Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Integrated Flood Hazard Assessment using GIS and 2D Hydraulic Modelling: A Case Study of Sanica River, Bosnia and Herzegovina. |
| Συγγραφείς: |
Lazović, Nerma, Mulaomerović-Šeta, Ajla |
| Πηγή: |
European Journal of Computational Mechanics; 2025, Vol. 34 Issue 3/4, p299-324, 26p |
| Θεματικοί όροι: |
Flood damage prevention, Geographic information systems, Hydraulic models, Canyons |
| Γεωγραφικοί όροι: |
Bosnia & Herzegovina |
| Περίληψη: |
Flood extent maps (FEM) and flood hazard maps (FHM) serve as legal instruments for spatial planning, decision-making, strategic flood risk planning, and public awareness, supporting sustainable and safe land use along the river corridor. This study aims to improve existing FEM and create FHM for the Sanica river, prone to frequent flooding. The existing FEM were developed using a 1D HEC-RAS model under steady-flow conditions, applying a single uniform Manning roughness coefficient along the entire river reach. The study presents the first application of an unsteady 2D HEC-RAS model along Sanica river, integrating LiDAR-based topography and updated hydrological data to derive FEM and FEH for common return periods. The final 2D hydraulic model was selected through calibration of seven variants of the Manning roughness coefficient, three lumped and four distributed, with the optimal configuration identified based on three goodness-of-fit measures. The comparison of 1D and 2D FEM shows close agreement in morphologically confined canyon reaches, while significant differences occur in river sections with floodplain inundation and dominant 2D flow. These results indicate that model dimensionality can be selected based on reachscale morphology, enabling the use of 1D models in canyon sections to reduce computational time, while applying 2D models only where complex flow dynamics are present within the Sanica river study area. [ABSTRACT FROM AUTHOR] |
|
Copyright of European Journal of Computational Mechanics is the property of River Publishers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Βάση Δεδομένων: |
Complementary Index |