understanding of hydrodynamic-driven landslides and improve the effectiveness of landslide risk management strategies.

Dr. Qinwen Tan
Dr. Kun Fang
Dr. Tao Wen
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

  • hydraulic process
  • landslide evolution
  • slope stability
  • geostructures modelling
  • seepage force
  • landslide mitigation and control
  • geotechnics
  • machine learning

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Published Papers (2 papers)

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Research

19 pages, 8589 KiB  
Article
Study on the Deformation Mechanism of Shallow Soil Landslides Under the Coupled Effects of Crack Development, Road Loading, and Rainfall
by Peiyan Fei, Qinglin Yi, Maolin Deng, Biao Wang, Yuhang Song and Longchuan Liu
Water 2025, 17(8), 1196; https://doi.org/10.3390/w17081196 - 16 Apr 2025
Viewed by 246
Abstract
This study investigated the deformation characteristics and mechanisms of the Baiyansizu landslide under the coupled effects of crack development, rainfall infiltration, and road loading. Numerical simulations were performed using GeoStudio software (Version 2018; Seequent, 2018) to analyze geological factors and external disturbances affecting [...] Read more.
This study investigated the deformation characteristics and mechanisms of the Baiyansizu landslide under the coupled effects of crack development, rainfall infiltration, and road loading. Numerical simulations were performed using GeoStudio software (Version 2018; Seequent, 2018) to analyze geological factors and external disturbances affecting landslide deformation and seepage dynamics. Four additional landslides (Tanjiawan, Bazimen, Tudiling, and Chengnan) were selected as comparative cases to investigate differences in deformation characteristics and mechanisms across these cases. The results demonstrate that rear-edge deformation of the Baiyansizu landslide was predominantly governed by rainfall patterns, with effective rainfall exhibiting a dual regulatory mechanism: long-term rainfall reduced shear strength through sustained infiltration-induced progressive creep, whereas short-term rainstorms generated step-like deformation via transient pore water pressure amplification. GeoStudio simulations further revealed multi-physics coupling mechanisms and nonlinear stability evolution controls. These findings highlight that rear-edge fissures substantially amplify rainfall infiltration efficiency, thereby establishing these features as the predominant deformation determinant. Road loading was observed to accelerate shallow landslide deformation, with stability coefficient threshold values triggering accelerated creep phases when thresholds were exceeded. Through comparative analysis of five typical landslide cases, it was demonstrated that interactions between geological factors and external disturbances resulted in distinct deformation characteristics and mechanisms. Variations in landslide thickness, crack evolution, road loading magnitudes, and rainfall infiltration characteristics were identified as critical factors influencing deformation patterns. This research provides significant empirical insights and theoretical frameworks for landslide monitoring and early warning system development. Full article
(This article belongs to the Special Issue Geotechnics and Geostructures Modelling for Hydrodynamic-Driven Landslides: Prediction and Control)
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16 pages, 10508 KiB  
Communication
Experimental Investigation on the Influence of Different Reservoir Water Levels on Landslide-Induced Impulsive Waves
by Anchi Shi, Jie Lei, Lei Tian, Changhao Lyu and Pengchao Mao
Water 2025, 17(6), 890; https://doi.org/10.3390/w17060890 - 19 Mar 2025
Viewed by 240
Abstract
Since the impoundment of the Baihetan Reservoir, water-involved landslides have become widespread. Existing studies on landslide-generated waves have rarely examined the impact of varying water levels on wave characteristics. This paper focuses on the Wangjiashan (WJS) landslide in the Baihetan Reservoir area of [...] Read more.
Since the impoundment of the Baihetan Reservoir, water-involved landslides have become widespread. Existing studies on landslide-generated waves have rarely examined the impact of varying water levels on wave characteristics. This paper focuses on the Wangjiashan (WJS) landslide in the Baihetan Reservoir area of China, conducting geomechanical experiments to investigate the spatiotemporal evolution of landslide-generated waves under different water level conditions. Utilizing a self-developed experimental measurement system, this study accurately records key parameters during the generation, propagation, and run-up of landslide-generated waves. It captures the complete sliding process of the WJS landslide under various water level conditions and elucidates the spatiotemporal distribution patterns of waves throughout their entire lifecycle, from generation through propagation to run-up. The research results indicate that water level factors significantly influence key parameters such as initial wave height, run-up on the opposite bank, propagation characteristics along the course, and maximum run-up in the Xiangbiling residential area. Generally, wave height initially increases and then decreases as the water level drops. Furthermore, this study offers crucial experimental data to deepen the understanding of the physical mechanisms of landslide-generated waves, advancing landslide disaster early warning technologies and enhancing the scientific accuracy and precision of landslide risk management. Full article
(This article belongs to the Special Issue Geotechnics and Geostructures Modelling for Hydrodynamic-Driven Landslides: Prediction and Control)
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