Journal of Hydroinformatics (Sep 2023)

Flood modelling for a real-time decision support system of the covered Lower Paillons River, Nice, France

  • Paguédame Game,
  • Mingyan Wang,
  • Philippe Audra,
  • Philippe Gourbesville

DOI
https://doi.org/10.2166/hydro.2023.181
Journal volume & issue
Vol. 25, no. 5
pp. 1884 – 1908

Abstract

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Nice Metropolis in Alpes Maritimes, France is prone to flood. The city is crossed by the Lower Paillons River (LPR). Its discharge for a return period of 100 years is estimated at 794 m3/s. Part of the river is covered by 2 km. In addition, there are two retention storages in the river bed and a floodable road tunnel on the left bank. Due to the increase in urban development, flood management is challenging. An existing decision support system, Aquavar, uses DHI Mike tools to reproduce runoff for the Lower Var River in the same region. To extend this system to the LPR and reinforce flood management, a new modelling tool adapted to the characteristics of the LPR is needed. Consequently, this research utilizes the DHI MIKEPLUS tool to develop a 1D -2D coupled model for real-time flood management. The results demonstrate that flood events like those in 2017 and 2019 were correctly reproduced. The linear regression R2 is above 0.8 for all stations. It was also estimated that the covered river should stay clean to avoid widespread flooding in the urban area. Overall, the model is useful for simulating flow in real time and can help sustain urban development. HIGHLIGHTS Coupled 1D–2D hydraulic models are implemented using DHI MIKEPLUS 2023.; Assessments of operational management, data and flood risks of the Lower Paillons River.; Modelling complex river hydraulics for real-time decision support systems.;

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