Integrating Disaster Science and Management: Global Case Studies in Mitigation and Recovery

Integrated Disaster Management: Case Studies in Advanced Techniques for Mitigation and Recovery bridges the gap between scientific research on natural disasters and the practice of disaster management. It examines natural hazards, including earthquakes, landslides, and tsunamis, and uses integrated disaster management techniques, quantitative methods, and big data analytics to create early warning models to mitigate the impact of these hazards and reduce the risk of disaster. It also looks at mitigation as part of the recovery process after a disaster, such as in the case of the Nepal earthquake. Edited by experts in disaster management and engineering and with global contributors, Integrated Disaster Management: Case Studies in Advanced Techniques for Mitigation and Recovery offers case studies that will help to focus efforts on the critical phases of disaster management. Identifies advanced techniques and models based on natural disaster science for forecasting disasters and analyzing riskOffers a holistic approach to the problem of disaster management, including preparation, recovery, and resilienceIncludes coverage of social, economic, and environmental impacts on disasters INDICE: Assessment and Mitigation 1. A semi-quantitative-based damage index as a tool for mitigating the earthquake risk 2. Seismic hazard assessment: An Integrated approach 3. Earthquake hazard assessment through geological studies 4. Assessment of soil liquefaction based on capacity energy concept and artificial neural networks 5. An overview of tsunami hazard assessment techniques 6. Techniques for mitigation and management of forest fire disaster Recovery and Management 7. Recovery and rehabilitation of Nepal earthquake 8. Urban Flood Management in Coastal Regions Using Numerical Simulation 9. Rock slope stability and their controls 10. Earthquake induced landslide 11. Management of cyclone disaster 12. Theory and practice of drought disaster management 13. Disaster management due to debris flow Analysis and Resilience 14. Big Data Analytics and Social Media in Disaster Management 15. Role of data analysis for disaster mitigation and management 16. Assessing risk and reducing disaster due to Volcano 17. Application of GIS and Remote Sensing for disaster management

• ISBN: 978-0-12-812056-9
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 500
• Fecha Publicación: 01/04/2018
• Nº Volúmenes: 1
• Idioma: Inglés