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Mountain Risks: From Prediction to Management and Governance

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Cover of 'Mountain Risks: From Prediction to Management and Governance'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: The components of Risk Governance
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    Chapter 2 Innovative Techniques for the Detection and Characterization of the Kinematics of Slow-Moving Landslides
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    Chapter 3 Innovative Techniques for the Characterization of the Morphology, Geometry and Hydrological Features of Slow-Moving Landslides
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    Chapter 4 Techniques for the Modelling of the Process Systems in Slow and Fast-Moving Landslides
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    Chapter 5 Methods for Debris Flow Hazard and Risk Assessment
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    Chapter 6 Review and Advances in Methodologies for Rockfall Hazard and Risk Assessment
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    Chapter 7 Medium-Scale Multi-hazard Risk Assessment of Gravitational Processes
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    Chapter 8 Methods for the Characterization of the Vulnerability of Elements at Risk
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    Chapter 9 The Importance of the Lessons Learnt from Past Disasters for Risk Assessment
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    Chapter 10 Disaster Mitigation by Spatial Planning
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    Chapter 11 Disaster Mitigation by Corrective and Protection Measures
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    Chapter 12 The Relevance of Legal Aspects, Risk Cultures and Insurance Possibilities for Risk Management
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    Chapter 13 The Relevance of Early-Warning Systems and Evacuations Plans for Risk Management
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    Chapter 14 Risk Assessment: Establishing Practical Thresholds for Acceptable and Tolerable Risks
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    Chapter 15 The Use of Geo-information and Modern Visualization Tools for Risk Communication
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Mentioned by

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1 policy source

Citations

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11 Dimensions

Readers on

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93 Mendeley
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Title
Mountain Risks: From Prediction to Management and Governance
Published by
Springer Netherlands, September 2013
DOI 10.1007/978-94-007-6769-0
ISBNs
978-9-40-076768-3, 978-9-40-076769-0
Editors

Van Asch, Theo, Corominas, Jordi, Greiving, Stefan, Malet, Jean-Philippe, Sterlacchini, Simone

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 4%
Student > Master 3 3%
Professor > Associate Professor 2 2%
Student > Bachelor 2 2%
Professor 1 1%
Other 2 2%
Unknown 79 85%
Readers by discipline Count As %
Engineering 5 5%
Earth and Planetary Sciences 4 4%
Environmental Science 3 3%
Computer Science 1 1%
Psychology 1 1%
Other 0 0%
Unknown 79 85%