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Resumen de Desenvolupament d'un model hidrològic per incorporar informació del radar meteorològic. Aplicació operacional a la conca del riu besós

Carles Corral Alexandri

  • Floods are the most important natural hazard in the Mediterranean area.

    In spite of the efforts made in the Spanish state, and particularly in Catalunya region, in improving telemetered hydrological systems to monitor these risk situations (SAIH systems, weather radar networks), the application of a rainfall-runoff model to help decision making is still in a incipient phase. Moreover, the use of radar information inside a hydrological purpose is still doing the first steps. This thesis seeks to be a contribution in this sense, and with the aim that the model could be used in the water agencies, a rainfall-runoff model adapted to operational requirements is proposed, with enough elasticity to provide forecasts in different points over the catchment, and particularly conceived to take profit of weather radar information. It is a conceptual grid-distributed model, based on the division of the catchment in several smaller units (hydrological cells), where a spatially variable rainfall field is introduced. The Besòs catchment provides the data base to test the model, to see the limitations, to propose improvements and to evaluate the model under an operational perspective.

    In the first part of the thesis, and preceded by a state of art in flood hydrological modelling, the proposed hydrological model is described. The second part is focused on the analysis of the model in the Besòs catchment: the fit of the model obtaining the parameter set from comparison against observed discharges in different level gauges, and different improvements in the model structure are evaluated. The third part is devoted to the operational application of the model: first, the radar information is evaluated as an input to the hydrological model, and subsequently the operational experiences developed during this work are described.

    The results have shown that the model has a reasonable behaviour, although some improvements must be done in the future in order to be


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