TriHydrA

A Three-Layer Verification Framework for Streamflow Anomaly Detection

TriHydrA is an open-source Python framework designed to help verify whether unusual streamflow behaviour is a true hydrological signal or a suspicious data anomaly. Inspired by its three-headed name, the tool combines three layers of checks: time-series quality control, hydrological signature analysis, and catchment-context verification. By turning spikes, gaps, negative flows, odd hydrograph shapes, and other streamflow weirdness into clear diagnostic flags and visual outputs, TriHydrA aims to make anomaly detection more transparent, reproducible, and hydrologically meaningful.