@@ -10,10 +10,7 @@ The user can add values to the sample or start a new series.
The graphs do not mention explicitely "Q" as y_label, because this too can also be used for rainfall analysis illustration.
Q(T) relationship are diplayed with uncertainty, with either return periods or frequency as absicissis.
It is so far in french, but an option for English captions is on its way (through a file with translations implemented a s dictionnaries)
## HydroDemo_Sample2Gumbel2Damages is on its way
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 observes damages per land-use and total per year on average to the Annual Average Damage estimated from the damage-frequency curve.
It is so far in french, but an option for English captions is on its way (translations implemented as a dictionnaries in a separate python file)
## SEE WIKI PAGES FOR DETAILED EXPLANATIONS
...
...
@@ -22,3 +19,8 @@ Benjamin Renard, Probabilités et Statistiques appliquées à l'Hydrologie : htt
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 observes damages per land-use and total per year on average to the Annual Average Damage estimated from the damage-frequency curve.
