Urban Scale Uncertainty for Runoff Generation. Case study Nice, France

The runoff in urban areas is related with high uncertainty due to small spatial soil variability’s (soil properties), temporal variability’s (variations in rainfall intensity) and topographical variability’s. The paper focuses on different topography used in runoff generation. The obtained results present runoff generation in the case study area using different digital terrain models. The results show significantly different flood depth with respect to used digital elevation models that include buildings and transportation network and the models that do not include buildings. Simplification of high resolution of LiDAR Digital Surface Model (DSM) is done by re-sampling original 2x2m grid to larger size. The flow model is developed using MIKE21. The analysed urban area is represented by urban geometry created in ArcGis 10 and MIKE21. Chosen case study area is located in south east area of France. This Mediterranean city is characterized with high precipitation episodes that present a risk to the build environment and population. Within CORFU FP7 project these characteristics are analyzed and presented in order to analyze the flood risk, improve the existing flood risk management and rise up flood resilience.Batica Jelena, Gourbesville Philippe. Urban Scale Uncertainty for Runoff Generation. Case study Nice, France. In: SimHydro 2014. New Trends in Simulation. 11-13 June 2014 Ecole Polytech’ Nice (France) 2014