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Beyond Modelling: Linking Models with GIS for Flood Risk Management

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  • Andre Zerger
  • Stephen Wealands

Abstract

Spatially explicit hydrodynamic flood models can play animportant role in natural hazard risk reduction. A key element of these models that make them suitable for riskreduction is the ability to provide time-series inundation information about the onset, duration and passingof a hazard event. Such information can be critical for landuse planning, for mapping evacuation egress routes,and for locating suitable emergency shelters to name only a few risk treatments. This research contends that abarrier to effective risk reduction is providing disaster managers with access to model results in a structured andflexible framework that allows consequences of different hazard scenarios to be assessed and mapped. Toaddress these limitations, a framework has been developed that links a commercial relational databasemanagement system with a GIS-based decision support system. The framework utilises industry standard dataexchange protocols and results in efficient time-series hazard data management. A case study based in Cairns,in far-north coastal Australia is presented to illustrate how the system has been developed. Results show that theframework reduces data volumes significantly, while making pre-run modelled inundation results rapidly accessibleto disaster managers. Of note is the ability of the framework to present results in terms of risk to buildings,roads and other spatial features in urban regions, and to provide answers to relatively complex risk questions. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • Andre Zerger & Stephen Wealands, 2004. "Beyond Modelling: Linking Models with GIS for Flood Risk Management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 33(2), pages 191-208, October.
  • Handle: RePEc:spr:nathaz:v:33:y:2004:i:2:p:191-208
    DOI: 10.1023/B:NHAZ.0000037040.72866.92
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    References listed on IDEAS

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    2. Narayan Prasad Nagendra & Gopalakrishnan Narayanamurthy & Roger Moser, 2022. "Management of humanitarian relief operations using satellite big data analytics: the case of Kerala floods," Annals of Operations Research, Springer, vol. 319(1), pages 885-910, December.
    3. Choong-Sung Yi & Jin-Hee Lee & Myung-Pil Shim, 2010. "GIS-based distributed technique for assessing economic loss from flood damage: pre-feasibility study for the Anyang Stream Basin in Korea," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 55(2), pages 251-272, November.
    4. Gabrielle Thongs, 2019. "Integrating risk perceptions into flood risk management: Trinidad case study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 98(2), pages 593-619, September.
    5. Chaochao Li & Xiaotao Cheng & Na Li & Xiaohe Du & Qian Yu & Guangyuan Kan, 2016. "A Framework for Flood Risk Analysis and Benefit Assessment of Flood Control Measures in Urban Areas," IJERPH, MDPI, vol. 13(8), pages 1-18, August.
    6. Chen-Chieh Feng & Yi-Chen Wang, 2011. "GIScience research challenges for emergency management in Southeast Asia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(1), pages 597-616, October.
    7. A. Kulkarni & T. Eldho & E. Rao & B. Mohan, 2014. "An integrated flood inundation model for coastal urban watershed of Navi Mumbai, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(2), pages 403-425, September.
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