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              <p>In this chapter some results obtained by the various research teams involved in FRIEND project, as regards flood hydrology, are described. Lang shows some details about a new progressive option and confidence interval of the quantiles for the AGREGEE model. Blazkova et al. validate the AGREGE approach using the frequency version of TOPMODEL within the Generalized Likelihood Uncertainty Estimation (GLUE) framework through synthetic generation of flood peaks. Mkhandi summarises some results of the analysis of flood statistics and frequency growth curves derived for the countries of the southern Africa. Versace and Ferrari deal with a regional flood frequency approach based on a modified index flood method. Oancéa et al. show the results of the analysis of the synthetic hydrograph computing methods performed using the Synthetic Mono-Frequency Hydrograph method, as a part of the INONDABILITE model, and a Romanian hydrological service method (NIMH). Vukmirovic and Petrovic review the theorical background of the classical distributions used for the analysis of the number of POT (Poisson, Bernoulli) and of peak exceedance (exponential, Weibull) combined to obtain distribution functions of peak flow. Stanescu describes the large floods of the recent past in Europe paying attention separately to large basins, particularly to Danube and Rheno rivers, medium size basins and flash floods. Ferrer and Ardiles provice some deepenings around the modified rational method, particularly suitable for use in regional hydrology and its implementation in geographic information system environments.</p>
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              <p>Dans ce chapitre, sont décrits quelques uns des résultats obtenus par diverses équipes de FRIEND autour de ces problèmes d'hydrologie des crues. Lang donne quelques détails sur une nouvelle option progressive et sur les intervalles de confiance des quantiles dans le modèle AGREGEE. Blazkova et al. valident l'approche AGREGEE en exploitant les simulations de pointes de crues sous procédure GLUE (estimation des incertitudes via un maximum de vraisemblance généralisé) de la variante dite statistique de TOPMODEL. Mkhandi résume quelques résultats d'analyses statistiques et de coefficients de croissances de crues, pour les pays d'Afrique australe. Versace et Ferrari traitent d'une approche régionale de fréquences de crues basée sur une méthode d'index de crue adaptée. Oancéa et al. montrent les résultats issus de l'analyse comparée d'hydrogrammes synthétiques telle qu'elle existe dans le modèle INONDABILITE ou dans une procédure de l'Institut d'hydrologie (INMH) roumain. Vumkirovic et Petrovic reprennent les bases théoriques des distributions les plus classiquement utilisées pour les nombres de valeurs supérieures à un seuil (Poisson et Bernoulli) et les volumes de dépassement (exponetille, Weibull), combinée pour avoir des distributions de pointes de crues. Stanescu décrit les grandes crues les plus récentes en Europe, en distinguant les grands bassins (Danube, Rhin) des moyens et de ceux à crues éclairs. Ferrer et Ardiles fournissent quelques approfondissements autour d'une méthode rationnelle modifiée (MRM), particulièrement adaptée à un usage régional et à une implantation sous un environnement de type SIG.</p>
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