Advancing Culture of Living with Landslide Volume 3 Advances in Landslide Technology 1st Edition by Matjaz Mikos ISBN 9783319534862 by Mikos, Matjaz(editor);arbanas, Zeljko(editor);yin, Yueping(editor);sassa, Kyoji(editor) 9783319534879, 9783319534862, 9783319534824, 9783319534848, 9783319534978, 3319534866, 3319534823, 331953484X, 3319534971 instant download after payment.

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ISBN 13: 9783319534862
Author: Matjaz Mikos

This volume contains peer-reviewed papers from the Fourth World Landslide Forum organized by the International Consortium on Landslides (ICL), the Global Promotion Committee of the International Programme on Landslides (IPL), University of Ljubljana (UL) and Geological Survey of Slovenia in Ljubljana, Slovenia from May 29 to June 2, 2017. The complete collection of papers from the Forum is published in five full-color volumes. This third volume contains the following: •    One keynote lecture •    Landslide Monitoring and Warning: Monitoring Techniques and Technologies, •    Early Warning Systems •    Landslide Disasters and Relief: Case Studies, Emergency Measures, First Aid, •    Civil Protection Measures •    Landslide Mitigation, Remediation and Stabilization: Landslide Protection Works, •    Landslide Stabilization And Remediation Measures, Landslide Non-Structural Measures Prof. Matjaž Mikoš is the Forum Chair of the Fourth World Landslide Forum. He is the Vice President of International Consortium on Landslides and President of the Slovenian National Platform for Disaster Risk Reduction. Prof. Željko Arbanas is representative of Croatian Landslide Group, member of the International Consortium on Landslides. He is the Head of Geotechnical Chair at Faculty of Civil Engineering University of Rijeka, Croatia and the Assistant Editor-in-Chief of International Journal “Landslides”.< Prof. Yueping Yin is the President of the International Consortium on Landslides and the Chairman of the Committee of Geo-Hazards Prevention of China, and the Chief Geologist of Geo-Hazard Emergency Technology, Ministry of Land and Resources, P.R. China. Prof. Kyoji Sassa is the Founding President of the International Consortium on Landslides (ICL). He is Executive Director of ICL and the Editor-in-Chief of International Journal “Landslides” since its foundation in 2004. IPL (International Programme on Landslides) is a programme of the ICL. The  programme is managed by the IPL Global Promotion Committee including ICL and ICL supporting organizations, UNESCO, WMO, FAO, UNISDR, UNU, ICSU, WFEO, IUGS and IUGG. The IPL contributes to the United Nations International Strategy for Disaster Reduction and the ISDR-ICL Sendai Partnerships 2015–2025.

Advancing Culture of Living with Landslide Volume 3 Advances in Landslide Technology 1st Table of contents:

1 Remote Sensing Techniques in Landslide Mapping and Monitoring, Keynote Lecture
Abstract
Introduction
Remote Sensing Techniques
Optical VHR Data
Satellite SAR Data
Ground-Based Interferometric Synthetic Aperture Radar (GB-InSAR)
Terrestrial Laser Scanner (TLS)
InfraRed Thermography (IRT)
Case Studies
Messina Province—Satellite SAR
San Leo Rock Cliff
Discussion
Conclusion
References
Landslide Monitoring and Warning
2 Introduction: Landslide Monitoring and Warning
Abstract
Introduction
Landslide Monitoring and Early Warning Systems for Landslide Occurrence Prediction
Landslide Monitoring and Early Warning Systems at Regional Level
Remote Sensing and Landslide Monitoring
Case Studies of Landslide Monitoring and Early Warning Systems
Acknowledgements
References
3 Multisensor Landslide Monitoring as a Challenge for Early Warning: From Process Based to Statistic
Abstract
Introduction
Monitored Data Management
Observation Based Approach (OBA)
Semi-Empirical Approach (SEA)
Statistical-Based Approach (SBA)
Example of a Multi-parametric Monitoring System: Preliminary Results from Acuto (Italy) Test-Site
Acknowledgements
References
4 Wireless Sensor Networks for Early Warning of Landslides: Experiences from a Decade Long Deploymen
Abstract
Introduction
Design of Intelligent Wireless Probe (IWP)
Spatial Distribution of IWPs and Real-Time Monitoring Network
Field Deployment of Landslide System
Site 1: The Anthoniar Colony, Munnar, Kerala
Site 2: Chandmari, Sikkim, India
Delivering Real Time Warnings to the Community
Data Analysis and Results
Conclusion and Future Work
Acknowledgements
References
5 Design and Validation of Wireless Communication Architecture for Long Term Monitoring of Landslide
Abstract
Introduction
Related Work
System Description
Design of Sensor Network Gateway Unit
Design of Sensor Node
Sensor Interfacing
DC Sensors
AC Sensors
Digital Sensors
GPS Measurements
Validation
Conclusion
Acknowledgements
References
6 Scalable, Secure, Fail Safe, and High Performance Architecture for Storage, Analysis, and Alerts i
Abstract
Introduction
Related Work
Architecture
General Description
Site Design
Replication Design
Server Design
Server Design—Translation
Server Design—Aggregation
Server Design—Alerts
Security
Fail Safety, Tracking and Troubleshooting
Performance and Scalability
Performance Analysis
Performance Test Setup
Performance Analysis of Data Transfer Mechanisms
Performance Analysis of Reconnection
Performance Analysis of Aggregation
Conclusions
References
7 A Self-adaptive Data Acquisition Technique and Its Application in Landslide Monitoring
Abstract
Introduction
Methodology
Double MCUs Based Hardware Architecture
Embedded Software Implementation
Improved Crack Gauge and Its Landslide Monitoring Application
Crack Gauge with Self-adaptive Data Acquisition Mode
Preliminary Application in Landslide Monitoring
Conclusion and Future Work
Acknowledgements
References
8 A New Landslide Early Warning Technology—Escorting for Life
Abstract
Introduction of Landslide
Pros and Cons of the Traditional Early Warning Model
Mass Monitoring and Preventing
Professional Monitoring Method
An Introduction to a New Technology for the Early Warning of Landslide
Development Goals of the New Technology
The Key Technology and Workflows
Working Procedure of the Sensor
Working Procedure of Awacs
Example of Practice of New Technology
Conclusion
References
9 Prediction of Displacement Rates at an Active Landslide Using Joint Inversion of Multiple Time Ser
Abstract
Introduction
Description of the Séchilienne Landslide
Location, Geometry
Kinetics and Hydrogeology
Monitoring Network
Description of the Forecasting Model FLAME
Joint Inversion
Water Inputs
Parameter Space
Assessment of the Quality of the Results
Simulation of Displacement Rates at the Séchilienne Landslide
Models Using One Transfer Function Γda
Models Using Two Transfer Functions Γda and Γpa
Discussion
Acknowledgements
References

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