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Summary: Water Resources Management (2006) 20: 391410
DOI: 10.1007/s11269-006-0326-3 C Springer 2006
An Intelligent Decision Support System
for Management of Floods
SAJJAD AHMAD1,
and SLOBODAN P. SIMONOVIC2
1Department of Civil, Architectural, and Environmental Engineering, University of Miami, Coral
Gables, FL 33146-0630, U.S.A.; 2Department of Civil and Environmental Engineering, University
of Western Ontario, London, ON, N6A 5B9, Canada
(author for correspondence, e-mail: sajjad@miami.edu)
(Received: 10 February 2005; in final form: 21 June 2005)
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
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