Une façon d’indiquer la «non-coïncidence entre les mots et les choses», on va dire…

Nous souhaitons nous pencher ici sur un emploi particulier de la périphrase en aller + infinitif qui n’a fait l’objet – à notre connaissance – que d’un article (Lansari 2010). Cet emploi « modalisant » que Lansari limite à la formule 'on va dire' mériterait d’être approfondi pour plusieurs raisons. D’une part, l’emploi n’est décrit que sur base de « vingt exemples tirés d’internet, de blogs ou de forums » (Lansari 2010: 120) alors que, de l’aveu de Lansari elle-même, l’emploi relève de l’oral. Il serait donc utile d’enrichir – quantitativement et qualitativement - le corpus et d’y intégrer des occurrences d’oral authentique. D’autre part, Lansari restreint l’emploi modalisant à la séquence 'on va dire' ; on pourrait s’interroger sur la capacité de séquences comme 'je vais dire' à remplir les mêmes fonctions discursives. Dans cet article, nous commencerons par un – forcément bref – état de la question. Après avoir présenté le corpus, nous testerons les hypothèses précédemment défendues à la lueur du corpus rassemblé: (a) Le corpus CFPP2000 issu du projet Discours sur la ville. Corpus de Français Parlé Parisien des années 2000 (disponible en ligne à http://cfpp2000.univ-paris3.fr/Corpus.html). CFPP2000 donne la parole à 41 informateurs en 28 interviews (2198 min) et a généré 96 occurrences de on va dire modalisant. (b) Le corpus CLAPI comprenant 45 heures d’interactions interrogeables en ligne à http://clapi.univ-lyon2.fr/analyse_requete_aide.php?menu=outils. On y a relevé 12 exemples de on va dire modalisant. (c) Un corpus personnel d’interviews (163min) réalisées pendant l’année académique 2009-10 auprès de cinq étudiants Erasmus français grâce au soutien d’une bourse de la Délégation Générale à la Langue Française et aux Langues de France (DGLFLF). Les entretiens avec une assistante de recherche, basés sur les thèmes suivants, étaient supposés générer l’emploi d’une variété de temps verbaux : - Récits de rêve (imparfait) - Récits biographiques (personnage historique vs autobiographie) (PC vs PS) - Narration de film vs d’épisode historique (PC/ PRES vs PS) - Présentation de projets d’avenir vs conjectures (Futur périphrastique ou simple) Le corpus contient dix-sept occurrences de on va dire générés par deux des cinq informateurs : 15 par A. et 2 par J. Notre réflexion se basera donc sur 125 occurrences orales de 'on va dire'.

Predicting the effect of mixing on oxygen transfer and nutrient removal in activated sludge basins

Activated sludge basins (ASBs) are a key-step in wastewater treatment processes that are used to eliminate biodegradable pollution from the water discharged to the natural environment. Bacteria found in the activated sludge consume and assimilate nutrients such as carbon, nitrogen and phosphorous under specific environmental conditions. However, applying the appropriate agitation and aeration regimes to supply the environmental conditions to promote the growth of the bacteria is not easy. The agitation and aeration regimes that are applied to activated sludge basins have a strong influence on the efficacy of wastewater treatment processes. The major aims of agitation by submersible mixers are to improve the contact between biomass and wastewater and the prevention of biomass settling. They induce a horizontal flow in the oxidation ditch, which can be quantified by the mean horizontal velocity. Mean values of 0.3-0.35 m s-1 are recommended as a design criteria to ensure best conditions for mixing and aeration (Da Silva, 1994). To give circulation velocities of this order of magnitude, the positioning and types of mixers are chosen from the plant constructors' experience and the suppliers' data for the impellers. Some case studies of existing plants have shown that measured velocities were not in the range that was specified in the plant design. This illustrates that there is still a need for design and diagnosis approach to improve process reliability by eliminating or reducing the number of short circuits, dead zones, zones of inefficient mixing and poor aeration. The objective of the aeration is to facilitate the quick degradation of pollutants by bacterial growth. To achieve these objectives a wastewater treatment plant must be adequately aerated; thus resulting in 60-80% of all energetic consummation being dedicated to the aeration alone (Juspin and Vasel, 2000). An earlier study (Gillot et al., 1997) has illustrated the influence that hydrodynamics have on the aeration performance as measure by the oxygen transfer coefficient. Therefore, optimising the agitation and aeration systems can enhance the oxygen transfer coefficient and consequently reduce the operating costs of the wastewater treatment plant. It is critically important to correctly estimate the mass transfer coefficient as any errors could result in the simulations of biological activity not being physically representative. Therefore, the transfer process was rigorously examined in several different types of process equipment to determine the impact that different hydrodynamic regimes and liquid-side film transfer coefficients have on the gas phase and the mass transfer of oxygen. To model the biological activity occurring in ASBs, several generic biochemical reaction models have been developed to characterise different biochemical reaction processes that are known as Activated Sludge Models, ASM (Henze et al., 2000). The ASM1 protocol was selected to characterise the impact of aeration on the bacteria consuming and assimilating ammonia and nitrate in the wastewater. However, one drawback of ASM protocols is that the hydrodynamics are assumed to be uniform by the use of perfectly mixed, plug flow reactors or as a number of perfectly mixed reactors in series. This makes it very difficult to identify the influence of mixing and aeration on oxygen mass transfer and biological activity. Therefore, to account for the impact of local gas-liquid mixing regime on the biochemical activity Computational Fluid Dynamics (CFD) was used by applying the individual ASM1 reaction equations as the source terms to a number of scalar equations. Thus, the application of ASM1 to CFD (FLUENT) enabled the investigation of the oxygen transfer efficiency and the carbon & nitrogen biological removal in pilot (7.5 cubic metres) and plant scale (6000 cubic metres) ASBs. Both studies have been used to validate the effect that the hydrodynamic regime has on oxygen mass transfer (the circulation velocity and mass transfer coefficient) and the effect that this had on the biological activity on pollutants such as ammonia and nitrate (Cartland Glover et al., 2005). The work presented here is one part to of an overall approach for improving the understanding of ASBs and the impact that they have in terms of the hydraulic and biological performance on the overall wastewater treatment process. References CARTLAND GLOVER G., PRINTEMPS C., ESSEMIANI K., MEINHOLD J., (2005) Modelling of wastewater treatment plants ? How far shall we go with sophisticated modelling tools? 3rd IWA Leading-Edge Conference & Exhibition on Water and Wastewater Treatment Technologies, 6-8 June 2005, Sapporo, Japan DA SILVA G. (1994). Eléments d'optimisation du transfert d'oxygène par fines bulles et agitateur séparé en chenal d'oxydation. PhD Thesis. CEMAGREF Antony ? France. GILLOT S., DERONZIER G., HEDUIT A. (1997). Oxygen transfer under process conditions in an oxidation ditch equipped with fine bubble diffusers and slow speed mixers. WEFTEC, Chicago, USA. HENZE M., GUJER W., MINO T., van LOOSDRECHT M., (2000). Activated Sludge Models ASM1, ASM2, ASM2D and ASM3, Scientific and Technical Report No. 9. IWA Publishing, London, UK. JUSPIN H., VASEL J.-L. (2000). Influence of hydrodynamics on oxygen transfer in the activated sludge process. IWA, Paris - France.