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Computer Science - Theoretical Computer Science | Improving Disaster Resilience and Mitigation - IT Means and Tools

Improving Disaster Resilience and Mitigation - IT Means and Tools

Teodorescu, H.-N., Kirschenbaum, A., Cojocaru, S., Bruderlein, C. (Eds.)

2014, XVI, 344 p. 110 illus.

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  • First volume dedicated to almost all aspects of IT use in the various phases of increasing the resilience of societies facing disasters
  • Application topics balanced by chapters on methods and fundamentals
  • Offers interdisciplinary viewpoints on the use of computer technology in disaster mitigation
  • Includes novel approaches and recommendations for enhancing the resilience

The focus of this volume is comprised of the fundamentals, models, and information technologies (IT) methods and tools for disaster prediction and mitigation. A more detailed list of topics includes mathematical and computational modeling of processes leading to or producing disasters, modeling of disaster effects, IT means for disaster mitigation, including data mining tools, knowledge-based and expert systems for use in disaster circumstances, GIS-based systems for disaster prevention and mitigation, and equipment for disaster-prone areas. A specific type or class of disasters (natural or human-made), however will not be part of the main focus of this work. Instead, this book was conceived to offer a comprehensive, integrative view on disasters, seeking to determine what various disasters have in common. Because disaster resilience and mitigation involve humans, societies, and cultures, not only technologies and economic models, special attention was paid in this volume to gain a comprehensive view on these issues, as a foundation of the IT tool design.

Content Level » Graduate

Keywords » AI and disaster mitigation - Disaster modelling and simulation - Hazard and society resilience - Multidisciplinary approach and disaster mitigation - information technology and disaster mitigation

Related subjects » Geographical Information Systems - Information Systems and Applications - Natural Hazards - Theoretical Computer Science

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