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An Intelligent Decision Support System for Management of Floods

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  • Sajjad Ahmad
  • Slobodan Simonovic

Abstract

Integrating human knowledge with modeling tools, an intelligent decision support system (DSS) is developed to assist decision makers during different phases of flood management. The DSS is developed as a virtual planning tool and can address both engineering and non-engineering issues related to flood management. Different models (hydrodynamic, forecasting, and economic) that are part of the DSS share data and communicate with each other by providing feedback. The DSS is able to assist in: selecting suitable flood damage reduction options (using an expert system approach); forecasting floods (using artificial neural networks approach); modeling the operation of flood control structures; and describing the impacts (area flooded and damage) of floods in time and space. The proposed DSS is implemented for the Red River Basin in Manitoba, Canada. The results from the test application of DSS for 1997 flood in the Red River Basin are very promising. The DSS is able to predict the peak flows with 2% error and reveals that with revised operating rules the contribution of Assiniboine River to the flooding of Winnipeg city can be significantly reduced. The decision support environment allows a number of “what-if” type questions to be asked and answered, thus, multiple decisions can be tried without having to deal with the real life consequences. Copyright Springer Science + Business Media, Inc. 2006

Suggested Citation

  • Sajjad Ahmad & Slobodan Simonovic, 2006. "An Intelligent Decision Support System for Management of Floods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(3), pages 391-410, June.
    • Handle: RePEc:spr:waterr:v:20:y:2006:i:3:p:391-410
    DOI: 10.1007/s11269-006-0326-3
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    References listed on IDEAS

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    1. Slobodan Simonovic & Sajjad Ahmad, 2005. "Computer-based Model for Flood Evacuation Emergency Planning," 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. 34(1), pages 25-51, January.
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