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An Examination of Extreme Flood Events and Resiliency of the Lower St. Johns River, Florida, USA Using Multiple Methods
1 , * 1 , 2 , 3
1  University of North Florida, School of Engineering
2  Taylor Engineering Research Institute, University of North Florida
3  University of North Florida, School of Engineering; Director of CAWE


The St. Johns River, located in Northeast Florida, USA, is a large watershed characterized by relatively flat topography, porous soils, and increasing urbanization. The city of Jacksonville, Florida is located near the downstream terminus of the river near the Atlantic Ocean. The lower portion of the watershed located downstream of Lake George is subjected to tidal exchange and storm surge from tropical storms and hurricanes as well as extra-tropical winter storms. Extreme flood events in the Lower St. Johns River can be caused by rain-driven runoff, high tide, storm surge or any combination of the three. This study examines the range of potential extreme flood discharges caused by rain-driven runoff within six larger sub-basins located in the Lower St. Johns River. The study uses multiple methods including published flood insurance data, two statistical hydrology methods, and model simulations to estimate an array of flood discharges at varying return frequencies. The study also examines the potential effects on flood discharges from future land use changes and the temporal distribution of rainfall. The rain-driven flood discharge estimates are then fit to a normal distribution to convey the overall risk and uncertainty associated with the flood estimates. The study also proposes a new methodology to estimate rain-driven flood discharges using existing numerical models of each the six sub-basins prepared by the Saint Johns River Water Management District. Overall, the study revealed a wide range of reasonable rainfall-driven flood estimates are possible using the same data sets. The wide range of estimates will help inform future resiliency projects planned in the study area by providing a more realistic set of bounds with which planning can proceed. The estimates derived herein can be combined with the independent or dependent effects of tide and storm surge in order to characterize the total flood resiliency risk of the region.

Keywords: resiliency; flood estimates; St. Johns River; simulation