Landslide Analysis And Early Warning Systems
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Landslide Analysis And Early Warning Systems
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Author : Benni Thiebes
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-21
Landslide Analysis And Early Warning Systems written by Benni Thiebes and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-21 with Nature categories.
Recent landslide events demonstrate the need to improve landslide forecasting and early warning capabilities in order to reduce related risks and protect human lives. In this thesis, local and regional investigations were carried out to analyse landslide characteristics in the Swabian Alb region, and to develop prototypic landslide early warning systems. In the local study area, an extensive hydrological and slope movement monitoring system was installed on a seasonally reactivated landslide body located in Lichtenstein- Unterhausen. Monitoring data was analysed to assess the influence of rainfall and snow-melt on groundwater conditions, and the initiation of slope movements. The coupled hydrology-slope stability model CHASM was applied to detect areas most prone to slope failures, and to simulate slope stability using a variety of input data. Subsequently, CHASM was refined and two web-based applications were developed: a technical early warning system to constantly simulate slope stability integrating rainfall measurements, hydrological monitoring data and weather forecasts; and a decision-support system allowing for quick calculation of stability for freely selectable slope profiles. On the regional scale, available landslide inventory data were analysed for their use in evaluation of rainfall thresholds proposed in other studies. Adequate landslide events were selected and their triggering rainfall and snow-melting conditions were compared to intensity-duration and cumulative thresholds. Based on the results, a regional landslide early warning system was developed and implemented as a webbased application. Both, the local and the regional landslide early warning systems are part of a holistic and integrative early warning chain developed by the ILEWS project, and could easily be transferred to other landslide prone areas.
Rock Landslide Risk Assessment Stability Analysis And Monitoring For The Development Of Early Warning Systems And Reinforcement Measures
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Author : Mowen Xie
language : en
Publisher: Frontiers Media SA
Release Date : 2023-06-29
Rock Landslide Risk Assessment Stability Analysis And Monitoring For The Development Of Early Warning Systems And Reinforcement Measures written by Mowen Xie and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-29 with Science categories.
Predictive Models For The Development Of Landslide Early Warning Systems
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Author : Biswajeet Pradhan
language : en
Publisher: Elsevier
Release Date : 2023-10-01
Predictive Models For The Development Of Landslide Early Warning Systems written by Biswajeet Pradhan and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-01 with Science categories.
Predictive Models for the Development of Landslide Early Warning Systems details advanced techniques in implementing landslide early warning systems (LEWS). It provides a comprehensive resource for practitioners including different techniques and models in landslide early warning, their practical applications, and case studies. The modelling theory is provided in a detailed but succinct format, verified with on-site models for specific regions and scenarios for different types of landslides and triggering factors. The book covers four main topics required for an efficient LEWS: monitoring, including data acquisition, transmission and maintenance of the instruments; analysis and forecasting, including forecasting methods; warning/dissemination of understandable messages alerting for the impending threat; and response. The exportability of different models is discussed in detail and followed by practical demonstrations for expert researchers' as well as postgraduates' needs. Predictive Models for the Development of Landslide Early Warning Systems offers in-depth, up-to-date best practices for implementing LEWS, based on current effective systems, new technologies, and standard methodologies at global level. This allows readers to understand universal LEWS methodologies and applications for use in their own research and development, including the use of current practical Big Data techniques.
Landslide Science And Practice
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Author : Claudio Margottini
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-08-04
Landslide Science And Practice written by Claudio Margottini and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-04 with Nature categories.
This book contains peer-reviewed papers from the Second World Landslide Forum, organised by the International Consortium on Landslides (ICL), that took place in September 2011. The entire material from the conference has been split into seven volumes, this one is the second: 1. Landslide Inventory and Susceptibility and Hazard Zoning, 2. Early Warning, Instrumentation and Monitoring, 3. Spatial Analysis and Modelling, 4. Global Environmental Change, 5. Complex Environment, 6. Risk Assessment, Management and Mitigation, 7. Social and Economic Impact and Policies.
Understanding And Reducing Landslide Disaster Risk
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Author : Nicola Casagli
language : en
Publisher: Springer Nature
Release Date : 2020-12-21
Understanding And Reducing Landslide Disaster Risk written by Nicola Casagli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-21 with Nature categories.
This book is a part of ICL new book series “ICL Contribution to Landslide Disaster Risk Reduction” founded in 2019. Peer-reviewed papers submitted to the Fifth World Landslide Forum were published in six volumes of this book series. This book contains the followings: • One theme lecture and one keynote lecture• Monitoring and remote sensing for landslide risk mitigation, including one keynote lecture• Landslide early warning systems, forecasting models and time prediction of landslides Prof. Nicola Casagli is a Vice President and President-elect of the International Consortium on Landslides (ICL) for 2021–2023. He is Professor of engineering geology at the Department of Earth Sciences, University of Florence, and President of the National Institute of Oceanography and Applied Geophysics – OGS, Trieste, Italy. Dr. Veronica Tofani is an Associate Professor at the Department of Earth Sciences, University of Florence, and Program Coordinator of the UNESCO Chair on Prevention and Sustainable Management of Geo-hydrological hazards, University of Florence. Prof. Kyoji Sassa is the Founding President and the Secretary-General of the International Consortium on Landslides (ICL). He has been the Editor-in-Chief of International Journal Landslides since its foundation in 2004. Prof. Peter Bobrowsky is the President of the International Consortium on Landslides. He is a Senior Scientist of Geological Survey of Canada, Ottawa, Canada. Prof. Kaoru Takara is the Executive Director of the International Consortium on Landslides. He is a Professor and Dean of Graduate School of Advanced Integrated Studies (GSAIS) in Human Survivability (Shishu-Kan), Kyoto University.
Rainfall Thresholds And Other Approaches For Landslide Prediction And Early Warning
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Author : Samuele Segoni
language : en
Publisher: MDPI
Release Date : 2021-06-22
Rainfall Thresholds And Other Approaches For Landslide Prediction And Early Warning written by Samuele Segoni and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-22 with Science categories.
Landslides are destructive processes causing casualties and damage worldwide. The majority of the landslides are triggered by intense and/or prolonged rainfall. Therefore, the prediction of the occurrence of rainfall-induced landslides is an important scientific and social issue. To mitigate the risk posed by rainfall-induced landslides, landslide early warning systems (LEWS) can be built and applied at different scales as effective non-structural mitigation measures. Usually, the core of a LEWS is constituted of a mathematical model that predicts landslide occurrence in the monitored areas. In recent decades, rainfall thresholds have become a widespread and well established technique for the prediction of rainfall-induced landslides, and for the setting up of prototype or operational LEWS. A rainfall threshold expresses, with a mathematic law, the rainfall amount that, when reached or exceeded, is likely to trigger one or more landslides. Rainfall thresholds can be defined with relatively few parameters and are very straightforward to operate, because their application within LEWS is usually based only on the comparison of monitored and/or forecasted rainfall. This Special Issue collects contributions on the recent research advances or well-documented applications of rainfall thresholds, as well as other innovative methods for landslide prediction and early warning. Contributions regarding the description of a LEWS or single components of LEWS (e.g., monitoring approaches, forecasting models, communication strategies, and emergency management) are also welcome. We encourage, in particular, the submission of contributions concerning the definition and validation of rainfall thresholds, and their operative implementation in LEWS. Other approaches for the forecasting of landslides are also of interest, such as physically based modelling, hazard mapping, and the monitoring of hydrologic and geotechnical indicators, especially when described in the framework of an operational or prototype early warning system.
The Development Of A Site Specific Early Warning System For Rainfall Induced Landslides
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Author : Samuel James Harris
language : en
Publisher:
Release Date : 2013
The Development Of A Site Specific Early Warning System For Rainfall Induced Landslides written by Samuel James Harris and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Landslides categories.
This thesis describes the development of a site specific early warning system for rainfall induced landslides. In New Zealand alone, rainfall induced landslides cause millions of dollars' worth of damage annually. Worldwide the toll is much greater, with thousands of fatalities and billions of dollars' worth of damage annually. The early warning system developed in this research is a means to mitigate the risk of such landslides. This thesis describes the underlying theory, the methodology used and results of the development of this early warning system. The early warning system is site specific, and based on the assumed failure mechanism of a slope subject to rainfall events of variable magnitude and intensity including prolonged events. The selected site, which the prototype of this early warning system was developed for, is located in Silverdale, New Zealand. A slope was formed at the site by a previous road cut operation to form State Highway One, which lies at the toe of the slope. A landslide occurred at the site in the winter of 2008 following a period of prolonged rainfall. The soil at the site consists of residual soil weathered from the Northland Allochthon formation. Previous research and experience within this soil group suggests it is particularly susceptible to rainfall induced landslides. A variety of laboratory tests were undertaken in this research to better understand the shear strength characteristics of the soil. The results obtained from consolidated drained and constant shear stress drained triaxial tests indicate that this soil may exhibit different shear strength parameters depending on the stress path associated with failure. Many site specific early warning systems have been developed in the literature, however they are usually based on explicitly stating a level which a measured parameter (pore-pressure for instance) must reach before a warning is given. The aim of this research was to develop an early warning system which alerts the user (a) to decrease of the factor of safety to a level defining overall failure or landslide occurrence and (b) the time-frame in which this failure may happen. For the purpose of this research, a factor of safety of one is defined as overall failure. This early warning system utilises field monitoring to determine the factor of safety of the slope against slope failure. Two sites are referred to throughout this thesis. One is the landsite site; the location of the 2008 landslide event. The other is the monitored site. Volumetric water content sensors were installed at various depths and locations along the same cross section of the site, approximately 40m away from the 2008 landslide site. A tipping bucket rain-gauge was used to monitor rainfall events. The rainfall record captured at the site was input into a finite element model (SEEP/W) to replicate the fluctuating water content observed at the monitored site. Once a good agreement was obtained, the matric suction/pore-water pressure profile was coupled with a limit equilibrium analyses (SLOPE/W). Thus, the factor of safety at each time step of the finite element model was obtained. An artificial neural network was trained to predict this factor of safety, using the corresponding readings of the volumetric sensors at the site as inputs. Next, the rate of change of this factor of safety (change of factor of safety with respect to time during a rainfall event) was used to estimate the time until failure. Finally, another artificial neural network was trained to predict the factor of safety at the site in the future, using rainfall forecasts for the site. The user of the early warning system can then use these predictions of the time until failure as a basis for taking any necessary action. For the given monitored site, it is recommended that if failure is predicted to occur within 5 hours, then the warning should consist of lowering speed limits. If failure is predicted to occur within 1 hour, than the warning should consist of diverting traffic to avoid the landslide site. The finite element model was reasonably successful at replicating the observed water content fluctuations in the field. A factor of safety of one was obtained for the 2008 landslide site, using the rainfall record leading up to the landslide failure (using the stratigraphy at the location of the 2008 landslide), verifying the modelling process. The artificial neural network could predict the factor of safety of the monitored site to a reasonable level, using the field monitoring data and rainfall forecasts as inputs, which can form the basis of an early warning system as a means to mitigate the risk of rainfall induced landslides.
Landslides Detection Prediction And Monitoring
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Author : P. Thambidurai
language : en
Publisher: Springer Nature
Release Date : 2023-03-02
Landslides Detection Prediction And Monitoring written by P. Thambidurai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-02 with Science categories.
This book intends to decipher the knowledge in the advancement of understanding, detecting, predicting, and monitoring landslides. The number of massive landslides and the damages they cause has increased across the globe in recent times. It is one of the most devastating natural hazards that cause widespread damage to habitat on a local, regional, and global scale. International experts provide their experience in landslide research and practice to help stakeholders mitigate and predict potential landslides. The book comprises chapters on: Dynamics, mechanisms, and processes of landslides; Geological, geotechnical, hydrological, and geophysical modelling for landslides; Mapping and assessment of hazard, vulnerability, and risk associated with landslides; Monitoring and early warning of landslides; Application of remote sensing and GIS techniques in monitoring and assessment of landslides. The book will be of interest to researchers, practitioners, and decision-makers in adapting suitable modern techniques for landslide study.
Early Warning Of Landslide Hazard By Integrating Spatial Statistical Analysis Methods To Calculate The Landslide Susceptibility Index In The Chen Yu Lan River Watershed Taiwan
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Author : 阮氏素銀
language : en
Publisher:
Release Date : 2019
Early Warning Of Landslide Hazard By Integrating Spatial Statistical Analysis Methods To Calculate The Landslide Susceptibility Index In The Chen Yu Lan River Watershed Taiwan written by 阮氏素銀 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Gis In Landslide Risk Management
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Author : Dr Aran Castro A J
language : en
Publisher: Dr Aran Castro
Release Date : 2024-08-05
Gis In Landslide Risk Management written by Dr Aran Castro A J and has been published by Dr Aran Castro this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-05 with Science categories.
Explore GIS in Landslide Risk Management: Tools and Techniques, a practical guide that shows how modern technology can help us understand and manage landslides. Written by Dr. Aran Castro A J, an expert in the field, this book covers everything from the basics of Geographic Information Systems (GIS) to advanced tools for tracking and predicting landslides. Learn how GIS can be used to map and analyze areas at risk, use satellite images and other data to monitor changes, and prepare for potential disasters. The book also includes real-life examples and case studies, making complex ideas easy to understand. GIS in Landslide Risk Management is perfect for anyone interested in using technology to tackle natural disasters, whether you're a student, professional, or just curious about the topic. It also discusses the importance of community involvement and good policies in making our responses to landslides more effective. This book is a valuable resource for those looking to make informed decisions and improve safety in landslide-prone areas.