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<p>This study investigates the efficiency of the HEC-RAS v6.5 hydrodynamic model at basin scale in calculating flow hydrographs, comparing its performance with the TUFLOW model. The research examines the <i>Fosso di Mare</i> basin in <i>Calabria</i>, Italy, by using structured grids with varying resolutions (5&#xa0;m, 10&#xa0;m, and 20&#xa0;m). The study evaluates the impact of grid resolution on the accuracy of flood hydrographs generated by HEC-RAS, using results generated with TUFLOW as benchmarks. The results indicate that the peak flow computed using HEC-RAS estimates decreases with lower grid resolutions, while the time of the peak flow increases, suggesting the occurrence of a numerical storage effect within the computational domain. TUFLOW demonstrates more stability and requires significantly less computational time, making it suitable for large-scale studies. This research offers valuable insights for hydraulic design and flood risk assessments, particularly in regions with limited resources for commercial hydrodynamic models.</p>

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Performance of HEC-RAS v6.5 at basin scale for calculating the flow hydrograph: comparison with TUFLOW

  • 期刊论文

  • 发表日期：

    2025年2月28日

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  • Pasqualino Artiglieri,
  • Giuseppe Curulli,
  • Francesco Coscarella,
  • Danilo Algieri Ferraro,
  • Francesco Macchione

摘要

This study investigates the efficiency of the HEC-RAS v6.5 hydrodynamic model at basin scale in calculating flow hydrographs, comparing its performance with the TUFLOW model. The research examines the Fosso di Mare basin in Calabria, Italy, by using structured grids with varying resolutions (5 m, 10 m, and 20 m). The study evaluates the impact of grid resolution on the accuracy of flood hydrographs generated by HEC-RAS, using results generated with TUFLOW as benchmarks. The results indicate that the peak flow computed using HEC-RAS estimates decreases with lower grid resolutions, while the time of the peak flow increases, suggesting the occurrence of a numerical storage effect within the computational domain. TUFLOW demonstrates more stability and requires significantly less computational time, making it suitable for large-scale studies. This research offers valuable insights for hydraulic design and flood risk assessments, particularly in regions with limited resources for commercial hydrodynamic models.