Approaches to Water-induced Landslide Hazard Risk Forecasting and Assessment

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

Deadline for manuscript submissions: 20 January 2025 | Viewed by 645

Special Issue Editors


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Guest Editor
Badong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan 430074, China
Interests: landslide monitoring, early warning systems, landslide prevention and control, slip initiation mechanism and criterion, predictive modeling
School of Geosciences, Yangtze University, Wuhan 430100, China
Interests: evolution mechanism of landslide; rock mechanics, numerical analysis; freeze-thaw cycle; rock brittleness; strength prediction
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Guest Editor
School of Civil Engineering and Architecture, Nanchang University, Nanchang 330031, China
Interests: failure mechanism of geological hazards; landslide susceptibility, hazard and risk mapping; machine learning; numerical simulation; remote sensing; geographic information system
Special Issues, Collections and Topics in MDPI journals
Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
Interests: landslides; engineering geology; physical modelling; photogrammetry; structure from motion
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Water-induced landslides, being prevalent geohazards in reservoir areas and areas with high rainfall intensity, hold great theoretical significance and engineering application value, making their identification and mitigation research essential. In recent years, advancing the fundamental theories and practical applications in approaches to water-induced landslide hazard risk forecasting and assessment has become crucial. Investigating and monitoring water-induced landslides emphasizes early identification, stability evaluation, prediction, and prevention of these hazards. Stability and risk assessments focus on identifying and mitigating the risks associated with potential water-induced landslides, providing essential information for planning and emergency response.

Therefore, this Special Issue aims to present original research and review articles that present innovative approaches for analyzing stability, predicting failure mechanisms, designing effective stabilization measures, and assessing risks of water-induced landslides. We particularly encourage researchers and practitioners to share their knowledge, experiences, and research outcomes related to water-inducedwater-induced landslide forecasting, assessment, and early warning.

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

  • Multi-source remote sensing for water-induced landslide identification
  • Laboratory testing methods on soil and rock behaviors related to water-induced landslide
  • Advances in sensors and monitoring techniques for water-induced landslides
  • Water-induced landslide susceptibility mapping
  • Analytical, physical, and numerical techniques in water-induced landslide stability assessment
  • Physical model testing and numerical simulation of water-induced landslides
  • Water-induced landslide evolution mechanisms
  • Artificial intelligence applications in water-induced landslide hazard risk
  • Development of new early warning criteria for water-induced landslides
  • Comprehensive risk assessment and hazard evaluation of water-induced landslides
  • Digital twin-driven water-induced landslide disaster

We look forward to receiving your contributions.

Dr. Junrong Zhang
Dr. Tao Wen
Dr. Faming Huang
Dr. Kun Fang
Guest Editors

Manuscript Submission Information

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Keywords

  • remote sensing
  • geomechanics
  • physical modelling
  • numerical modelling
  • slope stability
  • landslide susceptibility mapping
  • displacement prediction
  • landslide mitigation
  • artificial intelligence

Published Papers (1 paper)

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Research

13 pages, 4023 KiB  
Article
Analyzing the Diversion Effect of Debris Flow in Cross Channels Utilizing Two-Phase Flow Theory and the Principle of Energy Conservation
by Xingshuo Xu, Chang Zhou, Yansi Tan, Debin Chen, Jing Fu, Chen Chai and Longfei Liang
Water 2024, 16(15), 2134; https://doi.org/10.3390/w16152134 - 27 Jul 2024
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Abstract
The movement process of debris flow in the complex roads system is important for risk evaluation and emergency rescue. This paper presents an in-depth study of the diversion effect of debris flow in cross channels, a common branching structure in both natural and [...] Read more.
The movement process of debris flow in the complex roads system is important for risk evaluation and emergency rescue. This paper presents an in-depth study of the diversion effect of debris flow in cross channels, a common branching structure in both natural and engineered environments, especially in the field of urban debris flow prevention. A mathematical model is established based on the conservation of mass, momentum, and energy, and a solid–liquid two-phase motion equation for debris flow is derived from two-phase flow theory. A numerical solution method, combining the finite difference method and finite volume method, is employed to discretize and solve the equation. The model’s validity and effectiveness are confirmed through a numerical simulation of a typical engineering case and comparison with existing experimental data or theoretical results. This study reveals that debris flow at cross channels exhibits a diversion phenomenon, with some debris flow continuing downstream along the main channel and some diverting into the branch channel. The diversion rate, defined as the ratio of outlet flow to inlet flow of the branch channel, indicates the magnitude of this effect. This research shows that the solid–liquid ratio, inflow, width ratio, height ratio, and angle of the cross channel significantly impact the diversion effect. A series of numerical simulations are conducted by altering these parameters as well as the physical properties of debris flow and boundary conditions. These simulations analyze changes in flow rate, velocity, pressure, and other parameters of debris flow at cross channels, providing insights into the factors and mechanisms influencing the diversion effect. This research offers a robust instrument for comprehending and forecasting the dynamics of urban debris flows. It contributes significantly to mitigating the effects of debris flows on city infrastructure and enhancing the safety of city dwellers. Full article
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