I'm analysing flood in a climate change scenario. I extract maps of floods after their occurrence from satellite images and I would like to relate them to different future climate scenarios in order to assess the change in flood risk.
This is a hard question, one idea that come to me is that you can tune up a 2d hydraulic model to reproduce the registered flood ussing the precipitation records that triggered it in the study area, after obtain the the runoff in terms of yield and looks for surroundings discharge stations with the same yield. Once detected this station so I think it will be valid to assume that the return period of that yield will be the same as the one that provoque the flood you are studieing.
May be a simples solution is not to establish the return period of the flood but to define the return period of triggering precipitation that ussually can be done over the sourrounding rainfall stations.
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Thanks a lot Efrain! It seems a good approach. Do you have any model to suggest?
The approach suggested by Efrain is correct. Try HEC-RAS and LISFLOOD-FP for your analysis.
Dear Fabio,
if you condact a simulation (using HECRAS as Alexander Psomas said), let's say in a river basin, you can correct/validate your by using satellite data (sar or optical). After the appropriate corrections you can change the parameters of your model (alter the flood return period) and test again for the new parameters.
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