Understanding and Reducing Landslide Disaster Risk
Volume 3 Monitoring and Early Warning
(Sprache: Englisch)
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...
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Klappentext zu „Understanding and Reducing Landslide Disaster Risk “
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.
Inhaltsverzeichnis zu „Understanding and Reducing Landslide Disaster Risk “
Monitoring and remote sensing for landslide risk mitigation: Defining kinematic and evolutive features of earth flows using integrated monitoring and low-cost sensors.- Monitoring of thermoelastic wave within a rock mass coupling information from IR camera and crack meters: a 24-hour experiment on "Branická skála" Rock in Prague, Czechia.- The role of maesure of deep-seated displacements in the monitoring network on large-sacle landslides.- Monitoring the movement of landslide-flows in Uzbekistan.- Long-term geophysical imaging of moisture driven landslide processes.- Geophysical monitoring of landslides: state-of-the art and recent advances.- Geophysical monitoring of landslides - A step closer towards predictive understanding?.- Recent advances in high spatial resolution geophysical monitoring of moisture-induced landslidesCharacteristic analysis of the Nayong rock avalanche based on the seismic signal.- Electrical resistivity tomography (ERT) based investigation of two landslides in Guizhou, China.- Vibration of Piled Rocks - Which rock can be removed?.- Urgent issues and new suggestions for geo-disaster prevention in Japan.- "Development of resident participation-type slope measurement/monitoring system in mountain region".- Debris flow detection with video camera.- Landslide mapping and monitoring with satellite interferometry.- Comparison between PS and SBAS InSAR techniques in monitoring shallow mass movements.- Analyses of Koitash landslide, affecting Mailuu Suu valley, Kyrgyzstan, through integrated remote sensing techniques.- Landslide monitoring in the main municipalities of Sikkim Himalaya, India, through Sentinel-1 SAR data.- Landslide Early Warning Systems, forecasting models and time prediction of landslides: Definition and first application of a probabilistic warning model for rainfall-induced landslides.- Establishment of an integrated landslide early warning and monitoring system in populated areas.- An integrated WebGis system for
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shallow landslide hazard early warning.- The values of soil wetness measuremnt for regional landslide early warning sytems Technical concepts for an early warning system for rainfall induced landslides in informal settlements.- Combination of rainfall thresholds and susceptibility maps for early warning purposes for shallow landslides at regional scale.- Development of Landslide Early Warning System based on the Satellite-Derived Rainfall Threshold in Indonesia.- Establishing Soil Moisture and Rainfall Intensity-duration thresholds for initiation of mass movements along the National Highway-58 in the Chamoli district of Uttarakhand.- The Efficient Early Warning with South East- Asia Oceania Flash Flood Guidance System (SAOFFGS).- Regional approaches in forecasting rainfall-induced landslides.- Seven years of landslide forecasting in Norway - strengths and limitations.- Characterization of hillslope deposits for physically-based landslide forecasting models.- Development of a Rainfall-induced Landslide Forecast Tool for New Zealand.- Some Successful Early Warning Cases of Landslides in China.- Towards an early warning system for instable slopes in Gorgia The large Tskneti Akhaldaba landslide.- An EWS of landslide and slope failure by MEMS tilting sensor array.- Influence of intervals measuring surface displacement on time prediction of slope failure using Fukuzono Method Velocity and acceleration of surface displacement in sandy model slope with various slope conditions.- Comparison of Moving-average, Lazy, and Information Gain Methods for Predicting Weekly Slope-movements: A Case-study in Chamoli, India.- New insights into the spatiotemporal precursory failure dynamics of the 2017 Xinmo landslide and its surrounds.- Cutting-edge technologies aiming for better outcomes of landslide disaster mitigation.
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Bibliographische Angaben
- 2020, 1st ed. 2021, XXVIII, 361 Seiten, 305 farbige Abbildungen, Maße: 21 x 27,9 cm, Gebunden, Englisch
- Herausgegeben: Nicola Casagli, Veronica Tofani, Kyoji Sassa, Peter T. Bobrowsky, Kaoru Takara
- Verlag: Springer, Berlin
- ISBN-10: 3030603105
- ISBN-13: 9783030603106
Sprache:
Englisch
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