Jobin, Erik2013-05-082013-05-0820132013http://hdl.handle.net/10393/24124http://dx.doi.org/10.20381/ruor-2994Extreme rainfall statistics are important for the design and management of the water resource infrastructure. The standard approach for extreme rainfall event severity assessment is the Intensity-Duration-Frequency (IDF) method. However, this approach does not consider the spatial context of rainfall and consequently does not properly describe rainfall storm severity, nor rarity. This study provides a critical account of the current standard practice and presents an approach that takes into consideration both the spatial context of rainfall storms, and indirectly incorporates runoff to produce a representative approach to assessing urban rainfall storm severity in terms of flood potential. A stepwise regression analysis was performed on a dataset of individual rainfall storm characteristics to best represent documented basement floodings in the City of Edmonton. Finally, the urban rainfall storm flood severity index was shown to be most representative of the documented basement floodings' severity when compared to that of the IDF method.enextremeextreme rainfallextreme rainfall stormrainfall stormextreme rainfall statisticsfloodingIDFintensity-duration-frequencystorm severityrainfall severityrainfall storm severitystorm severity indexextreme rainfall eventrainfall eventseverity assessmentspatial rainfallweather radarradarprecipitationrainfallCity of EdmontonEdmontonCanadaextreme eventextreme rainfall eventextreme stormrainfall eventrunoffbasement floodingbasement floodfloodurban rainfall storm severityurban rainfall storm flood severity indexflood potentialstepwise regressionrainfall storm characteristicsThesis