Flood Frequency Distribution (FFD 2.1)

Version 2.2 (575 KB) by Tarik Benkaci
Flood Frequency Distribution (FFD) is free software to analyze flood and estimate Quantile for Different return Periods - Matlab
5.0
(2)
782 Downloads
Updated 21 Apr 2020
View License on GitHub

Flood Frequency Distribution (FFD) is free software to analyze flood and estimate Quantile for Different return Periods
1- In FFD 2.0, we have introduced ten (10) Probability Distributions:
Normal Distribution, Log Normal Distribution (2p), Gumbel Distribution
Racine-Normal Distribution, (GEV) Distribution, Gamma Distribution (2p), Log Pearson 3 Distribution, Goodrich Distribution, LogNormal (3P) and Weibull Distribution (2p)
2-In FFD 2.1, Estimation of parameters method of some of distributions can be with:
a- Method of Moment or b- L-Moment
3-The results of quantiles are estimated with lower and upper bounds 95% (Except Goodrich distribution).
4-Quantile-Quantile plot (QQ-plot) is displayed with Correlation coefficient R.
5-Displays Root mean squared Error (RMSE) between quantile and observed data.
6-Return periods are: 2, 5 10, 20, 50 100, 500, 1000 and 10000 years
7-Diplays the calculated quantiles and lower-upper Bounds in excel File.

Cite As

Tarik Benkaci (2025). Flood Frequency Distribution (FFD 2.1) (https://github.com/TBenkHyd2/Flood_Freq_Matlab), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2014b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
2.2

Modify Confidence interval for LP3
2.1

Flood Frequency Distribution (FFD 2.1) is free software to analyze flood and estimate Quantile for Different return Periods and Flood frequency relations.
2.0

We have introduced ten (10) Probability Distributions. Estimation of parameters method of some of distributions can be with: Method of Moment or L-Moment
1.1.0.0

in FFD 1.1 We have introduced Racine Normal Distribution
1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.