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Volume 15, Issue 3 (Autumn-In Press 2025)
Disaster Prev. Manag. Know. 2025, 15(3): 6-6 |
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vayskarami I, Haghizadeh A, Fathabadi A. Assessment of the Impact of Digital Model Accuracy on Flood Hazard Simulation Case Study: (A Reach of the River Downstream of Khorramabad City). Disaster Prev. Manag. Know. 2025; 15 (3) :6-6
URL: http://dpmk.ir/article-1-741-en.html
URL: http://dpmk.ir/article-1-741-en.html
1- Department of Watershed Management Engineering, Faculty of Natural Resources, Lorestan University, Khorramabad, Iran
2- Department of Watershed Management Engineering, Faculty of Agriculture and Natural Resources, Gonbad kavous University, Golestan, Iran
2- Department of Watershed Management Engineering, Faculty of Agriculture and Natural Resources, Gonbad kavous University, Golestan, Iran
Abstract: (38 Views)
Backgroundand Objective: Despite significant advancements in the development of hydraulic models, the accuracy of flood predictions is influenced by various factors, including topography, the precision of digital elevation model (DEM), and roughness coefficients. Notably, the accuracy of DEM can have a substantial impact on the outcomes of flood simulations and flood hazard mapping. The primary objective of this study is to evaluate the effect of DEM accuracy on the performance of the HEC-RAS two-dimensional model in simulating flood hazard zones.
Method: In this research, the impact of DEM accuracy on HEC-RAS model results was analyzed using three DEM layers with resolutions of 0.5, 2, and 3 meters. Water flow simulations were conducted in a 3-kilometer reach of the river downstream of Khorramabad city in Lorestan province. Measured discharges in April and October 1403 were 34 and 15 m3/s, respectively, with a flood event in April considered to be 1000 m3/s. The simulation results, including water depth and flow velocity based on the aforementioned DEM layers, were compared with measured values at four cross-sections within the study area for the specified discharges. The analyses were carried out by evaluating the measured parameters (depth, velocity, and flow width) and the simulation results of the four observational sections, along with the use of statistical indices.
Findings: The results indicated that the accuracy of the DEM significantly affects the performance of the HEC-RAS model. Specifically, for the DEM with a resolution of 0.5 meters, the simulation results for flow and flood hazard maps were much closer to the measured reality compared to the DEM with resolutions of 2 and 5 meters. The average prediction errors for depth and flow velocity were 10% and 12% lower, respectively, than those of the 2 and 5-meter resolution models. Additionally, analyses of hydraulic parameters, including depth, velocity, and flow width, revealed a significant correlation between DEM accuracy and flood prediction accuracy.
Conclusion: In conclusion, it can be asserted that the accuracy of the DEM plays a crucial role in enhancing the performance of the HEC-RAS model in simulating flood hazard zones. When the accuracy of the DEM is high, the prediction results are significantly better and more reliable. Therefore, improving the accuracy of DEM can be considered an effective strategy in flood risk management. Furthermore, optimizing and upgrading elevation data production techniques can enhance flood prediction accuracy and, consequently, reduce flood-related damages. These findings underscore the importance of focusing on the accuracy of hydraulic models and the necessity of utilizing high-quality data in studies related to flood risk management and mitigation.
Method: In this research, the impact of DEM accuracy on HEC-RAS model results was analyzed using three DEM layers with resolutions of 0.5, 2, and 3 meters. Water flow simulations were conducted in a 3-kilometer reach of the river downstream of Khorramabad city in Lorestan province. Measured discharges in April and October 1403 were 34 and 15 m3/s, respectively, with a flood event in April considered to be 1000 m3/s. The simulation results, including water depth and flow velocity based on the aforementioned DEM layers, were compared with measured values at four cross-sections within the study area for the specified discharges. The analyses were carried out by evaluating the measured parameters (depth, velocity, and flow width) and the simulation results of the four observational sections, along with the use of statistical indices.
Findings: The results indicated that the accuracy of the DEM significantly affects the performance of the HEC-RAS model. Specifically, for the DEM with a resolution of 0.5 meters, the simulation results for flow and flood hazard maps were much closer to the measured reality compared to the DEM with resolutions of 2 and 5 meters. The average prediction errors for depth and flow velocity were 10% and 12% lower, respectively, than those of the 2 and 5-meter resolution models. Additionally, analyses of hydraulic parameters, including depth, velocity, and flow width, revealed a significant correlation between DEM accuracy and flood prediction accuracy.
Conclusion: In conclusion, it can be asserted that the accuracy of the DEM plays a crucial role in enhancing the performance of the HEC-RAS model in simulating flood hazard zones. When the accuracy of the DEM is high, the prediction results are significantly better and more reliable. Therefore, improving the accuracy of DEM can be considered an effective strategy in flood risk management. Furthermore, optimizing and upgrading elevation data production techniques can enhance flood prediction accuracy and, consequently, reduce flood-related damages. These findings underscore the importance of focusing on the accuracy of hydraulic models and the necessity of utilizing high-quality data in studies related to flood risk management and mitigation.
Type of Study: Research |
Subject:
Special
Received: 2025/01/10 | Accepted: 2025/05/31 | ePublished: 2025/12/21
Received: 2025/01/10 | Accepted: 2025/05/31 | ePublished: 2025/12/21
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