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March 29, 20260 citationsOpen Access

Drainage system obstructions in real time simulation and its impacts on urban floods modelling

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PMPaula Morais Canedo de MagalhãesLCLaís Brilhante da CunhaMSMatheus Martins de Sousa

Key Points

  • This paper aims to enhance urban flood modeling by integrating a sediment transport module in a hydrodynamic model.
  • Incorporation of a sediment transport and deposition module into MODCEL, a quasi 2D hydrodynamic model.
  • Utilization of the moving bed approach for real-time simulation of sediments within drainage pipes.
  • Evaluation of model performance and reliability in predicting urban flood scenarios.
  • The incorporation of the moving bed did not complicate calculations significantly.
  • The model yielded more reliable results for predicting urban flood scenarios compared to previous methods.

Abstract

The urbanization process significantly alters the hydrological flow patterns of natural watersheds, resulting not only in an increase in liquid flows but also in the amount of eroded sediments transported by surface runoff. In the context of urban flood modeling, the effects of sediment incorporation into the drainage system are generally limited to an increase in the roughness coefficient or the application of a reduction factor in the system's hydraulic capacity. This modeling approach decreases the reliability of extrapolating the results obtained for different situations used in model calibration, as it does not simulate the system clogging process itself but rather the effects it causes. Thus, the objective of this paper is to present the incorporation of a sediment transport and deposition module into MODCEL, a quasi 2D hydrodynamic model, to simulate the transport and deposition of sediments inside urban drainage pipes in real-time simulation, based on the moving bed approach. It was observed that the incorporation of the moving bed did not introduce significant complexities into the calculations nor compromise the model's performance, yielding more reliable results, especially for predicting simulation scenarios.

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Cite This Study

Magalhães et al. (2026) studied this question.

synapsesocial.com/papers/69c8c2b8de0f0f753b39d1bahttps://doi.org/10.71573/vv3r2x37
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