RESEARCH / HYDROLOGICAL MODELLING
Flood Forecasting in the Brembo River Basin using HEC-HMS
Research focused on event-based rainfall-runoff modelling, Curve Number optimization and peak-discharge estimation for flood forecasting in the Brembo River Basin in Northern Italy.
Research objective
The study investigated methods for estimating flood discharge peaks using HEC-HMS and optimized Curve Numbers, with the objective of improving event-based flood forecasting.
Study area
The analysis focused on the Brembo River Basin in Northern Italy, covering more than 800 km².
Methodology
Rainfall-runoff simulations were developed in HEC-HMS using historical hydrological observations. Curve Numbers were optimized and evaluated for individual rainfall events to improve simulated peak-discharge estimates.
Calibration and validation
Observed and simulated discharge peaks were compared to evaluate model performance and the ability of the methodology to reproduce flood events.
Engineering relevance
The work demonstrates how hydrological modelling, historical observations and parameter optimization can be combined to support practical flood forecasting and early-warning applications.
Publication
Water Discharge Peak Estimation Based on HEC-HMS and Predicted Curve Numbers for Flood Forecast in the River Brembo (Northern Italy)
Journal of Flood Risk Management, 2025
Tools & topics
HEC-HMS · Hydrological Modelling · Rainfall-Runoff Modelling · Curve Number Optimization · Flood Forecasting · QGIS