Hyfran Plus Work Jun 2026
: Fréchet (EV2), Log-Pearson Type 3 (LP3), Halphen Type Inverse B (HIB), and Inverse Gamma.
It provides precise fitting for data, reducing uncertainty in design storms and peak flow calculations.
The primary goal of HYFRAN-PLUS is to take a sample of historical data and find the best-fitting mathematical model (a probability distribution) to represent it. This model can then be used to calculate the probability of events with specific (e.g., a "100-year flood"). hyfran plus
: Researchers use it to develop Intensity-Duration-Frequency (IDF) curves and estimate rainfall depths for specific return periods (e.g., a 1-in-100-year event). Availability and Documentation
Modeling flash floods, sea levels, and precipitation depths. : Fréchet (EV2), Log-Pearson Type 3 (LP3), Halphen
: Engineers use it to determine design criteria for dams, sewer systems, and flood management structures by calculating peak discharge (Qpeak) .
This wide range of options allows researchers to test multiple theoretical distributions against their observed data and select the one that provides the best statistical fit. This model can then be used to calculate
HYFRAN-PLUS is supported by comprehensive documentation:
Fitting can be performed using several robust methods:
Master Hydrological Frequency Analysis with HYFRAN-PLUS is a powerful statistical software designed to fit mathematical probability distributions to extreme events. Developed by the Chair in Statistical Hydrology at INRS-ETE under the guidance of Bernard Bobée and his research team, it has become an indispensable industry-standard tool for civil engineers, hydrologists, and meteorologists worldwide. Whether you are estimating the peak flow of a 100-year flood to design a dam, calculation of torrential rainfall to size urban culverts, or evaluating extreme climate risks, this software offers the rigorous mathematical frameworks needed to turn historical data into actionable design criteria. 🛠️ Core Features of HYFRAN-PLUS
The development of HYFRAN-PLUS is an ongoing process, driven by research needs and computational advancements. Future developments are focused on enhancing its analytical power, particularly in:
