Hyfran Plus Page
Please be aware of a few critical licensing restrictions:
A comprehensive study published in the Iraqi Geological Journal demonstrated the power of HYFRAN-PLUS for rainfall frequency analysis. Researchers tested eleven theoretical probability distributions to simulate observed rainfall probability. Using the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC), the study objectively identified the in the research region.
This is where the Decision Support System (DSS) becomes invaluable. The DSS helps users identify which class of distributions is most suitable for their data's extreme values. For example, one study in the Al-Adhaim Basin in Iraq used HYFRAN-PLUS to analyze rainfall. The software allowed the researchers to objectively determine that the Gumbel distribution was the most appropriate model for their data.
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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
The software was developed by the research team of Professor Bernard Bobée at the in Québec, Canada. It represents a significant evolution of the original HYFRAN software. A key enhancement is the integration of a Decision Support System (DSS) which helps analysts select the most appropriate class of statistical distributions for their specific dataset. While its primary application is in hydrology for analyzing extreme events like floods and heavy rainfall, its robust statistical framework allows it to be used for fitting statistical distributions to any Independent and Identically Distributed (IID) data series, finding applications in environmental science, engineering, meteorology, and even medical sciences.
Walking into a -20°C freezer warehouse, you will often find Hyfran Plus used as floor insulation panels or door frame thermal breaks. It resists the freeze-thaw cycle that turns standard concrete or wood into crumbling hazards. Furthermore, its closed-cell structure prevents ice crystal formation inside the material itself.
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HYFRAN-PLUS stands out due to its rich set of features that guide the user from raw data to reliable predictions. The software (Version 2.2) is available in both English and French. Please be aware of a few critical licensing
is a highly specialized, world-class statistical software application designed to fit mathematical probability distributions to extreme environmental data. Originally developed by the Chair in Statistical Hydrology at the National Institute of Scientific Research (INRS-ETE) in Canada, it has become the global industry standard for engineers, meteorologists, and environmental scientists who need to predict the severity and frequency of extreme natural phenomena.
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: The software specializes in fitting independent, stationary, and homogeneous data sets to a wide range of statistical distributions—up to 18 different types, including Log-Pearson Type III Decision Support System (DSS)
With that distinction made, we can now dive into the real HYFRAN-PLUS. This is where the Decision Support System (DSS)
When engineers design a bridge, a dam, or a city’s stormwater system, they aren't just building for today’s weather. They are building for the "100-year storm"—those rare, extreme events that can cause catastrophic flooding if not properly accounted for. But how do we predict the intensity of something that hasn’t happened yet?
Hyfran Plus is highly regarded for its robust statistical capabilities. Key features include: 1. Extensive Probability Distributions
The software provides a range of graphical outputs to help interpret results, including time series plots, probability paper plots, histograms, and comparisons of multiple fitted distributions with confidence intervals.