Improving disaster resilience and mitigation : IT means and tools


Improving disaster resilience and mitigation : IT means and tools

edited by Horia-Nicolai Teodorescu ... [et al.]

(NATO science for peace and security series, C . Environmental security)

Springer, c2014

  • : hb

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"Proceedings of the NATO Advanced Research Workshop on Improving Disaster Resilience and Mitigation -- IT Means and Tools. Isai, Romania, 6-8 November 2013"--T.p. verso

"This volume is not and should not be listed as a "conference proceedings". Every lecture in the related ARW was carefully drafted as a chapter with an extended number of pages and deep coverage"--P. vi

Includes bibliographical references



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.


  • Part I: Fundamentals and Modeling.- Survey of IC&T in disaster mitigation and disaster situation management
  • H.-N. L. Teodorescu.- Organizations under siege: innovative adaptive behaviors in work organizations
  • A.Kirschenbaum, C. Rapaport.- Risk perception and communication
  • F. Bouder.- Establishing social resilience with (public-private partnership)-based BCM (Business Continuity Management)
  • K. Watanabe.- A model for the spatio-temporal distribution of population using country-wide statistical data and its application to the estimation of human exposure to disasters
  • K. Himoto, J. Kimata.- From noise to knowledge: smart city-responses to disruption
  • J. Noennig, P. Schmiedgen.- Challenges of image-based crowd-sourcing for situation awareness in disaster management
  • G. Moreau et al.-Foresight and forecast for prevention, mitigation and recovering after social, technical and environmental disasters
  • N.D. Pankratova et al.- Disaster early warning and relief: a human-centered approach
  • E. Damiani et al.- Expert systems for assessing disaster impact on the environment
  • M. Biliaiev et al.- Fuzzy logic and data mining in disaster mitigation
  • A. Kandel et al.- Decision support to build in landslide prone areas
  • I. Lungu et al.- Part II: Tools and Applications.- Mitigation using emergent technologies
  • L.J.M. Rothkrantz.- Geographic information for disaster management - An overview
  • W. Reinhardt.- The potential of cloud computing for analysis and finding solutions
  • M. Craus, C. Butincu.- How to improve the reactiveness and efficiency of embedded multi-core systems by use of probabilistic simulation and optimization techniques
  • J. Mottok et al.-Design of safe systems
  • P. Hlousek, I. Konecny.- Emergency-SonaRes: a system for ultrasound diagnostics support in extreme cases
  • C. Gaindric et al.- A decision support system for forest fire containment
  • A.Guasch et al.- Vulnerability analysis and GIS based seismic risk assessment Georgia case
  • N. Tsereteli et al.- Sensors for environmental control based on chaotic systems
  • V. Cojocaru.- Wearable, assistive system for monitoring people in critical Environments
  • L.A. Amarandei, M.G. Hagan.

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