16 research outputs found
Interactive comment on “Understanding groundwater/surface-water interactions through hydropedological interpretation of soil distribution patterns” by Johan van Tol.
A Multi-Model Multi-Scale Approach to Estimate the Impact of the 2007 Large-Scale Forest Fires in Peloponnese, Greece
The hydrological impact of large-scale forest fires in a large basin is investigated on both a daily and an hourly basis. A basin of 877 km2 was chosen, with 37% of its area having been burnt in the summer of 2007. Five models are employed, namely SWAT (semi-distributed), GR4J, GR5J, and GR6J (lumped) for the daily time step, and HEC-HMS (semi-distributed) for the hourly time step. As SWAT and HEC-HMS implement the SCS-CN method, the change in the Curve Number (CN) from pre-fire to post-fire conditions is estimated along with the post-fire trend of CN for both time steps. Regarding the daily time step, a 20% post-fire increase in CN proved necessary for the accurate streamflow prediction, whereas ignoring this led to an underestimation of 22% on average. On an hourly time basis, CN was 95 for burnt areas after the fire, with a mildly decreasing trend after the third year and still above 90 until the fifth year. When neglecting this, peak flow is seriously underestimated (35–70%). The post-fire trend lines of CN for the two-time steps showed statistically equal slopes. Finally, GR models accurately predicted runoff while constraining one model parameter, which proved useful for the realistic prediction of other variables
Erratum for “Friction Modeling of Flood Flow Simulations” by Vasilis Bellos, Ioannis Nalbantis, and George Tsakiris
Towards a comprehensive framework for the assessment of groundwater drought in temperate regions
GroWaDRIS
Closure to “Friction Modeling of Flood Flow Simulations” by Vasilis Bellos, Ioannis Nalbantis, and George Tsakiris
Identification des modeles pluie-debit du type hydrogramme unitaire. Developpements de la methode DPFT et validation sur donnees simulees avec et sans erreur
SIGLECNRS T Bordereau / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc
