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INTÉGRATION DE DONNÉES GÉOSPATIALES DANS UN MODÈLE HYDROLOGIQUE DISTRIBUÉ POUR LA SIMULATION DES ÉCOULEMENTS DES EAUX EN MILIEU TROPICAL HUMIDE DE CÔTE D'IVOIRE (AFRIQUE DE L'OUEST)

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    ABSTRACT: Following the previous development and application of hydrological simula­ tion models characterized by physiographic, state, input and output varia­ bles spatially distributed according to a square grid information system, and, as such, suitable to the assimilation of remotely sensed data, the authors are now developing a forecasting model. This new model has a modular structure for more flexibility. Moreover, it will be implemented on a microcomputer as a users' friendly interactive package. The initial version of the model will be divided into nine modules: PHYSIOGRAPHY, PRECIPITATION (including snow accumulation and melt), HYDRO­ LOGY (both production and routing functions), EVAPOTRANSPIRATION, FORE­ CAST, OPTIMIZATION, INPUT, OUTPUT and MAIN. The model is again based on a square grid information system whose grid size vary according to basin characteristics and size. It is conceived so as to make a maximum use of remotely sensed data both for the description of the physiographic and land-use characteristics of the basin, and for the input variables, mostly meteorological in nature, without relying necessarily on those for the daily preparation of forecasts. A description of each module is included, as well as of the functioning of the complete model. A few examples of spatially distributed variables similar to those that will be used or produced by the new forecasting model are also shown. These variables, which may already be used or produced by the CEQUEAU model, include land-use data derived from LANDSAT-MSS imagery, precipita­ tion from radar, snow cover distribution from satellite data and model simulation, and finally, actual évapotranspiration from satellite data. Operational use of the model is finally discussed.
    01/1986;
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    ABSTRACT: The principles governing the application of the conceptual model technique to river flow forecasting are discussed. The necessity for a systematic approach to the development and testing of the model is explained and some preliminary ideas suggested.
    Journal of Hydrology. 01/1970;
  • Hydrol. Sci. Bull. 01/1979; 24:43--69.

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May 23, 2014