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Geohazards and disasters : modelling scenarios as a challenge for the future /

Geohazards and Disasters: Modelling Scenarios as a Challenge for the Future aims to depict an updated view of the most significant technical-scientific knowledge on the topic of geological risks and related mitigation strategies with a focus on the resilience of anthropic communities, and with an ai...

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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Martino, Salvatore (Editor), Della Seta, Marta (Editor), Esposito, Carlo (Editor)
Format: eBook
Language:English
Published: Amsterdam, Netherlands : Elsevier, 2025.
Subjects:
Natural disasters > Mathematical models.
Geophysics > Mathematical models.
Catastrophes naturelles > Modèles mathématiques.
Géophysique > Modèles mathématiques.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Cover
  • Geohazards and Disasters
  • Copyright Page
  • Contents
  • List of contributors
  • About the editors
  • Preface
  • 1 Geohazards and communities
  • 1.1 Introduction
  • 1.2 Concept and definition
  • 1.2.1 Geohazard occurrence
  • 1.2.2 Maximum hazard events
  • 1.2.3 Multihazard and multirisk analysis
  • 1.2.3.1 Building vulnerability to multihazards
  • 1.2.3.2 Multirisk impacts
  • 1.2.3.2.1 Triggering interrelationship
  • 1.2.3.2.2 Amplification interrelationship
  • 1.2.3.2.3 Compound hazard interrelationship
  • 1.2.3.3 Multirisk analysis
  • 1.2.4 Multihazard mapping
  • 1.2.5 Community perspective on risk
  • 1.2.5.1 Community risk awareness and intangible cultural heritage
  • 1.2.5.2 Mountain community risk
  • 1.2.6 Reimagining disaster history
  • 1.2.6.1 Geohazards and human factors
  • 1.3 From losses to resilience
  • 1.3.1 Understanding loss processes
  • 1.3.1.1 Reducing physical vulnerability
  • 1.3.1.2 Reducing socioeconomic vulnerability
  • 1.3.2 The quest for resilience
  • 1.3.2.1 Sendai framework: investing in disaster risk reduction for resilience
  • 1.3.2.2 Urban disaster resilience
  • 1.3.2.3 Resilience against extreme events
  • 1.3.2.4 Threat-agnostic approach to resilience
  • 1.3.3 Geohazard alert systems
  • 1.3.3.1 Tsunami alerts
  • 1.3.3.2 Machine learning for geohazard warnings
  • 1.3.4 Case study of disaster resilience: Hawaii
  • 1.3.4.1 Hawaii tsunami warning
  • 1.3.4.2 Hawaii Outdoor Siren Warning System
  • 1.3.4.3 Hawaii wildfire August 2023
  • 1.3.4.4 Desktop resilience studies
  • 1.3.5 Learning for a resilient future
  • References
  • 2 Ground instability effects
  • 2.1 Ground instability effects
  • concept and definitions
  • 2.2 Ground instability effects
  • depicting landslide scenarios
  • 2.2.1 Introduction
  • 2.2.2 Study area
  • 2.2.3 Methods
  • 2.2.3.1 Physically based regressions.
  • 2.2.3.2 Statistical data-driven methods
  • 2.2.4 Results
  • 2.2.4.1 Physically based regressions
  • 2.2.4.2 Data-driven statistical analysis
  • 2.2.5 Discussion
  • 2.3 Conclusions
  • References
  • Further reading
  • 3 Earthquake effects
  • 3.1 Process overview: seismic waves from source to surface
  • 3.1.1 Source: wave emission and associated signature on ground motion
  • 3.1.2 Crustal propagation
  • 3.1.2.1 Wave types and multipathing
  • 3.1.2.2 Geometrical spreading
  • 3.1.2.3 Anelastic attenuation
  • 3.1.3 Site effects
  • 3.2 Focus on ground shaking site effects: physics and estimation
  • 3.2.1 Surface topography
  • 3.2.1.1 Evidence
  • 3.2.1.2 Present physical understanding on surface topography effects
  • 3.2.1.3 Estimation and accounting
  • 3.2.1.3.1 Building codes
  • 3.2.1.3.2 Statistical relationships
  • 3.2.1.3.3 Site-specific studies
  • 3.2.2 Effects of soft deposits
  • 3.2.2.1 Evidence and instrumental observations
  • 3.2.2.2 Physics
  • 3.2.2.2.1 One-dimensional linear
  • 3.2.2.2.2 Effects of two-dimensional/three-dimensional underground geometry
  • 3.2.2.2.3 Nonlinearities
  • 3.2.2.3 Estimation methods
  • 3.2.2.3.1 Building codes
  • Site classification
  • Associated spectral shapes
  • 3.2.2.3.2 Statistical relationships and ground motion prediction equations
  • Proxies: used and 'ideal'
  • Effects taken into account
  • 3.2.2.3.3 Site-specific studies
  • Instrumental approach (earthquake and noise recordings)
  • Simulation
  • 3.3 Scenarios from earthquake-induced effects
  • References
  • 4 Coastal flood: from modelling to risk assessment and mitigation
  • 4.1 Process overview
  • 4.1.1 Coastal flooding
  • 4.1.2 Tsunamis
  • 4.1.3 Lessons from past events
  • 4.2 Impact and risk assessment methods
  • 4.2.1 Methods
  • 4.2.2 Decision support systems
  • 4.3 Management strategies
  • 4.3.1 Mitigation
  • 4.3.2 Adaptation
  • 4.3.3 Strategies.