Statistique des extremes dans les bassins fiablement jaugés : application d'un modèle global pluie-débit à quatre bassins versants en Ouest de l 'Algérie

Abstract

Hydrological modeling has become an essential means for decision support for good management of water resources, especially in the presence of climate change scenario.There are many ways such as: physical modeling, conceptual modeling and stochastic modeling. To achieve good modeling, observed data series of rainfall and flow rates are required. We will use the PDM models (Probability Distributed Madel) offers by Moore (1985). This model is part of the third group of models cited above. lt needs the knowledge of the catchment area as the only physical characteristic. The principle suggests that the flood hydrograph resulting from a rainfall event is a representation of the concentration time probability function on the catchment. lt has been applied by many researchers such as: Borga and al (1997) and Degree and al.. (2008). The abject of this study is to validate the PDM model in four catchments in the North-West region of Algeria. Tapies will determine low frequency of occurrence projects rates. We will also even if the RS-PDM © code will be able to simulate the flow time for the adjustment of a statute on the annual extrema maximum flows for forecasting flood return period of 20 years or more, for a catchment with the poorly gauged.