Antiterrorist emergency ventilation : system, strategy and decision-making /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Li, Xianting
Otros Autores: Cai, Hao, Zhao, Lina
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Nova Science Publishers, ©2009.
Colección:Terrorism, hot spots and conflict-related issues.
Temas:
Emergency ventilation.
Terrorism > Prevention > Equipment and supplies.
Decontamination (from gases, chemicals, etc.)
Gases, Asphyxiating and poisonous.
Décontamination.
Gaz asphyxiants et délétères.
TECHNOLOGY & ENGINEERING > Construction > Heating, Ventilation & Air Conditioning.
Emergency ventilation
Gases, Asphyxiating and poisonous
Terrorism > Prevention > Equipment and supplies
Acceso en línea:Texto completo
Tabla de Contenidos:
  • ANTITERRORIST EMERGENCYVENTILATION: SYSTEM, STRATEGY AND DECISION-MAKING; ANTITERRORIST EMERGENCY VENTILATION: SYSTEM, STRATEGY AND DECISION-MAKING ; CONTENTS; PREFACE; NOMENCLATURE; GREEK LETTERS; ABBREVIATIONS; ACKNOWLEDGMENT; WHY IS ANTITERRORIST EMERGENCYVENTILATION NEEDED?; 1.1. BACKGROUND; 1.2. ANTITERRORIST EMERGENCY VENTILATION SYSTEM; 1.2.1. Previous Studies; 1.2.2. Emergency Ventilation System against ContaminantSuddenly Released in Public Building; 1.2.3. Emergency Ventilation System for Rescuing Hostages Heldby Terrorists; MODELING OF CONTAMINANT DISPERSIONAND SOURCE IDENTIFICATION.
  • 2.1. CFD METHOD2.1.1. Physical and Mathematical Modeling; 2.1.2. Numerical Method; 2.2. MODELING OF CONTAMINANT DISPERSION; 2.2.1. Concept of Accessibility; 2.2.2. Temporal and Spatial Distribution Formula of Contaminant; 2.3. Identification of Contaminant Source; 2.3.1. Introduction; 2.3.2. Method to Identify Source with Limited Number of Sensors; 2.3.3. Demonstration Cases of Source Identification; EVACUATION MODEL AND EVALUATION OFEXPOSURE RISK; 3.1. MODELING OF EVACUATION; 3.1.1. Review of Existing Evacuation Models; 3.1.2. Spatial-grid Evacuation Model (SGEM).
  • (1) Computational Principles(2) Simulation Method; 3.1.3. Cellular Automata Model; (1) Basic Model; (2) Extended Model; 3.2. EVALUATION OF EXPOSURE RISK; 3.2.1. Concept of Occupied Density, Exposure Cell and its LayeredModel; (1) Occupied Density (OD); (2) Exposure Cell and its Layered Model; 3.2.2. Relative Exposure Risk Index {́142}¯ Efficiency Factor of Contaminant Source; 3.2.3. Absolute Exposure Risk Index {́142}¯ Population Injury Rate; EMERGENCY VENTILATION SYSTEM AGAINSTCONTAMINANT SUDDENLY RELEASED INPUBLIC BUILDING; 4.1. INTRODUCTION; 4.2. DECISION ANALYSIS METHOD FOR EMERGENCYVENTILATION SYSTEM.
  • 4.2.1. Overview of Decision Analysis4.2.2. Modeling the Decision Problem of Emergency VentilationSystem; (1) Decision Alternatives; (2) States of Nature; (3) Payoffs; 4.2.3. Decision under Certainty; 4.2.4. Decision under Risk; 4.2.5. Decision under Uncertainty; (1) Maximax Criterion; (2) Maximin Criterion; (3) Hurwicz Criterion; 4.3. DEMONSTRATION EXAMPLES OF EMERGENCYVENTILATION DECISION-MAKING; 4.3.1. Example 1: Decision Analysis Based on Relative ExposureRisk; (1) Case Setup; (2) Numerical Procedure; (3) Results and Discussion.
  • 4.3.2. Example 2: Decision Analysis Based on Absolute ExposureRisk(1) Case Setup; (2) Numerical Procedure; (3) Results and Discussion; EMERGENCY VENTILATION SYSTEM FORRESCUING HOSTAGES HELD BY TERRORISTS; 5.1. INTRODUCTION; 5.2. STRATEGY OF EMERGENCY VENTILATION; Option A; Option B; Opition C; 5.3. DEMONSTRATION EXAMPLE OFEMERGENCY VENTILATION; 5.3.1. Description of Building; 5.3.2. Optimal Ventilation Strategy; SUMMARY; REFERENCES; INDEX.

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