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Titel |
Forensic Disaster Analysis in Near-real Time |
VerfasserIn |
Michael Kunz, Jochen Zschau, Friedemann Wenzel, Bijan Khazai, Tina Kunz-Plapp, Werner Trieselmann |
Konferenz |
EGU General Assembly 2014
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Medientyp |
Artikel
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Sprache |
Englisch
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 16 (2014) |
Datensatznummer |
250100640
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Publikation (Nr.) |
EGU/EGU2014-16625.pdf |
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Zusammenfassung |
The impacts of extreme hydro-meteorological and geophysical events are controlled by
various factors including severity of the event (intensity, duration, spatial extent),
amplification with other phenomena (multihazard or cascading effects), interdependencies of
technical systems and infrastructure, preparedness and resilience of the society.
The Center for Disaster Management and Risk Reduction Technology (CEDIM) has adopted
the comprehensive understanding of disasters and develops methodologies of near real-time
FDA as a complementing component of the FORIN program of IRDR. The new research
strategy “Near Real-Time Forensic Disaster Analysis (FDA)” aims at scrutinizing disasters
closely with a multi-disciplinary approach in order to assess the various aspects of
disasters and to identify mechanisms most relevant for an extreme event to become a
disaster (e.g., causal loss analysis). Recent technology developments - which have
opened unprecedented opportunities for real-time hazard, vulnerability and loss
assessment - are used for analyzing disasters and their impacts in combination with
databases of historical events. The former covers modern empirical and analytical
methods available in engineering and remote sensing for rapid impact assessments,
rapid information extraction from crowd sourcing as well as rapid assessments of
socio-economic impacts and economic losses. The event-driven science-based assessments of
CEDIM are compiled based on interdisciplinary expertise and include the critical
evaluation, assessment, validation, and quantification of an event. An important
component of CEDIM’s FDA is the near real-time approach which is expected to
significantly speed up our understanding of natural disasters and be used to provide timely,
relevant and valuable information to various user groups within their respective
contexts.
Currently, CEDIM has developed models and methodologies to assess different types of
hazard. These approaches were applied to several disasters including, for example, Super
Typhoon Haiyan/Yolanda (Nov. 2013), Central European Floods (June 2013), Hurricane
Sandy (Oct. 2012), US Droughts (Summer 2012), or Typhoon Saola in Taiwan and
Philippines (July 2012). |
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