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Environmental Modeling & Assessment

, Volume 22, Issue 4, pp 309–322 | Cite as

Performance Assessment of a 3D Hydrodynamic Model Using High Temporal Resolution Measurements in a Shallow Urban Lake

  • Frédéric SoulignacEmail author
  • Brigitte Vinçon-Leite
  • Bruno J. Lemaire
  • José R. Scarati Martins
  • Céline Bonhomme
  • Philippe Dubois
  • Yacine Mezemate
  • Ioulia Tchiguirinskaia
  • Daniel Schertzer
  • Bruno Tassin
Article

Abstract

Urban lakes provide many ecosystem services, e.g., flood control, nature protection, coolness island, recreation. Hydrodynamic models will increasingly be used to enhance these benefits. We present the first validation of a three-dimensional (3D) hydrodynamic model on a small shallow lake with high resolution and high frequency measurements. Lake Créteil, France (area 0.4 km2, mean depth 4.5 m, and catchment area 1 km2) is a former gravel pit and now part of a regional park. The model Delft3D-FLOW was calibrated on a one-month period, with continuous measurements of temperature at five depths at the center of the lake and at three depths at two other stations, and with current speed profiles at the centre of the lake. The model was then verified on 18 1-month periods with similar temperature measurements. The model reproduced very well the temperature dynamics, including the alternation between mixing and stratification periods and internal wave patterns. The mean absolute errors over the five depths at the central point remained below 0.55C in spring and summer, the most favorable seasons for phytoplankton growth. Horizontal temperature differences, which rose up to 3C at the beginning of stratification periods, were also well reproduced, as well as current speeds. These results are very promising for assessing nutrient and pollutant diffusion, settling and resuspension, as well as for understanding how phytoplankton blooms start in small shallow lakes.

Keywords

Three-dimensional hydrodynamic model Model calibration High frequency measurements Shallow lake 

Notes

Acknowledgements

The research presented in this paper was funded by grants from École des Ponts ParisTech, Région Île-de-France (research project PLUMMME), the Climate KIC (Blue Green Dream project), École doctorale SIE (Université Paris-Est). We acknowledge the French National Research Agency (ANR, research project PULSE) and the OSU EFLUVE for equiment funding. We also acknowledge the nke team for the sensor technical assistance and Département du Val de Marne, Ville de Créteil and Base de loisirs du lac de Créteil for their logical support in the field campaigns. The University of São Paulo (Brazil) supported the sabbatical stay of José R. Scarati Martins at Leesu/École des Ponts ParisTech. Finally we would like to thank Rob Uittenbogaard (DELTARES) and Frans Van de Ven (TU Delft) for fruitful discussions.

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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Frédéric Soulignac
    • 1
    Email author
  • Brigitte Vinçon-Leite
    • 1
  • Bruno J. Lemaire
    • 1
  • José R. Scarati Martins
    • 1
    • 2
  • Céline Bonhomme
    • 1
  • Philippe Dubois
    • 1
  • Yacine Mezemate
    • 1
  • Ioulia Tchiguirinskaia
    • 1
  • Daniel Schertzer
    • 1
  • Bruno Tassin
    • 1
  1. 1.LEESU, UMR MA 102, École des PontsAgroParisTech, UPEC, UPEChamps-sur-MarneFrance
  2. 2.School of EngineeringUniversity of Sao PauloSao PauloBrazil

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