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T7
Omar
Flood Risk Assessment for Non-Gauged Watersheds
Al Soukhnaarea locatedatthe northof the Gulf of Suez presents a great potential for development
programs. The area is embedded within a network of active watersheds, which are subjected to
recurrentflashflooding.The current paper is directed towards developing a methodology for flood
riskassessmentandrelative vulnerabilityclassificationforwatershedsassociated with wadi systems
inarid regions.GeographicInformationSystem(GIS) isusedasthe mainanalysistool formodelingAl
Sokhna area. Watersheds in the study area have been identified, and geomorphology parameters
and watershed characteristics have been estimated. Nine parameters which mostly affect the
watershed's response have been selected to classify the watersheds according to flood risk. The
runoff hydrographs of NASH method have been compared with the proposed vulnerability
classification. The results of flood risk classification compared well with the estimated runoff peak
discharge and time to peak. GIS has proved, as expected, to be an easy and efficient toll for
watersheds flood risk assessment

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T7 omar elbadawy flood risk assessment for non-gauged watersheds exec summary

  • 1. T7 Omar Flood Risk Assessment for Non-Gauged Watersheds Al Soukhnaarea locatedatthe northof the Gulf of Suez presents a great potential for development programs. The area is embedded within a network of active watersheds, which are subjected to recurrentflashflooding.The current paper is directed towards developing a methodology for flood riskassessmentandrelative vulnerabilityclassificationforwatershedsassociated with wadi systems inarid regions.GeographicInformationSystem(GIS) isusedasthe mainanalysistool formodelingAl Sokhna area. Watersheds in the study area have been identified, and geomorphology parameters and watershed characteristics have been estimated. Nine parameters which mostly affect the watershed's response have been selected to classify the watersheds according to flood risk. The runoff hydrographs of NASH method have been compared with the proposed vulnerability classification. The results of flood risk classification compared well with the estimated runoff peak discharge and time to peak. GIS has proved, as expected, to be an easy and efficient toll for watersheds flood risk assessment