Fascicule technique pour la mise en œuvre du suivi "Paramètres Physico-Chimiques & Phytoplancton" du réseau de contrôle de surveillance DCE à La Réunion : Réseau Hydrologique du Littoral Réunionnais

De 2010 à 2012, le projet " Bon Etat : Actualisation de l’état des lieux du SDAGE, volet eaux côtières réunionnaises " (DEAL de La Réunion/Ifremer) a permis la mise en place de 4 groupes de travail DCE experts dont les travaux ont été synthétisés à travers 4 fascicules techniques définissant les conditions de mise en oeuvre des différents suivis du réseau de contrôle de la surveillance (RCS) DCE en milieu marin à la Réunion. Une première version du fascicule "Physico-chimie & phytoplancton", a été produite en 2012 et validée au niveau national par les référents DCE (Coordination "phytoplancton", Coordination "hydrologie", Coordination nationale DCE milieu Marin, responsable projet Quadrige). Une mise à jour a été proposée en 2015 (Office de l'eau Réunion/Ifremer) dans la double perspective des recommandations du GT DCE de la Réunion et des nouvelles campagnes de suivi du "Réseau Hydrologique du Littoral Réunionnais - RHLR". Ce fascicule a vocation à constituer le support technique des méthodes et des référentiels pour la réalisation du suivi "RHLR" du RCS DCE à La Réunion. Il précise les protocoles de prélèvement, d’analyse, de bancarisation, de synthèse et de diffusion des données. Il présente également les indicateurs associés aux différents éléments de qualité, adaptés à La Réunion

PIV measurements combined with the motion tracking technique to analyze flow around a moving porous structure

To gain a better understanding of the fluid–structure interaction and especially when dealing with a flow around an arbitrarily moving body, it is essential to develop measurement tools enabling the instantaneous detection of moving deformable interface during the flow measurements. A particularly useful application is the determination of unsteady turbulent flow velocity field around a moving porous fishing net structure which is of great interest for selectivity and also for the numerical code validation which needs a realistic database. To do this, a representative piece of fishing net structure is used to investigate both the Turbulent Boundary Layer (TBL) developing over the horizontal porous moving fishing net structure and the turbulent flow passing through the moving porous structure. For such an investigation, Time Resolved PIV measurements are carried out and combined with a motion tracking technique allowing the measurement of the instantaneous motion of the deformable fishing net during PIV measurements. Once the two-dimensional motion of the porous structure is accessed, PIV velocity measurements are analyzed in connection with the detected motion. Finally, the TBL is characterized and the effect of the structure motion on the volumetric flow rate passing though the moving porous structure is clearly demonstrated.

Age estimation in common sole Solea solea larvae: validation of daily increments and evaluation of a pattern recognition technique

Close similarities have been found between the otoliths of sea-caught and laboratory-reared larvae of the common sole Solea solea (L.), given appropriate temperatures and nourishment of the latter. But from hatching to mouth formation. and during metamorphosis, sole otoliths have proven difficult to read because the increments may be less regular and low contrast. In this study, the growth increments in otoliths of larvae reared at 12 degrees C were counted by light microscopy to test the hypothesis of daily deposition, with some results verified using scanning electron microscopy (SEM), and by image analysis in order to compare the reliability of the 2 methods in age estimation. Age was first estimated (in days posthatch) from light micrographs of whole mounted otoliths. Counts were initiated from the increment formed at the time of month opening (Day 4). The average incremental deposition rate was consistent with the daily hypothesis. However, the light-micrograph readings tended to underestimate the mean ages of the larvae. Errors were probably associated with the low-contrast increments: those deposited after the mouth formation during the transition to first feeding, and those deposited from the onset of eye migration (about 20 d posthatch) during metamorphosis. SEM failed to resolve these low-contrast areas accurately because of poor etching. A method using image analysis was applied to a subsample of micrograph-counted otoliths. The image analysis was supported by an algorithm of pattern recognition (Growth Demodulation Algorithm, GDA). On each otolith, the GDA method integrated the growth pattern of these larval otoliths to averaged data from different radial profiles, in order to demodulate the exponential trend of the signal before spectral analysis (Fast Fourier Transformation, FFT). This second method both allowed more precise designation of increments, particularly for low-contrast areas, and more accurate readings but increased error in mean age estimation. The variability is probably due to a still rough perception of otolith increments by the GDA method, counting being achieved through a theoretical exponential pattern and mean estimates being given by FFT. Although this error variability was greater than expected, the method provides for improvement in both speed and accuracy in otolith readings.