Impact of modelling scale on probabilistic flood risk assessment: the Malawi case
1 CIMA Research Foundation, Via Armando Magliotto, 2, I-17100 Savona, Italy
2 Deltares, P.O. Box 177, 2600 MH Delft, The Netherlands
3 Institute for Advanced Study of Pavia, Palazzo del Broletto, Piazza della Vittoria, 15, I-27100 Pavia, Italy
a Corresponding author: email@example.com
In the early months of 2015, destructive floods hit Malawi, causing deaths and economic losses. Flood risk assessment outcomes can be used to increase scientific-supported awareness of risk. The recent increase in availability of high resolution data such as TanDEM-X at 12m resolution makes possible the use of detailed physical based flood hazard models in risk assessment. Nonetheless the scale of hazard modelling still remains an issue, which requires a compromise between level of detail and computational efforts. This work presents two different approaches on hazard modelling. Both methods rely on 32-years of numeric weather re-analysis and rainfall-runoff transformation through a fully distributed WFLOW-type hydrological model. The first method, applied at national scale, uses fast post-processing routines, which estimate flood water depth at a resolution of about 1×1km. The second method applies a full 2D hydraulic model to propagate water discharge into the flood plains and best suites for small areas where assets are concentrated. At the 12m resolution, three hot spots with a model area of approximately 10×10 km are analysed. Flood hazard maps obtained with both approaches are combined with flood impact models at the same resolution to generate indicators for flood risk. A quantitative comparison of the two approaches is presented in order to show the effects of modelling scale on both hazard and impact losses.
© The Authors, published by EDP Sciences, 2016
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