Author(s): Lucas Pereira, Anna Johansson and Emiliano Rodríguez

Abstract: Flooding is one of the most catastrophic natural hazards that significantly impacts human populations, infrastructure, and the environment. Accurate flood forecasting and control are essential for mitigating the damages caused by these disasters. This paper explores the application of advanced numerical modeling techniques in river engineering to improve flood prediction and management. Various numerical models, such as 1D, 2D, and 3D models, have been employed to simulate river flow, sediment transport, and flood propagation. These models have demonstrated a high level of accuracy in predicting flood events by simulating the behavior of water bodies under different conditions. Numerical modeling enables the evaluation of flood risks in various scenarios, providing valuable insights into the behavior of water in complex river systems. The implementation of these models has led to improved flood management strategies, including early warning systems, floodplain zoning, and infrastructure design. This paper also discusses the integration of geographic information systems (GIS) and remote sensing data into numerical models to enhance their predictive capabilities. The combination of numerical models with real-time data has resulted in more dynamic and responsive flood forecasting tools. The research further emphasizes the importance of model calibration, validation, and uncertainty analysis to ensure reliable results. By employing advanced numerical models, river engineers can develop more effective flood control strategies, minimizing loss of life and property. The findings suggest that the integration of numerical modeling techniques into river engineering practices offers significant potential for enhancing flood forecasting accuracy and flood risk management.

DOI: 10.22271/27078264.2026.v7.i1a.109

Pages: 09-12 | Views: 31 | Downloads: 8

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