Ian McCallum, Wei Liu, Linda See, Reinhard Mechler, Adriana Keating, Stefan Hochrainer-Stigler, Junko Mochizuki, Steffen Fritz, Sumit Dugar, Miguel Arestegui, Michael Szoenyi, Juan-Carlos Laso Bayas, Peter Burek, Adam French, Inian Moorthy. Technologies to Support Community Flood Disaster Risk Reduction[J]. International Journal of Disaster Risk Science, 2016, 7(2): 198-204. doi: 10.1007/s13753-016-0086-5
Citation: Ian McCallum, Wei Liu, Linda See, Reinhard Mechler, Adriana Keating, Stefan Hochrainer-Stigler, Junko Mochizuki, Steffen Fritz, Sumit Dugar, Miguel Arestegui, Michael Szoenyi, Juan-Carlos Laso Bayas, Peter Burek, Adam French, Inian Moorthy. Technologies to Support Community Flood Disaster Risk Reduction[J]. International Journal of Disaster Risk Science, 2016, 7(2): 198-204. doi: 10.1007/s13753-016-0086-5

Technologies to Support Community Flood Disaster Risk Reduction

doi: 10.1007/s13753-016-0086-5
Funds:

Funding from the global Zurich Flood Resilience Alliance is gratefully acknowledged. We thank Andreas Tanadi and Arfik Triwahyudi from Zurich Insurance Indonesia for providing detailed information on the implementation of the Community Flood Resilience Program in Indonesia.

  • Available Online: 2021-04-26
  • Floods affect more people globally than any other type of natural hazard. Great potential exists for new technologies to support flood disaster risk reduction. In addition to existing expert-based data collection and analysis, direct input from communities and citizens across the globe may also be used to monitor, validate, and reduce flood risk. New technologies have already been proven to effectively aid in humanitarian response and recovery. However, while ex-ante technologies are increasingly utilized to collect information on exposure, efforts directed towards assessing and monitoring hazards and vulnerability remain limited. Hazard model validation and social vulnerability assessment deserve particular attention. New technologies offer great potential for engaging people and facilitating the coproduction of knowledge.
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