Integrating disaster science and management : global case studies in mitigation and recovery /

Annotation

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Samui, Pijush, 1978- (Editor ), Kim, Dookie, 1969- (Editor ), Ghosha, Candana (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam, Netherlands : Elsevier, [2018]
Temas:
Emergency management.
Natural disasters.
Risk management.
Natural Disasters
Risk Management
Catastrophes naturelles.
Gestion du risque.
natural disasters.
risk management.
BUSINESS & ECONOMICS > Infrastructure.
SOCIAL SCIENCE > General.
Emergency management
Natural disasters
Risk management
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover; Title page; Copyright page; Dedication; Contents; List of Contributors; Introduction; Part I
  • Assessment and Mitigation; Chapter 1
  • A Risk Index for Mitigating Earthquake Damage in Urban Structures; 1.1
  • Introduction; 1.2
  • Fault-tree analysis; 1.3
  • Methodology; 1.4
  • Case study; 1.5
  • Results; 1.6
  • Summary; References; Chapter 2
  • Importance of Geological Studies in Earthquake Hazard Assessment; 2.1 Introduction; 2.2 Identification of suspected active faults; 2.2.1 Delineation of Lineaments; 2.2.2 Regional Geomorphic Analysis; 2.2.3 Geomorphic Indices
  • 2.2.4 Active Fault Identification in Peninsular India2.3 Reading past seismic events from geological records; 2.3.1 Timing of the Events; 2.4. On fault studies; 2.4.1 Studies from Sedimentary Terrains; 2.4.2 Studies in the Central Seismic Gap of the Himalayas; 2.4.3 Fault Studies from Crystalline Rocks; 2.4.4 Studies in Desamangalam Fault; 2.5 Off fault features; 2.5.1 Liquefaction and Related Soft Sedimentary Deformations; 2.5.2 Studies in Gangetic Plains; 2.6 Local site conditions; 2.6.1 Chandigarh Microzonation Studies; 2.7 Summary; References
  • Assessment of Soil Liquefaction Based on Capacity Energy Concept and Back-Propagation Neural Networks3.1
  • Introduction; 3.2
  • Bpnn methodology; 3.3
  • Evaluation criteria; 3.4
  • Development of capacity energy model using bpnn; 3.4.1
  • The Database; 3.4.2
  • BPNN Model Results; 3.4.3
  • Parameter Relative Importance; 3.4.4
  • Easy-to-Interpret ANN Model; 3.5
  • Performance comparisons; 3.6
  • Summary and conclusion; Appendix A
  • Procedures for Partitioning of ANN Weights for Log(W) Model; Appendix B
  • Calculation of ANN output Log(W) model; Acknowledgments; References
  • Chapter 4
  • Recent Earthquakes and Volcanic Activities in Kyushu Island, Japan4.1
  • Introduction; 4.2
  • Recent earthquakes in kyushu island, southwestern japan; 4.2.1
  • The 2005 West Off Fukuoka Prefecture Earthquake; 4.2.2
  • The 2016 Kumamoto Earthquake; 4.3
  • Volcanoes in kyushu island; 4.3.1
  • Unzen Volcano; 4.3.2
  • Kuju Volcano; 4.3.3
  • Monitoring and Studying Activity of Volcanoes; 4.4
  • Disaster prevention and mitigation in japan; 4.5
  • Conclusions; References; Chapter 5
  • Winter Storms; 5.1
  • Overview; 5.2
  • The significance of winter storms
  • 5.3
  • Formation mechanism and properties of winter storms5.4
  • Mitigation; 5.4.1
  • Risk Management; 5.4.2
  • Mitigation; 5.4.2.1
  • Structured Mitigation; 5.4.2.2
  • Unstructured Mitigation; 5.4.3
  • Insurance; 5.5
  • Recovery; 5.5.1
  • Planning; 5.5.2
  • Public Information and Warning; 5.5.3
  • Operational Coordination; 5.5.4
  • Economic Recovery; 5.5.5
  • Health and Social Services; 5.5.6
  • Housing; 5.5.7
  • Infrastructure Systems; 5.5.8
  • Natural and Cultural Resources; 5.6
  • Winter storms and public health operation: mitigation and recovery; References
  • Chapter 6
  • Spatial Association Between Forest Fires Incidence and Socioeconomic Vulnerability in Portugal, at Municipal Level

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