3 resultados para analyses statistiques multi-niveaux

em Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer


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La campagne PELGAS participe à la gestion du stock d’anchois du Golfe de Gascogne, en réalisant une évaluation directe à la mer de la biomasse d’anchois. Pour déterminer la biomasse totale, des appareils acoustiques envoyant des ultra-sons dans l’eau pour détecter les bancs de poisson sont utilisés. Ensuite des pêches sont effectuées sur les zones détectées pour déterminer la composition des bancs (espèces, poids, longueurs…). En parallèle, les oeufs d’anchois sont comptés. A partir des données récoltées de 2000 à 2015, j’ai pu réaliser des cartes de distribution spatiale des anchois et de leurs oeufs, ainsi que des analyses statistiques afin de comprendre les différences de distribution entre les deux. Il s’avère que les oeufs sont plus au large que les anchois, ce qui est dû à une question de poids moyen et de fécondité. Les anchois les plus gros seraient plus féconds et se localisent plus au large, d’où la répartition des oeufs plus éloignées des côtes que la biomasse totale d’anchois. La fécondité et le poids des anchois font parties des paramètres qui ont une influence sur la distribution des oeufs.

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The objective of the study is to identify the 3D behaviour of an adhesive in an assembly, and to take into account the effect of ageing in a marine environment. To that end, three different tests were employed. Gravimetric analyses were used to determine the water diffusion kinetics in the adhesive. Bulk tensile tests were performed to highlight the effects of humid ageing on the adhesive behaviour. Modified Arcan tests were performed for several ageing times to obtain the experimental database which was necessary to identify constitutive models. A Mahnken-Schlimmer type model was determined for the unaged state according to a procedure developed in a previous study. This identification used inverse techniques. It was based on the unaged modified Arcan results and on a coupling between an optimisation routine and finite-element analysis. Then, a global inverse identification procedure was developed. Its aim was to relate the unaged parameters to the moisture concentration and overcome the difficulties usually associated with ageing of bonded assemblies in a humid environment: a non-uniformity of the stress state and a gradient of mechanical properties in the adhesive. This procedure was similar to the one used in the first part but needed modified Arcan results for several ageing times. It also required an initial assumption for the evolution of the Mahnken-Schlimmer parameters with the moisture concentration.

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A general framework for an ecological model of the English Channel was described in the first of this pair of papers. In this study, it was used to investigate the sensitivity of the model to various factors: model structure, parameter values, boundary conditions and forcing variables. These sensitivity analyses show how important quota formulation for phytoplankton growth is, particularly for growth of dinoflagellates. They also stress the major influence of variables and parameters related to nitrogen. The role played by rivers and particularly the river Seine was investigated. Their influence on global English Channel phytoplanktonic production seems to be relatively low, even though nutrient inputs determine the intensity of blooms in the Bay of Seine. The geographical position of the river Seine's estuary makes it important in fluxes through the Straits of Dover. Finally, the multi-annual study highlights the general stability of the English Channel ecosystem. These global considerations are discussed and further improvements to the model are proposed.