Risk modeling for hazards and disasters /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Michel, Gero
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Elsevier, 2017.
Temas:
Risk assessment > Mathematical models.
Natural disasters > Risk assessment.
Hazard mitigation.
�Evaluation du risque > Mod�eles math�ematiques.
Catastrophes naturelles > �Evaluation du risque.
Catastrophes > R�eduction.
BUSINESS & ECONOMICS > Industries > General.
Hazard mitigation
Natural disasters > Risk assessment
Risk assessment > Mathematical models
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; RISK MODELING FOR HAZARDS AND DISASTERS; RISK MODELING FOR HAZARDS AND DISASTERS; Copyright; Contents; List of Contributors; INTRODUCTION; References; I
  • CATASTROPHE MODELS, GENERAL CONCEPTS AND METHODS; 1
  • Quantifying Model Uncertainty and Risk; INTRODUCTION; BACKGROUND OF CATASTROPHE MODELING; DIFFERENT COMPONENTS OF CATASTROPHE MODELS; EARTHQUAKE HAZARD; Components of Earthquake Source Models; Fault Sources; Distributed Sources; Smoothing of Seismicity; Smoothing of Historical Seismicity; Maximum Magnitude; Earthquake Probability Model; Ground Motion.
  • EPISTEMIC UNCERTAINTY IN SEISMIC HAZARD RESULTSBUILDING VULNERABILITY; Methodology; Loss Distribution; Analytical Approach of Development of Vulnerability Functions; BUILDING COMPONENTS; DAMAGE STATES; REPAIR COSTS; PEER-PBEE-Based Analytical Approach; Damage Measure and Repair Cost; SECONDARY HAZARD AND SUBPERILS; METHODOLOGY FOR LOSS CALCULATIONS; LOSS RESULTS AND THE UNCERTAINTY; OVERVIEW OF A TYPICAL HURRICANE CATASTROPHE MODEL; COMPONENT LEVEL UNCERTAINTIES; Sensitivity to Numbers of Years and Numbers of Samples; Sensitivity to Choices for LTR Models.
  • Sensitivity to Choices for MTR ModelsSensitivity to Choices for Track, Intensity, Size, Transitioning, and Filling Rate Models; Sensitivities to Overland Wind-Field Models; Sensitivities to Vulnerabilities; Other Wind Uncertainties; Surge Uncertainties; Flood Uncertainties; SUMMARY; References; Further Reading; 2
  • What Makes a Catastrophe Model Robust; INTRODUCTION; PROMISE OF THE STOCHASTIC CATALOG; SIMULATION OF EVENT INTENSITIES AT LOCATION; MODELING DAMAGE; FINANCIAL MODEL AND VALIDATING LOSSES; CLOSING THOUGHTS; Acknowledgments; References; APPENDIX A; Stochastic Catalog.
  • Conditional Exceedance ProbabilityCONCLUDING REMARKS; Acknowledgments; References; 4
  • Empirical Fragility and Vulnerability Assessment: Not Just a Regression; INTRODUCTION; CHALLENGES WITH POSTEVENT LOSS AND DAMAGE DATABASES; Postevent Loss and Damage Data Sources; Incomplete Data; Measurement and Classification Errors; Intensity; Asset Characteristics; Damage Scale; Loss; Multiple Successive Hazard Events; STATISTICAL MODELS
  • WHICH MODEL FITS THE DATA BEST?; Introduction; Parametric Statistical Models; Nonlinear Models; Linear Models; Generalized Linear Models.

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