Objectif : que chacun utilise BDOH pour que les données acquises par Irstea soient sauvegardées de façon pérenne.
Xxx Flora ?xxx
Politique qualité Qualité pour la mesure et l’observation
A compléter avec :
Gaëlle Tallec pour Oracle
Guillaume Dramais pour l’équipe métrologie
Céline Berni pour le laboratoire d’hydraulique
Patrick Arnaud pour le Réal Collobrier
Réseau mesure
Qualité en recherche
La politique qualité est historiquement très liée à la mesure mais elle ne doit pas s’y limiter : l'esprit de la démarche qualité peut se mettre au service du processus de recherche dans son ensemble (sans pour autant constituer un carcan nuisant à la liberté et à l'imagination des chercheurs). Cela pourrait prendre diverses formes : méthodes pour « clore les dossiers », pour consolider et partager les savoir-faire, etc.
xxx
Références
Alletto, L., Coquet, Y., Benoit, P., Heddadj, D., Barriuso, E., 2010. Tillage management effects on pesticide fate in soils. A review. Agronomy for sustainable development, 30: 367-400.
Andréassian, V., Parent, E., Michel, C., 2003. A distribution-free test to detect gradual changes in watershed behavior. Water Resour. Res., 39(9): 1252, doi:10.1029/2003WR002081.
Ginzburg, I., 2005. Equilibrium-type and link-type Lattice Boltzmann models for generic advection and anisotropic-dispersion equation. Advances in Water Resources, 28: 1171-1195.
Jankowfsky, S., 2011. Understanding and modelling of hydrological processes in small peri-urban catchments using an object oriented and modular distributed approach. Application to the Chaudanne and Mercier sub-catchments (Yzeron catchment, France). PhD Thesis, Institut National Polytechnique de Grenoble, Grenoble.
Koren, V., Smith, M., Duan, Q., 2003. Use of a priori parameter estimates in the derivation of spatially consistent parameter sets of rainfall-runoff models. In: Duan, Q., Gupta, H., Sorooshian, S., Rousseau, A., Turcotte, R. (Eds.), Calibration Watershed Models, Water Sci. Appl. 6. AGU, pp. 239- 254.
Lang, M., Renard, B., 2007. Regional analysis on changes in hydrological extremes in France. Houille Blanche-Revue Internationale De L Eau(6): 83-89.
Lin, H., 2010. Linking principles of soil formation and flow regimes. J. Hydrol., 393(1-2): 3-19.
Neppel, L. et al., 2010. Flood frequency analysis using historical data: accounting for random and systematic errors. Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, 55(2): 192-208.
Oreskes, N., Conway, E.M., 2010. Merchants of doubt: How a handful of scientists obscured the truth on issues from tobacco smoke to global warming. Bloomsbury, London, 355 pp.
Oudin, L., Andréassian, V., Perrin, C., Michel, C., Le Moine, N., 2008. Spatial proximity, physical similarity, regression and ungaged catchments: a comparison of regionalization approaches based on 913 French catchments. Water Resour. Res., 44: W03413, doi:10.1029/2007WR006240.
Oudin, L., Kay, A., Andréassian, V., Perrin, C., 2010. Are seemingly physically similar catchments truly hydrologically similar? Water Resour. Res., 46: W11558, doi:10.1029/2009WR008887.
Payan, J.L., Perrin, C., Michel, C., Andréassian, V., 2007. Can we account for man-made reservoirs in a lumped rainfall-runoff model? Water Resour. Res.(submitted).
Peltier, Y., 2011. Modélisation expérimentale d’écoulements débordants en présence d’un obstacle placé sur la plaine d’inondation. PhD Thesis, Université Claude Bernard, Lyon.
Perrin, C., Michel, C., Andréassian, V., 2001. Long-term low flow forecasting for French rivers by continuous rainfall-runoff modelling. Meeting of the British Hydrological Society on Continuous River Flow Simulation, Wallingford, UK, 5th July 2001, BHS Occasional Paper (13): 21-29.
Pilkey, O.H., Pilkey-Jarvis, L., 2007. Useless arithmetic: why environmental scientists can’t predict the future. Columbia University Press, New York, 230 pp.
Renard, B., Garreta, V., Lang, M., 2006. An application of Bayesian analysis and Markov chain Monte Carlo methods to the estimation of a regional trend in annual maxima. Water Resour. Res., 42(12).
Renard, B., Kavetski, D., Leblois, E., Thyer, M., Kuczera, G., 2011. Towards a reliable decomposition of predictive uncertainty in hydrological modelling : characterizing rainfall errors using conditional simulation. Water Resour. Res.: doi:10.1029/2011WR010643.
Renard, B. et al., 2008. Regional methods for trend detection: Assessing field significance and regional consistency. Water Resour. Res., 44(8).
Rojas-Serna, C., 2005. Quelle connaissance hydrométrique minimale pour définir les paramètres d’un modèle pluie-débit ? PhD Thesis, ENGREF-Cemagref, Paris, 322 pp.
Rojas Serna, C., Michel, C., Perrin, C., Andréassian, V., 2006. Ungaged catchments: How to make the most of a few streamflow measurements? In: Andréassian, V., Hall, A., Chahinian, N., Perrin, C., Schaake, J. (Eds.), Large sample basin experiments for hydrological model parameterisation. Results of the MOdel Parameter Experiment (MOPEX). IAHS, Wallingford.
Sauquet, E., Catalogne, C., 2011. Comparison of catchment grouping methods for flow duration curve estimation at ungauged sites in France. Hydrology and Earth System Sciences, 15: 2421-2435.
Sauquet, E., Gottschalk, L., Krasovskaia, I., 2008. Estimating mean monthly runoff at ungauged locations: an application to France. Hydrology Research, 39(5-6): 403-423.
Schmocker-Fackel, P., Naef, F., Scherrer, S., 2007. Identifying runoff processes on the plot and catchment scale. Hydrology and Earth System Sciences, 11: 891-906.
Snelder, T. et al., 2009. Predictive mapping of natural flow regimes of France. J. Hydrol., 373: 57-67.
Tlili, A., Dorigo, U., 2008. Responses of chronically contaminated biofilms to short pulses of diuron. An experimental study simulating flooding events in a small river. Aquatic Toxicology, 87: 252-263.
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