| ... | ... | @@ -39,12 +39,17 @@ Annual Maximum are interesting as a first contact with flood frequency analyses, |
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Also, as stated in the introduction, the Gumbel distribution is widely used in hydrology, but it is not valid for extreme floods. This is why in the graphs the confidence intervals do not go further than T=100 years and the x axis in return period is limited in range, eventhough highest observed values are out of the graph. To see them all, toggle to "x axis as frequency" (and back...).
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### Todo list...
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:moneybag: :money_with_wings: It is planned to add damage to each flood, through a damage-frequency relationship, and to plot the average damages on a given duration so as to illustrate the variability of damages on a restricted set of observations.
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### Todo list...
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Maybe a fork with POT Sample generation (with fitted exponential law) can be proposed.
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Other tools are developped to sample and process real data (as time series) with both annual maxima and POT methods. The use of pandas for coding has the advantage of yielding very readable code, but "default" arguments of resample methods are sometimes questionable ; a tool should be on line soon, with a control of missing values (to validate sampled peak or aggregation for multiduration analysis).
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## About Economy...
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:moneybag: HydroDemo_Sample2Gumbel2Damages is on its way :money_with_wings:
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By adding the definition of a discharge-frequency table, for one or more land-uses, an spinoff named Sample2Gumbal2Damages computes the damages per land use and per event, as another chronological time-series, and compares the observed damages per land-use and total per year on average to the Annual Average Damage estimated from the damage-frequency curve.
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### Main references
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