Progress in Landslide Research and Technology, Volume 3 Issue 1, 2024
This open access book provides an overview of the progress in landslide research and technology and is part of a book series of the International Consortium on Landslides (ICL). It gives an overview of recent progress in landslide research and technology for practical applications and the benefit fo...
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| Otros Autores: | , , , , , , , , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer Nature Switzerland
2024.
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| Edición: | 1st ed. 2024. |
| Colección: | Progress in Landslide Research and Technology,
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009834836306719 |
Tabla de Contenidos:
- The Third-year publication of the Open Access Book Series “Progress in Landslide Research and Technology”
- Part I: ICL Landslide Lesson
- Interpretation and mapping for the prediction of sites at risk of landslide disasters: from aerial photography to detection by DTMs
- Part II: Original Articles
- Observation of seismic ground motion and pore water pressure in lineated valley fill of Wakayama, southwest Japan
- Global warming may accelerate submarine landslides in the oceans -Possible disaster chain reactions
- Landslide hazard evaluation of a large waste landfill in Bogotá city
- Multiple Landslides in an Area Draped in Volcanic Matters: The Dual Impacts of Rains and Earthquakes
- Loess Landslides - Peculiarities of Deformation Mechanism
- Spatio-temporal distribution of rainfall-induced landslides in Nicaragua (2000-2022): Preliminary insights to communicate landslide disaster risk
- Emerging Seismicity Trends Linked to Catastrophic Landslides Behavior in Sri Lanka
- Centrifugemodeling of slopes subjected to groundwater flow and rainfall infiltration
- Evaluation of Assessment Models for Landslide Susceptibility Mapping in Permafrost Areas
- The slope monitoring using embedded system with optical-thermal image fusion and machine learning
- Sendai Framework Voluntary Commitments: Monitoring Landslide Stakeholders' Contributions
- Influence of intra-particle saturation ratio on strength degradation of pumice soil
- Regional debris flow hazard assessment of the Grdelica Gorge (Serbia)
- Introducing Japanese Landslide Warning and Evacuation System to Sri Lanka: Field Survey of Social Aspect in the Arayanake Area
- Towards An Optimization of Foundation Anchors of Landslide-resisting Flexible Barriers: Dynamic Pullout Resistance of Anchors
- Part III: Review Articles
- Global Promotion of Understanding and Reducing Landslide Disaster Risk: Two years on P-LRT
- Landslide prediction model based upon intelligent processing of multi‐point monitoring information: A review
- Mud-mark-based Estimations of Mass-wasting Processes Caused by the 2008 Iwate-Miyagi Nairiku Earthquake, Japan
- Assessment of the Structural Geological, Hydrogeological, and Geomorphological Relationships of the Athwelthota Landslide, Sri Lanka
- Part IV: IPL Projects, World Centres of Excellence on Landslide Risk Reduction, and Kyoto Landslide Commitment 2020
- Increasing the local road network resilience from natural hazards in municipalities in Serbia
- Recent UL FGG contributions to the 2020 Kyoto Commitment
- The integrated Landslides Monitoring System of Gimigliano Municipality, Southern Italy
- Part V: Technical Notes and Case sturdies
- Assessing landslide distribution for landform hazard zoning purposes: A case study on the western flank of Iztaccíhuatl volcano, Puebla, México
- Identification of potential natural slope failure zones by geomorphological analyses using raster slope shading of LiDAR; case study from Kegalle, Sri Lanka
- Assessing the potential rapidand long travelling landslides in Sri Lanka – A case study of Athwelthota landslide
- Experimental Study on Residual Shear Strength of Soil Using Undrained Ring Shear Apparatus
- Part VI: World Landslide Reports
- Physical mechanism and numerical simulation of landslide dam formation
- An integration of the Fractal method and the Statistical Index method for mapping landslide susceptibility.
