Crenganiș et al. (2025) Flood Risk Prediction and Management by Integrating GIS and HEC-RAS 2D Hydraulic Modelling: A Case Study of Ungheni, Iasi County, Romania

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Water
• Year: 2025
• Date: 2025-10-14
• Authors: Loredana Mariana Crenganiș, Claudiu Ionuţ Pricop, Maximilian Diac, Ana‐Maria Olteanu‐Raimond, Ana-Maria Loghin
• DOI: 10.3390/w17202959

Research Groups

Not explicitly stated, but the study focuses on Ungheni locality (Iași County, Romania), suggesting involvement of local or regional research institutions.

Short Summary

This study applies a high-resolution two-dimensional (2D) hydraulic modeling framework using HEC-RAS and GIS to assess urban flood risk in a data-scarce Romanian setting, quantifying potential impacts on buildings, land parcels, and infrastructure for various flood scenarios.

Objective

• To develop and apply a high-resolution 2D hydraulic modeling framework for urban flood risk assessment in the Ungheni locality, Romania, a data-scarce urban–peri-urban environment, and to quantify flood vulnerability for evidence-based decision-making.

Study Configuration

• Spatial Scale: Ungheni locality, Iași County, Romania. Utilizes a 1 meter × 1 meter LiDAR-derived Digital Terrain Model (DTM) and a hybrid mesh refined between 2 meters × 2 meters and 8 meters × 8 meters.
• Temporal Scale: Focuses on peak flood events characterized by synthetic hydrographs with defined exceedance probabilities (10%, 1%, and 0.1%). Calibration accuracy for peak flow timing is ±15–30 minutes.

Methodology and Data

• Models used: HEC-RAS (2D hydraulic modeling framework), GIS-based spatial analysis.
• Data sources: High-resolution (1 meter × 1 meter) LiDAR-derived Digital Terrain Model (DTM), synthetic hydrographs with defined exceedance probabilities, detailed land use roughness, and explicit incorporation of anthropogenic features (e.g., buildings).

Main Results

• The framework provides inundation extents, depths, and velocities, supporting risk assessment and spatial planning.
• For the 0.1% exceedance probability scenario, the flood risk may affect 882 buildings, 42 land parcels, and 13.5 kilometers of infrastructure.
• The calibration accuracy for peak flow timing was within ±15–30 minutes deviation.

Contributions

• Application of a high-resolution urban 2D hydraulic modeling framework to a data-scarce Romanian urban–peri-urban setting, where detailed hydrological observations are limited.
• Direct integration of synthetic hydrographs with defined exceedance probabilities into the 2D model, reducing the need for extensive hydrological simulations.
• Detailed channel and floodplain discretization at high spatial resolution, explicitly incorporating anthropogenic features like buildings and detailed land use roughness.
• Provides a practical, transferable workflow adapted to data-scarce regions, contributing to evidence-based decision-making for climate adaptation and disaster risk reduction.

Funding

Not mentioned in the provided paper text.

Citation

@article{Crenganiș2025Flood,
  author = {Crenganiș, Loredana Mariana and Pricop, Claudiu Ionuţ and Diac, Maximilian and Olteanu‐Raimond, Ana‐Maria and Loghin, Ana-Maria},
  title = {Flood Risk Prediction and Management by Integrating GIS and HEC-RAS 2D Hydraulic Modelling: A Case Study of Ungheni, Iasi County, Romania},
  journal = {Water},
  year = {2025},
  doi = {10.3390/w17202959},
  url = {https://doi.org/10.3390/w17202959}
}