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Proceedings of the International Association of Hydrological Sciences An open-access publication for refereed proceedings in hydrology
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Volume 364
Proc. IAHS, 364, 64–69, 2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Proc. IAHS, 364, 64–69, 2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

  16 Sep 2014

16 Sep 2014

Estimation of hydrological response of a small Mediterranean watershed to fire by data analysis and a modelling approach

L. Lebedeva1,4, O. Semenova2,3,4, and N. Folton5 L. Lebedeva et al.
  • 1Nansen Environmental and Remote Sensing Centre, 14 Line VO, 7, 199034 St. Petersburg, Russia
  • 2GidrotehproektLtd., Toreza pr. 44, St. Petersburg, Russia
  • 3St. Petersburg State University, Universitetskaya nab 7–9, St. Petersburg, Russia
  • 4Hydrograph model Research Group, St. Petersburg, Russia
  • 5National Research Institute of Science and Technology for Environment and Agriculture (Irstea), Hydrology Research Unit Aix-en-Provence, 3275 route Cézanne CS 40061, 13182 Aix-en-Provence, France

Keywords: flood, modelling, fire, non-stationary, Hydrograph model

Abstract. Data analysis and amodelling approach were used to detect the changes in hydrological regime in the Rimbaud watershed (France) after the fire in 1990. It was revealed that the increase of peak discharges was only observed during three years after the fire in the wet period of the year, at an hourly time scale. The Hydrograph model was applied for continuous runoff simulations at an hourly time step for the period 1967–2004. The parameters assessed for pre-fire conditions and used without change for the post-fire period satisfactorily fit the whole period of simulations with mean Nash-Sutcliffe efficiency 0.52. The set of model parameters representing the post-fire conditions of changing environment was developed. Based on newly estimated parameters, the efficiency of simulations of selected outstanding flood peaks was improved. However, overall model representation for the post-fire period (1990–1992) has declined. It is concluded that discernible fire impact is only localized on separate floods events and that it has a nonlinear character.

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