Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Influence of DEM Spatial Resolution on the Accuracy and Computational Efficiency of HEC-RAS 1D and 2D Flood Inundation Modelling: A Case Study of the Cimanceuri Basin, Indonesia. |
| Συγγραφείς: |
Fikri, Rijal Muhammad, Herawati, Henny, Pranoto, Wati Asriningsih |
| Πηγή: |
Water (20734441); May2026, Vol. 18 Issue 10, p1203, 24p |
| Θεματικοί όροι: |
Spatial resolution, Hydraulic models, Laser altimeters, Digital elevation models, Flood forecasting, Mathematical optimization, Open-channel flow, Floods |
| Γεωγραφικοί όροι: |
Indonesia |
| Περίληψη: |
Digital Elevation Model (DEM) resolution plays a critical role in hydraulic flood modelling by influencing inundation accuracy, spatial precision and computational efficiency. However, limited studies have simultaneously evaluated both inundation accuracy and computational performance across multiple DEM resolutions in event-based urban flood modelling. This study aims to evaluate the impact of DEM spatial resolution on the performance of HEC-RAS 1D and 2D models in simulating an event-based urban flood that occurred on 3 March 2025. A 1 m LiDAR-derived DEM was resampled to 2 m, 5 m, 8 m, 10 m, 20 m, 25 m, and 30 m resolutions to assess the effects of terrain generalization on hydraulic response. Simulated inundation extents were validated against observed flood areas derived from aerial imagery, and computation time was recorded for each scenario. Results reveal a clear trade-off between spatial accuracy and computational demand. In the 1D simulations, deviation from observed inundation increased from 0.76 ha at 1 m to 2.50 ha at 30 m, while computation time remained relatively stable. The 2D simulations were more sensitive to DEM resolution, with deviation increasing from 0.33 ha to 3.12 ha and longer runtimes at finer resolutions. Among the evaluated scenarios, the 10 m DEM provided the most balanced performance in both 1D and 2D models. For rapid assessment and operational flood management, where computational efficiency and timely decision-making are critical, a 1D modelling approach combined with a 10 × 10 m DEM is recommended as a practical and efficient solution. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
Complementary Index |