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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:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Risk modeling for hazards and disasters /  |c edited by Gero Michel. 
260 |a Amsterdam :  |b Elsevier,  |c 2017. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Includes index. 
588 0 |a Print version record. 
505 0 |6 880-01  |a 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. 
505 8 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
650 0 |a Risk assessment  |x Mathematical models. 
650 0 |a Natural disasters  |x Risk assessment. 
650 0 |a Hazard mitigation. 
650 6 |a �Evaluation du risque  |0 (CaQQLa)201-0139195  |x Mod�eles math�ematiques.  |0 (CaQQLa)201-0379082 
650 6 |a Catastrophes naturelles  |0 (CaQQLa)201-0018874  |x �Evaluation du risque.  |0 (CaQQLa)201-0385652 
650 6 |a Catastrophes  |x R�eduction.  |0 (CaQQLa)201-0427726 
650 7 |a BUSINESS & ECONOMICS  |x Industries  |x General.  |2 bisacsh 
650 7 |a Hazard mitigation  |2 fast  |0 (OCoLC)fst01737034 
650 7 |a Natural disasters  |x Risk assessment  |2 fast  |0 (OCoLC)fst01982424 
650 7 |a Risk assessment  |x Mathematical models  |2 fast  |0 (OCoLC)fst01098155 
700 1 |a Michel, Gero. 
776 0 8 |i Print version:  |t Risk modeling for hazards and disasters.  |d Amsterdam : Elsevier, 2017  |z 0128040718  |z 9780128040713  |w (OCoLC)974441099 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780128040713  |z Texto completo 
880 8 |6 505-01/(S  |a Local IntensityDamage Functions; Financial Calculations; Overall Model; 3 -- Towards a More Dynamical Paradigm for Natural Catastrophe Risk Modeling; INTRODUCTION; LOSS SIMULATION; Event Loss Table Definition; Loss Distribution Functions: CEP, OEP, and AEP; CLUSTERING; Scientific Background; Overdispersion in Counts; Building Clustering into ELT Calculations; DYNAMICAL MIXTURE MODELS; Concept; Estimation of the Mixing Parameters: β0,i and β1,i; Choice of Row Overdispersion: Scaling Properties; Models and Simulations; Results; Clustering; Aggregate Exceedance Probability.