Understanding and Reducing Landslide Disaster Risk

Volume 3 Monitoring and Early Warning

AvNicola Casagli,Veronica Tofani

Häftad, Engelska, 2021

Del i serien ICL Contribution to Landslide Disaster Risk Reduction

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Beskrivning

This book is a part of ICL new book series “ICL Contribution to Landslide Disaster Risk Reduction” founded in 2019.

Produktinformation

Utgivningsdatum:2021-12-22
Mått:210 x 279 x 22 mm
Vikt:952 g
Format:Häftad
Språk:Engelska
Serie:ICL Contribution to Landslide Disaster Risk Reduction
Antal sidor:361
Förlag:Springer Nature Switzerland AG
ISBN:9783030603137

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Innehållsförteckning

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 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.