Hello, i am working on floods and i have a lot of gaps and i will model flooded areas (eg storm events, 24 sept 2003 and 10 sept 2020) and flood prone areas using Hec Ras.
For the data, I have a series of daily precipitation from 1971 until 2020. So, I did a frequency analysis of this series (maximum daily rainfall), I determined the IDF curves and for return periods 2, 5, 10, 50 and 100 years and then I'll estimate the flow. using the rational method.
My questions are:
- To model the flood zones, it is what I saw that to do the modeling you need a long series.
-To model the flooded areas I just need the precipitation of the rainy events?
So, do we have to work on each model separately?
or else I have to change the maximum daily rainfall of the 2 years 2003 and 2020 by the rainfall events (so that the values are not lost with the maximum daily rainfall) and I only use the 2 years 2003 and 2020 to delimit the flooded areas and I keep the whole series to model the flood zones?
Please i need clarification :)
You also need to have daily and yearly maximal flow discharges time series for at least 30 years. This would give you a possibility to estimate maximal discharges of 0.01, 1 % duration. Through that you could be able floodable areas around the riverbed. The approach is old, but may be very useful
thank you Dr Rovshan K Abbasov for your answer, yes for the flow discharge it is not possible to have them, so I have to estimate them.
So my question is do I need a long series to be able to model the flood prone areas (including storm event data) or am I just basing it on only storm event data ?
Yes, That would be perfect if you have a long time series. But, If you do not have, you may use precipitant data and find relationship between daily precipitation and floods. Even if that not possible, you must probably use regional data and downscale it, would be rather problematic
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