Approaches to Water-Induced Landslide Hazard Risk Forecasting and Assessment, 2nd Edition
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrogeology".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 190
Special Issue Editors
Interests: landslide monitoring; early warning systems; landslide prevention and control; slip initiation mechanism and criterion; predictive modeling
Special Issues, Collections and Topics in MDPI journals
Interests: evolution mechanism of landslide; rock mechanics, numerical analysis; freeze-thaw cycle; rock brittleness; strength prediction
Special Issues, Collections and Topics in MDPI journals
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
Interests: landslides; engineering geology; physical modelling; photogrammetry; smart monitoring
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Water-induced landslides remain one of the most destructive geohazards globally, posing severe threats to infrastructure safety, ecological environments, and human lives in reservoir areas, high-rainfall regions, coastal zones, and permafrost areas. With the escalating impacts of climate change and large-scale engineering activities, the occurrence mechanisms, spatial-temporal patterns, and hazard chains of water-induced landslides have become increasingly complex. Consequently, advancing the fundamental theories, innovative technologies, and integrated applications in water-induced landslide hazard risk forecasting and assessment is of paramount importance for geohazard mitigation, regional disaster resilience, and sustainable development.
Following the success of the first edition, this 2nd Edition Special Issue aims to further expand the research scope, integrate cutting-edge interdisciplinary perspectives, and showcase the latest progress in addressing the challenges of water-induced landslide hazard risk management. We seek to gather original research articles, comprehensive review papers, and case studies that explore novel methodologies, multi-scale monitoring technologies, mechanism-driven simulation, and intelligent assessment frameworks for water-induced landslides.
We particularly welcome researchers, engineers, and practitioners from diverse fields to share their innovative findings, practical experiences, and future perspectives on water-induced landslide forecasting, assessment, early warning, and mitigation. Potential topics include, but are not limited to, the following:
- Multi-source remote sensing for water-induced landslide identification and spatiotemporal evolution monitoring
- Geomechanical behaviors of soil/rock masses under coupled hydro-mechanical-chemical (HMC) effects
- Advanced sensor technologies and real-time monitoring systems for water-induced landslides
- Water-induced landslide susceptibility, hazard, and risk mapping at multi-scales
- Analytical, physical, and numerical modeling of water-induced landslide stability and failure mechanisms
- Cross-scale physical model testing and validation for water-induced landslides
- Evolution mechanisms of water-induced landslide hazard chains
- Artificial intelligence (AI) and machine learning applications in landslide displacement prediction, risk assessment, and intelligent early warning
- Development and optimization of early warning criteria and threshold values for water-induced landslides under complex scenarios
- Comprehensive risk assessment integrating social-economic vulnerability and ecological impacts of water-induced landslides
- Digital twin, BIM, and GIS-based intelligent management platforms for water-induced landslide disasters
- Sustainable mitigation and remediation technologies for water-induced landslides
- Climate change impacts on water-induced landslide frequency and intensity, and adaptive risk management strategies
Dr. Junrong Zhang
Dr. Tao Wen
Dr. Faming Huang
Dr. Kun Fang
Guest Editors
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Keywords
- remote sensing
- geomechanics
- physical modelling
- numerical modelling
- slope stability
- landslide susceptibility mapping
- displacement prediction
- landslide mitigation
- artificial intelligence
- hydro-mechanical coupling
- disaster risk assessment
- digital twin
- climate change adaptation
- IoT-based monitoring
- hazard chain
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