, primarily used to estimate the frequency and severity of extreme events like floods and heavy rainfall. Developed as an evolution of the original HYFRAN software, it integrates a powerful Decision Support System (DSS)
Predicts extreme hydrological events based on historical data.
As the Hyfran Plus gained traction, its impact was felt across the globe: hyfran plus
The software simplifies complex statistical modeling by fitting observational data to various probability distributions, allowing for reliable estimation of future events. Key Features and Capabilities
: A key feature that helps users select the most appropriate class of statistical distributions based on data characteristics. Available Distributions , primarily used to estimate the frequency and
Designing dams, culverts, bridges, and storm drainage systems to withstand "100-year events".
Not everyone loved it. Critics called Hyfran Plus sentimental, selective, and inward-looking. Some argued that attention without organized action — conversation without policy — could offer solace while letting structural problems fester. There were scandals in which a facilitator, untrained in trauma care, mishandled a confession; lawsuits threatened, and then were settled with mediation and stricter facilitator agreements. The movement learned: boundaries matter, facilitators must be trained, and procedures are necessary when grief or harm surface. Hyfran Plus adapted with the same humility it asked of participants — a culture that could accept critique and correct itself. Key Features and Capabilities : A key feature
(Hydrological Frequency Analysis Plus Decision Support System) is a premier statistical analysis software engineered to fit mathematical probability distributions to datasets of extreme environmental events. Originally developed by Dr. Bernard Bobée and his research team at the Institut National de la Recherche Scientifique (INRS-ETE) in Quebec, Canada, this tool serves as an industry standard for civil engineers, meteorologists, and environmental scientists. It transforms raw environmental time series into actionable risk metrics.