112 results on '"Le Coz, J"'
Search Results
2. Diagnostic evaluation and management of seizures and status epilepticus in children with known epilepsy or new-onset seizures: A retrospective and comparative analysis
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Le Coz, J., Chéron, G., Nabbout, R., Patteau, G., Heilbronner, C., Hubert, P., Renolleau, S., and Oualha, M.
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- 2020
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3. Reactivity of particulate element concentrations: apportionment assessment of suspended particulate matter sources in the Upper Rhône River, France
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Dabrin, A., Bégorre, C., Bretier, M., Dugué, V., Masson, M., Le Bescond, C., Le Coz, J., and Coquery, M.
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- 2021
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4. Quantifying and Reducing the Operator Effect in LSPIV Discharge Measurements.
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Bodart, G., Le Coz, J., Jodeau, M., and Hauet, A.
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STREAM measurements ,MEASUREMENT errors ,PARTICLE image velocimetry ,VELOCITY measurements ,VIDEO processing - Abstract
Operator choices, both in acquiring the video and data and in processing them, can be a prominent source of error in image‐based velocimetry methods applied to river discharge measurements. The Large Scale Particle Image Velocimetry (LSPIV) is known to be sensitive to the parameters and computation choices set by the user, but no systematic comparisons with discharge references or intercomparisons have been conducted yet to evaluate this operator effect in LSPIV. In this paper, an analysis of a video gauging intercomparison, the Video Globe Challenge 2020, is proposed to evaluate such operator effect. The analysis is based on the gauging reports of the 15 to 23 participants using the Fudaa‐LSPIV software and intents to identify the most sensitive parameters for the eight videos. The analysis highlighted the significant impact of the time interval, the grid points and the filters on the LSPIV discharge measurements. These parameters are often inter‐dependent and should be correctly set together to strongly reduce the discharge errors. Based on the results, several automated tools were proposed to reduce the operator effect. These tools consist of several parameter assistants to automatically set the orthorectification resolution, the grid and the time interval, and of a sequence of systematic and automatic filters to ensure reliable velocity measurements used for discharge estimation. The application of the assisted LSPIV workflow using the proposed tools leads to significant improvements of the discharge measurements with strong reductions of the inter‐participant variability. On the eight videos, the mean interquartile range of the discharge errors is reduced from 17% to 5% and the mean discharge bias is reduced from −9% to 1% with the assisted LSPIV workflow. The remaining inter‐participant variability is mainly due to the user‐defined surface velocity coefficient α. Key Points: Video‐based river discharge measurements are sensitive to both measuring conditions and user‐defined parameters and optionsThe sensitivity of Large Scale Particle Image Velocimetry discharge computations to operator choices is quantified through a video streamgauging intercomparisonProposed automatic settings and spurious velocity filters efficiently reduce discharge biases and inter‐operator variability [ABSTRACT FROM AUTHOR]
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- 2024
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5. Comparing Field, Probabilistic, and 2D Numerical Approaches to Assess Gravel Mobility in a Gravel‐Bed River.
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Arnaud, F., Paquier, A., Vázquez‐Tarrío, D., Camenen, B., Le Coz, J., Michel, K., Naudet, G., Pella, H., and Piégay, H.
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GRAVEL ,DISTRIBUTION (Probability theory) ,SEDIMENT transport ,PARTICLE tracks (Nuclear physics) ,BED load ,PROBABILISTIC number theory - Abstract
Sediment transport is a key process that affects the morphology and ecological habitat diversity of rivers. As part of a gravel augmentation program to mitigate sediment deficit below a dam, gravel mobility in the Ain River in Eastern France was investigated by tracking of a large amount (n = 1,063) of PIT‐tagged gravels in the field, conducting a probabilistic approach based on published tracer studies, and performing two‐dimensional (2D) numerical modeling of flow and bedload transport. This comparative study highlights the strengths, weaknesses, and complementary aspects of the three approaches to the understanding of river gravel mobility. Thanks to recent technological improvements, PIT‐tagged gravels provide an increasingly reliable and accurate representation of bedload movement in the field, although it remains limited in spatio‐temporal resolution. Based on an exponential distribution, the probabilistic approach correctly reproduces the average trend in travel distances by the different classes of particles over hydrological periods, including one or several significant floods. Furthermore, the 2D numerical modeling accounts for the variability of local hydrodynamic conditions and can simulate realistic displacement distributions for the different classes of particles with high spatio‐temporal resolution. Numerical modeling is a very encouraging approach, which makes our study original because it is the first time that the estimation of mean travel distances, the application of an exponential distribution, and the comparison with a hydrodynamic model are combined. A more effective modeling strategy involves incorporating a probabilistic transport model in the 2D numerical model to reproduce the observed scatter of the individual particle trajectories. Key Points: PIT‐tagged gravels are used to track gravel mobility in the restored Ain RiverThe results of field tracer surveys are compared with probabilistic and two‐dimensional numerical modelingThe three approaches are found to be meaningful and complementary [ABSTRACT FROM AUTHOR]
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- 2023
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6. Combining hydraulic knowledge and uncertain gaugings in the estimation of hydrometric rating curves: A Bayesian approach
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Le Coz, J., Renard, B., Bonnifait, L., Branger, F., and Le Boursicaud, R.
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- 2014
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7. A framework for detecting stage-discharge hysteresis due to flow unsteadiness: Application to France’s national hydrometry network
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Perret, E., Lang, M., and Le Coz, J.
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- 2022
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8. On the Use of Horizontal-ADCPs for Sediment Flux Measurements in Rivers
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Moore, S A, Le Coz, J, Hurther, D, Paquier, A, and Proceedings of the 34th World Congress of the International Association for Hydro-Environment Research and Engineering: 33rd Hydrology and Water Resources Symposium and 10th Conference on Hydraulics in Water Engineering
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- 2011
9. 2DH Modelling of a Reservoir Flushing Compared with LSPIV Measurements
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Camenen, B, Paquier, A, Bouarab, A, Le Coz, J, Dramais, G, De Linares, M, and Proceedings of the 34th World Congress of the International Association for Hydro-Environment Research and Engineering: 33rd Hydrology and Water Resources Symposium and 10th Conference on Hydraulics in Water Engineering
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- 2011
10. Synthetic River Flow Videos for Evaluating Image‐Based Velocimetry Methods.
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Bodart, G., Le Coz, J., Jodeau, M., and Hauet, A.
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STREAMFLOW ,DOPPLER velocimetry ,STREAM measurements ,VELOCIMETRY ,RIPARIAN areas ,VELOCITY measurements ,RIVER channels - Abstract
Various image‐based velocimetry methods have been developed and increasingly used for surface velocity and discharge measurements in rivers. Their evaluation is challenging as in situ comparisons are limited and affected by uncertainties, and synthetic flow images used to test laboratory velocimetry methods are not representative of outdoor applications. A novel method is proposed to generate synthetic river flow videos with known surface velocities. The method is based on open‐source computer graphics tools: Blender and Mantaflow. The synthetic videos represent realistic situations where the scene configuration, for example, riverbed and riparian areas, water aspect, camera location and orientation or lighting can be easily modified. Two cases studies emphasize the strengths and the limitations of the proposed method. The synthetic datasets generated will allow the improvement of different image‐based velocimetry methods, notably through collaborative evaluations or intercomparisons. Key Points: An original method is proposed to generate synthetic videos of realistic river flow scenes with spatially‐distributed velocity referenceThe synthetic videos are more suited than available datasets to study environmental error sources of outdoor image‐based surface velocimetryThe strengths and limitations of the method are illustrated through case studies [ABSTRACT FROM AUTHOR]
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- 2022
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11. Performance of image-based velocimetry (LSPIV) applied to flash-flood discharge measurements in Mediterranean rivers
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Le Coz, J., Hauet, A., Pierrefeu, G., Dramais, G., and Camenen, B.
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- 2010
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12. Development of a Three Dimensional Model of Wall Fuel Liquid Film for Internal Combustion Engines
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Foucart, H., Habchi, C., Le Coz, J. F., and Baritaud, T.
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- 1998
13. River Flow 2020 Estimation of the transverse mixing coefficients in shallow gravel-bedded rivers
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Gond, L., Mignot, Emmanuel, Le Coz, J., Kateb, L., CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire) (CEA-DES (ex-DEN)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), IAHR (International Association for Hydro-Environment Engineering and Research), Laboratoire de Mecanique des Fluides et d'Acoustique (LMFA), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), and RiverLy - Fonctionnement des hydrosystèmes (RiverLy)
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River ,[PHYS.NUCL]Physics [physics]/Nuclear Theory [nucl-th] ,mixing ,[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex] - Abstract
International audience; Transverse mixing coefficients are key parameters for predicting pollutant dispersion in rivers. While most studies deal with river reaches considered homogeneous, the literature review indi-cates that shallow, gravel-bedded rivers with a longitudinally-varied bed morphology are still poorly documented. The motivation of the present work is that the transverse mixing coeffi-cient in rivers with varied hydraulic parameters could be estimated with a succession of coeffi-cients of more homogeneous sub-reaches. This work applies a 1D-diffusion model to estimate these local transverse mixing coefficients from several local injections. Slug injections of Rho-damine WT are performed at various locations of the Durance River, France. Cross-profiles of tracer concentration at selected cross-sections delineating as homogeneous as possible sub-reaches are measured using fluorometers located near the bed. In addition, hydraulic data are derived from ADCP measurements. Best-fitting solutions of the 1D-diffusion model against the measurements suggest substantial variations of the transverse mixing coefficient between con-secutive sub-reaches.
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- 2020
14. Mixing in rivers under complex conditions
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Gond, L, Mignot, E, Le Coz, J, Kateb, L, CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire) (CEA-DES (ex-DEN)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Laboratoire de Mecanique des Fluides et d'Acoustique (LMFA), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Société Hydrotechnique de France (SHF) / GIS-HED, and CADARACHE, Bibliothèque
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[PHYS.NUCL] Physics [physics]/Nuclear Theory [nucl-th] ,[PHYS.NUCL]Physics [physics]/Nuclear Theory [nucl-th] ,[PHYS.NEXP] Physics [physics]/Nuclear Experiment [nucl-ex] ,river ,mixing ,[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex] ,coefficient - Abstract
International audience; Il s'agit de la présentation du protocole expérimental ainsi que de quelques résultats de campagnes de traçages réalisées pendant la première année de thèse de Lorris Gond (campagne sur le Drac (mai 2019) et campagne sur la Durance (sept 2019))
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- 2019
15. Bayesian estimation of streamflow using satellite data and ground discharge measurements
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Le Coz, J., Hangmei, C., Renard, B., Malaterre, P.O., RiverLy (UR Riverly), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Gestion de l'Eau, Acteurs, Usages (UMR G-EAU), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut de Recherche pour le Développement (IRD), IRSTEA LYON UR RIVERLY FRA, and IRSTEA MONTPELLIER UMR G-EAU FRA
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bayesian statistics ,INCERTITUDE ,STATISTIQUE BAYESIENNE ,[SDE]Environmental Sciences ,DONNEE DE SATELLITE ,statistical uncertainty ,JAUGEAGE ,satellite data ,gaging - Abstract
[Departement_IRSTEA]Eaux [ADD1_IRSTEA]Hydrosystèmes et risques naturels; International audience; Several research groups have been developing algorithms to calculate river discharges using satellite measurements only. However, the use of ground measurements is useful to greatly reduce the uncertainties. We have developed and tested an original Bayesian method to estimate streamflow at hydrometric stations using satellite measurements of water surface elevation (stage), width and slope as input data. The tests were conducted using an existing set of synthetic data defined in the context of the future SWOT satellite mission for a range of rivers. Typical sets of ground discharge measurements (1-24 gaugings) were created by sampling these synthetic data and adding measurement errors. We found that the reach-averaged cross-sectional geometry of each site can usually be approximated by a single rectangular, trapezoidal, parabolic or triangular shape, or a combination of two shapes for low and high flows. Based on such cross-sectional shapes, simple stage-width-slope-discharge models can be derived based on the Manning equation for fairly steady and uniform flows. A few gaugings in each flow segment of the model are necessary to estimate the parameters and produce discharge records with acceptable uncertainty. Our results show that it is possible to apply methods used for ground hydrometric stations to virtual stations created by satellite remote sensing throughout large river networks. Fewer ground discharge measurements are required because the satellite provides the water surface width and slope in addition to the stage. The proposed Bayesian approach bridges the gap between traditional ground-based hydrometry and river hydraulics remote sensing, and observational strategy can be optimized based on uncertainty quantification. Figure: Estimates of a parameter of the model: the mean elevation h0 of the Sacramento River bed using 2-24 gaugings. Boxplots show 95% probability intervals and the medians. Prior distribution is shown in white (0 gauging).
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- 2018
16. 124 (PB114) - Defining activity and patient selection of a novel CDK7 inhibitor, GTAEXS-617, through AI-supported primary cancer tissue profiling
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Somlyay, M., Durinikova, E., Besnard, J., Barbeau, O., Le Coz, J., Senekowitsch, M., Ergüner, B., Hackner, K., Dzurillova, L., Petru, E., Lafleur, J., Singer, J., Füreder, T., Paveley, R., Joseph, J., Aswad, F., Winkler-Penz, T., Sehlke, R., Boudesco, C., and Vladimer, G.
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- 2022
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17. Transverse Mixing in Rivers With Longitudinally Varied Morphology.
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Gond, L., Mignot, E., Le Coz, J., and Kateb, L.
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FLOW coefficient ,MORPHOLOGY ,LONGITUDINAL method ,NON-uniform flows (Fluid dynamics) ,TURBULENT mixing - Abstract
Improving the quantification of the transverse mixing coefficient in rivers is essential for a better estimation of pollutant dispersion. This coefficient is evaluated from tracing experiments or from semi‐empirical equations assuming uniform flow conditions. This assumption, verified for laboratory experiments, is questionable for river studies. For example, piedmont rivers exhibit nonuniform flows due to their longitudinal morphological variations. This work aims at studying the longitudinal variability of the transverse mixing coefficient in a river with longitudinally varied morphology and the overlooked impact of the flow nonuniformity on the coefficient's values. Tracing experiments were conducted in the Durance River in France using slug injections and concentration measurements made at the cross‐sections delineating homogeneous sub‐reaches. Using the well‐known 1D transverse diffusion model, values of the transverse mixing coefficient are determined for all consecutive sub‐reaches. These values substantially vary along the studied river, with stronger mixing efficiency at pools and complex riffles and weaker mixing efficiency in straight sub‐reaches with emerging obstacles. The dimensionless transverse mixing coefficient is strongly related to a parameter quantifying the deviation from flow‐uniformity, i.e., indicating flow acceleration, deceleration or a succession of both within the sub‐reaches. While usual formulas from the literature fail to predict our empirical results, a new equation including the flow nonuniformity parameter fits our experimental data with high accuracy. After further validation, such equation may be used for predicting the transverse mixing coefficient in rivers with longitudinally varied morphology. Key Points: Tracing experiments in a shallow, gravel‐bedded river yield highly variable transverse mixing coefficientsUsual predictive formulas fail to predict reach‐averaged transverse mixing coefficients in a river with longitudinally varied morphologyAn equation based on a flow nonuniformity parameter is fitted to our experimental data [ABSTRACT FROM AUTHOR]
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- 2021
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18. Comparison of standardized methods for suspended solid concentration measurements in river samples
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Dramais, G., Camenen, B., Le Coz, J., Thollet, F., Le Bescond, C., Lagouy, M., Buffet, A., Lacroix, F., RiverLy (UR Riverly), and Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
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metrology ,COURS D'EAU ,ECHANTILLON ,[SDE]Environmental Sciences ,METROLOGIE ,rivers - Abstract
River Flow 2018: 9th International Conference on Fluvial Hydraulics, Lyon, FRA, 05-/09/2018 - 08/09/2018; International audience; SSC (Suspended Solid Concentration) measurements in rivers are a complex scientific issue. Many questions arise on the spatial and temporal distribution of particles throughout a cross-section, on the properties of particles and grain-size, and also on the sediment transport capacity of streams and rivers. In this study, we focused on the SSC and grain size distribution measured from river samples, automatically or manually acquired. Many agencies suggested slightly different methods for measuring SSC: The European standard NF EN 872, which related to the US EPA 160.2 requires sub-sampling using shake-and-pour aliquot selection. The APHA 2540D requires sub-sampling by pipetting at mid-depth in the original sample shaken with a magnetic stirrer. These methods lead to significant uncertainty when particles larger than 63 µm are present in the samples. The ASTM D3977 analysis method, endorsed by the USGS is more accurate to capture and quantify particles larger than 63 µm. In this study we confirm the sub-sampling problem in a large concentration range using a set of samples from an alpine river.
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- 2018
19. Obtenir des informations sur les sédiments en suspension dans les grands fleuves à partir de la rétrodiffusion acoustique
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Vergne, A., Berni, C., Le Coz, J., RiverLy (UR Riverly), and Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
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acoustic doppler current profiler ,COURS D'EAU ,sediment ,PROFILEUR DOPPLER ,[SDE]Environmental Sciences ,ACOUSTIQUE ,acoustics ,rivers - Abstract
River Flow 2018: 9th International Conference on Fluvial Hydraulics, Lyon, FRA, 05-/09/2018 -; International audience; There has been a growing interest in the last decade in extracting information on Suspended Sediment Concentration (SSC) from acoustic backscatter in rivers. Quantitative techniques are not yet effective, but acoustic backscatter already provides qualitative information on suspended sediments. In particular, in the common case of a bi-modal sediment size distribution, corrected acoustic backscatter can be used to look for sand particles in suspension and provide spatial information on their distribution throughout a river crosssection. This paper presents a case-study where these techniques have been applied.
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- 2018
20. Sampling of suspended particulate matter using particle traps in the Rhône River: Relevance and representativeness for the monitoring of contaminants
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Masson, M., Angot, H., Le Bescond, C., Launay, M., Dabrin, A., Miege, C, Le Coz, J., Coquery, M., RiverLy (UR Riverly), and Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
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sampling ,suspended matter ,contamination ,ECHANTILLONNAGE ,MATIERES EN SUSPENSION ,[SDE.IE]Environmental Sciences/Environmental Engineering ,MATIERE ORGANIQUE ,organic matter - Abstract
International audience; Monitoring hydrophobic contaminants in surface freshwaters requires measuring contaminant concentrations in the particulate fraction (sediment or suspended particulate matter, SPM) of the water column. Particle traps (PTs) have been recently developed to sample SPM as cost-efficient, easy to operate and time-integrative tools. But the representativeness of SPM collected with PTs is not fully understood, notably in terms of grain size distribution and particulate organic carbon (POC) content, which could both skew particulate contaminant concentrations. The aim of this study was to evaluate the representativeness of SPM characteristics (i.e. grain size distribution and POC content) and associated contaminants (i.e. polychlorinated biphenyls, PCBs; mercury, Hg) in samples collected in a large river using PTs for differing hydrological conditions. Samples collected using PTs (n = 74) were compared with samples collected during the same time period by continuous flow centrifugation (CFC). The grain size distribution of PT samples shifted with increasing water discharge: the proportion of very fine silts (2-6 µm) decreased while that of coarse silts (27-74 µm) increased. Regardless of water discharge, POC contents were different likely due to integration by PT of high POC-content phytoplankton blooms or low POC-content flood events. Differences in PCBs and Hg concentrations were usually within the range of analytical uncertainties and could not be related to grain size or POC content shifts. Occasional Hg-enriched inputs may have led to higher Hg concentrations in a few PT samples (n = 4) which highlights the time-integrative capacity of the PTs. The differences of annual Hg and PCB fluxes calculated either from PT samples or CFC samples were generally below 20%. Despite some inherent limitations (e.g. grain size distribution bias), our findings suggest that PT sampling is a valuable technique to assess reliable spatial and temporal trends of particulate contaminants such as PCBs and Hg within a river monitoring network.
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- 2018
21. Detection of Stage‐Discharge Rating Shifts Using Gaugings: A Recursive Segmentation Procedure Accounting for Observational and Model Uncertainties.
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Darienzo, M., Renard, B., Le Coz, J., and Lang, M.
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ACCOUNTING methods ,UNCERTAINTY ,FLOOD forecasting ,FIX-point estimation ,WATER levels - Abstract
The stage‐discharge rating curve is subject at many hydrometric stations to sudden changes (shifts) typically caused by morphogenic floods. We propose an original method for estimating shift times using the stage‐discharge observations, also known as gaugings. This method is based on a recursive segmentation procedure that accounts for both gaugings and rating curve uncertainties through a Bayesian framework. It starts with the estimation of a baseline rating curve using all available gaugings. Then it computes the residuals between the gaugings and this rating curve with uncertainties. It proceeds with the segmentation of the time series of residuals through a multi‐change point Bayesian estimation accounting for residuals uncertainties. Once the first set of shift times is identified, the same procedure is recursively applied to each sub‐period through a "top‐down" approach searching for all effective shifts. The proposed method is illustrated using the Ardèche River at Meyras in France (a typical hydrometric site subject to river bed degradation) and evaluated using several synthetic data sets for which the true shift times are known. The applications confirm the added value of the recursive segmentation compared with a "single‐pass" approach and highlight the importance of properly accounting for uncertainties in the segmented data. The recursive procedure effectively disentangles rating changes from observational and rating curve uncertainties. Plain Language Summary: For many hydrological and hydraulic issues, such as flood forecasting, a reliable river discharge estimate is needed. In general, discharge is derived from the recorded water level (stage) through a stage‐discharge relation (rating curve). This relation is calibrated using direct observations (gaugings). Unfortunately, the rating curve is not only uncertain but it can also be subject to sudden changes or shifts due for example to intense floods that modify the river bed geometry. One solution to identify periods of rating curve stability is to apply a segmentation procedure to the gaugings. We propose in this paper an original recursive segmentation procedure that accounts for both gaugings and rating curve uncertainties. Key Points: We propose a method for detecting rating shifts through the segmentation of residuals between the gaugings and a reference rating curveThe method accounts for observational and rating curve uncertainties and expresses change points in terms of time (rather than position)The method recursively re‐estimates the reference rating curve to improve the detection of small shifts [ABSTRACT FROM AUTHOR]
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- 2021
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22. A Rating Curve Model Accounting for Cyclic Stage‐Discharge Shifts due to Seasonal Aquatic Vegetation.
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Perret, E., Renard, B., and Le Coz, J.
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PLANT development ,HYDRAULIC control systems ,PLANT physiology ,TIME series analysis ,MACROPHYTES ,AQUATIC plants - Abstract
Managing stage‐discharge relations at hydrometric stations affected by seasonal aquatic vegetation is challenging. Their ratings vary continuously in time so that establishing the streamflow time series is difficult. To the best of our knowledge, no rating curve model exists to deal with a vegetated channel control, only manual adjustment methods. To address this issue, a temporal rating curve model accounting for transient changes due to vegetation is developed. The model is built on basic concepts from open‐channel hydraulics and plant physiology. In the model, the flow resistance varies through time as a function of the plant development (growth and decay) and of the plant ability to reconfigure. Model parameters and uncertainty are estimated through Bayesian inference combining prior knowledge on the hydraulic controls at the station and observational data. In addition to the traditionally used stage‐discharge gaugings, the model allows the use of qualitative observations on the plant development state (e.g., no plant, growth, and decay). The model is tested and validated for a French hydrometric station where frequent gaugings (twice a month) and written comments about vegetation are available over more than 20 years. Relative errors between the simulated discharges and the observed discharges mostly range between ±20% for the temporal rating curve. In contrast, they are higher than ±50% with a standard model with no vegetation module. This case study highlights the importance of using observations about plant development to predict water discharge. We finally discuss some possible improvements and extensions of the model and recommend methods for data collection. Key Points: A rating curve model accounting for aquatic vegetation was developed and estimated through Bayesian inferenceInformation on the vegetation development state should be used to estimate the rating curveDischarge prediction in presence of aquatic plants was improved using the new model (relative errors decrease from ±50% to ±20%) [ABSTRACT FROM AUTHOR]
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- 2021
- Full Text
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23. Mesure acoustique des sédiments en suspension dans les rivières : impact potentiel des micro-bulles d'air?
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Vergne, A., Berni, Céline, Le Coz, J., Hydrologie-Hydraulique (UR HHLY), and Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
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acoustic doppler current profiler ,suspended matter ,sediment ,MATIERES EN SUSPENSION ,PROFILEUR DOPPLER ,[SDE]Environmental Sciences ,ACOUSTIQUE ,acoustics - Abstract
Underwater Acoustics Conference and Exhibition 2017, Skiathos, GRC, 03-/09/2017 - 08/09/2017; International audience; Following the success of Acoustic Doppler Current Profiler (ADCP) technology for measuring river discharge, there has been a growing interest in the last decade in extracting information on river suspended sediment fluxes from acoustic backscatter data. Despite the efforts to find a relationship between suspended sediment concentration (SSC) and backscatter, an inversion technique applicable to vertical river backscatter profiles is still missing. The theoretical and empirical bases of such techniques have been originally developed for ocean bottom suspended sediment monitoring. As a first step in our attempt to adapt these models to rivers, we measured the acoustic response of a usual glass beads suspension in a tank. Unsurprisingly, the acoustic model agrees quite well with the measurements as soon as the effect of air micro-bubbles is limited. As a second step, we deployed an acoustic backscatter profiler in the Rhône River (France) in very clear water conditions (SSC < 10 mg/l). The recorded acoustic intensities were stronger than expected at low frequency, suggesting that other scatters may contribute to the recorded echo. Typical river sediment suspensions are expected to produce weak backscatter signal, especially at common ADCP frequencies, due to small particle sizes (Rayleigh regime) and relatively low concentrations. In such conditions, the impact of air micro-bubbles - generally neglected at the bottom of the ocean - could be relevant in rivers. This preliminary work calls for further investigation to assess the potential impact of nonsediment scatterers on acoustic backscatter when trying to measure SSC with sonar technologies in rivers.
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- 2017
24. Quantifier l'effet de choix du site dans l'incertitude des jaugeages ADCP par transects
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Despax, A., Le Coz, J., Hauet, A., Engel, F.L., Oberg, K.A., Dramais, G., Blanquart, B., Besson, D., Belleville, A., Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), EDF (EDF), and United States Geological Survey [Reston] (USGS)
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acoustic doppler current profiler ,INCERTITUDE ,PROFILEUR DOPPLER ,[SDE]Environmental Sciences ,statistical uncertainty ,JAUGEAGE ,gaging - Abstract
HMEM, Durham, New Hampshire, USA, 09-/07/2017 - 12/07/2017; International audience; Stage-discharge rating curves are used to relate streamflow discharge to continuously measured river stage readings to create a continuous record of streamflow discharge. The stage-discharge relationship is estimated and refined using discrete streamflow measurements over time, during which both the discharge and stage are measured. There is uncertainty in the resulting rating curve due to multiple factors including the curve-fitting process, assumptions on the form of the model used, fluvial geomorphology of natural channels, and the approaches used to extrapolate the rating equation beyond available observations. This rating curve uncertainty leads to uncertainty in the streamflow timeseries, and therefore to uncertainty in predictive models that use the streamflow data. Many different methods have been proposed in the literature for estimating rating curve uncertainty, differing in mathematical rigor, in the assumptions made about the component errors, and in the information required to implement the method at any given site. This study describes the results of an international experiment to test and compare streamflow uncertainty estimation methods from 7 research groups across 9 institutions. The methods range from simple LOWESS fits to more complicated Bayesian methods that consider hydraulic principles directly. We evaluate these different methods when applied to three diverse gauging stations using standardized information (channel characteristics, hydrographs, and streamflow measurements). Our results quantify the resultant spread of the stage-discharge Quantifying the uncertainty of discharge measurements (or "gaugings") is a challenge in the hydrometric community. A useful tool to empirically estimate the uncertainty of a gauging method is the field inter-laboratory experiment (Le Coz et al., 2016). Previous inter-laboratory experiments conducted in France (in 2009, 2010, 2011 and 2012) showed that the expanded uncertainty (with a probability level of 95%) of an ADCP gauging made of six successive transects is typically around 5% under optimum site conditions (straight reach, uniform and smooth streambed cross-section, homogeneous flow, etc.) and may be twice higher under poorer site conditions. In practice, the selected cross-section does not always match all quality requirements which may result in larger uncertainty. However, the uncertainty due to site selection is very difficult to estimate with predictive equations. From 9 to 10 November 2016, 50 teams from 8 different countries, using 50 ADCPs simultaneously, conducted more than 600 discharge measurements in steady flow conditions (~14 m3/s released by a dam). 26 cross-sections with various shapes and flow conditions were distributed over 500 meters along the Taurion River at Saint-Priest-de-Taurion, France. A specific experiment protocol, which consisted of circulating every team over half of the cross-sections, was implemented in order to quantify the impact of site selection on the discharge measurement uncertainty. Beyond the description of the experiments, uncertainty estimates are presented. The overall expanded uncertainty of a 6-transect ADCP gaugings (duration around 720 seconds) is estimated to be around 6%.The uncertainty of the discharge measurements varies among the cross-sections. These variations are well correlated to the expert judgment on the cross-section quality made by each team. First results seem to highlight a relation between uncertainty computed for each cross-section and criteria such as flow shallowness and measured discharge ratio. Further investigations are necessary to identify the criteria related to error sources that are possibly meaningful for categorizing measurement conditions and site selection. Moreover, experimental uncertainty and the uncertainty predicted by analytical methods such as QRev, QUant, OURSIN, RiverFlowUA or QMSys software will be compared.
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- 2017
25. Predicting Transverse Mixing Efficiency Downstream of a River Confluence.
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Pouchoulin, S., Le Coz, J., Mignot, E., Gond, L., and Riviere, N.
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ADVECTION-diffusion equations ,STRATIFIED flow ,RIVER engineering ,REMOTE-sensing images ,RIVERS ,ANALYTICAL solutions - Abstract
Predicting mixing processes, especially transverse mixing, downstream of river confluences, is necessary for assessing and modeling the fate of pollutants transported in river networks, but it is still challenging. Typically, there is a lack of transverse mixing solutions implemented in 1‐D hydrodynamical models widely used in river engineering applications. To investigate the mixing processes developing downstream of a medium‐sized river confluence, three high‐resolution in situ surveys are conducted at the Rhône‐Saône confluence in France, based on geolocated specific conductivity and hydroacoustic measurements. Contrasting mixing situations are observed depending on hydrological conditions. In some cases, the two flows mix slowly due to turbulent shear at their vertical interface. This can be modeled by an analytical solution of the advection‐diffusion equation. In other cases, the waters from one of the two tributaries move under the waters of the other tributary. The induced local circulation enhances transverse mixing but not vertical mixing and the flow remains stratified vertically, which may be missed when surface or satellite images are analyzed qualitatively. Stratification may be predicted by comparing the time scales for shear and density‐driven adjustment. Shear‐dominated transverse mixing of depth‐averaged concentrations can be predicted analytically and implemented in 1‐D hydrodynamical models. However, the initiation of apparently rapid transverse mixing due to density‐driven circulation remains to be better understood and quantified. Plain Language Summary: Predicting how waters mix downstream of river confluences is necessary for assessing and modeling the fate of pollutants transported in river networks, but it is still challenging. Typically, there is a lack of transverse mixing solutions implemented in models widely used in river engineering applications. To investigate the mixing processes developing downstream of a medium‐sized river confluence, three high‐resolution in situ surveys are conducted at the Rhône‐Saône confluence in France. Contrasting slow or rapid mixing situations are observed depending on hydrological conditions. The transverse mixing of depth‐averaged concentrations can be predicted analytically and implemented in 1‐D hydrodynamical models. However, the initiation of rapid transverse mixing due to difference in fluid density remains to be better understood and quantified. Key Points: Three high‐resolution surveys of mixing are conducted downstream of a medium‐sized, symmetrical, low‐angle river confluenceShear‐dominated transverse mixing can be predicted analytically and implemented in 1‐D hydrodynamical modelsVarious criteria are tested to predict vertical stratification due to density effects, inducing apparently rapid mixing [ABSTRACT FROM AUTHOR]
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- 2020
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26. Cycle-to-Cycle Correlations Between Flow Field and Combustion Initiation in an S.I. Engine
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Le Coz, J. F.
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- 1992
27. Spray and Self-Ignition Visualization in a DI Diesel Engine
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Baritaud, T. A., Heinze, T. A., and Le Coz, J. F.
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- 1994
28. Advances in flash floods understanding and modelling derived from the FloodScale project in south-east France
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Braud, Isabelle, Ayral, P.A., Bouvier, Christophe, Branger, F., Delrieu, G., Dramais, G., Le Coz, J., Leblois, E., Nord, G., Vandervaere, J.P., Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Laboratoire de Génie de l'Environnement Industriel (LGEI), IMT - MINES ALES (IMT - MINES ALES), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Hydrosciences Montpellier (HSM), Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'étude des transferts en hydrologie et environnement (LTHE), Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Grenoble (INPG)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Observatoire des Sciences de l'Univers de Grenoble (OSUG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), and Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG )
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modelling ,CYCLE DE L'EAU ,ZABR - SITE ATELIER RIVIÈRES CÉVENOLES ,[SDE.IE]Environmental Sciences/Environmental Engineering ,[SPI.GCIV.RISQ]Engineering Sciences [physics]/Civil Engineering/Risques ,ZABR ,[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology ,flash flood ,MODELISATION ,CRUE SOUDAINE - Abstract
[Departement_IRSTEA]Eaux [TR1_IRSTEA]ARCEAUFLOODrisk 2016, 3rd European Conference on Flood Risk Management, Innovation, Implementation, Integration, Lyon, FRA, 18-/10/2016 - 20/10/2016; International audience; The Mediterranean area is prone to intense rainfall events triggering flash floods, characterized by very short response times that sometimes lead to dramatic consequences in terms of casualties and damages. These events can affect large territories, but their impact may be very local in catchments that are generally ungauged. These events remain difficult to predict and the processes leading to their generation still need to be clarified. The HyMeX initiative (Hydrological Cycle in the Mediterranean Experiment, 2010-2020) aims at increasing our understanding of the water cycle in the Mediterranean basin, in particular in terms of extreme events. In order to better understand processes leading to flash floods, a four-year experiment (2012-2015) was conducted in the Cévennes region (South-East) France as part of the FloodScale project. Both continuous and opportunistic measurements during floods were conducted in two large catchments (Ardèche and Gard rivers) with nested instrumentation from the hillslopes to catchments of about 1, 10, 100 to 1000 km2 covering contrasted geology and land use. Continuous measurements include distributed rainfall, stream water level, discharge, water temperature and conductivity and soil moisture measurements. Opportunistic measurements include surface soil moisture and geochemistry sampling during events and gauging of floods using non-contact methods: portable radars to measure surface water velocity or image sequence analysis using LS-PIV (Large Scale Particle Image Velocimetry). During the period 2012-2014, and in particular during autumn 2014, several intense events affected the catchments and provided very rich data sets. Data collection was complemented with modelling activity aiming at simulating observed processes. The modelling strategy was setup through a wide range of scales, in order to test hypotheses about physical processes at the smallest scales, and aggregated functioning hypothesis at the largest scales. During the project, a focus was also put on the improvement of rainfall fields characterization both in terms of spatial and temporal variability and in terms of uncertainty quantification. Rainfall reanalyses combining radar and rain gauges were developed. Rainfall simulation using a stochastic generator was also performed. Another effort was dedicated to the improvement of discharge estimation during floods and the quantification of streamflow uncertainties using Bayesian techniques. The paper summarizes the main results gained from the observations and the subsequent modelling activity in terms of flash flood process understanding at the various scales. It concludes on how the new acquired knowledge can be used for prevention and management of flash floods.
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- 2016
29. Enseignements tirés à partir de projets récents de sciences participatives pour documenter les crues en France, Argentine et Nouvelle-Zélande
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Le Coz, J., Patalano, A., Collins, D., Guillen, N.F., Garcia, C.M., Smart, G.M., Bind, J., Chiaverini, A., Le Boursicaud, R., Dramais, G., Braud, I., Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Universidad Nacional de Córdoba [Argentina], Applied Hydrology Hydrodynamics, and National Institute of Water and Atmospheric Research [Christchurch] (NIWA)
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society ,SOCIETE ,data acquisition ,ACQUISITION DE DONNEES ,IMAGE ,[SDE]Environmental Sciences ,high water ,CRUE - Abstract
FloodRisk 2016, Lyon, FRA, 17-/10/2016 - 21/10/2016; International audience; New communication and digital image technologies have enabled the public to produce and share large quantities of flood observations. Valuable hydraulic data such as water levels, flow rates, inundated areas, etc., can be extracted from photos and movies taken by citizens and help improve the analysis and modelling of flood hazard. We introduce recent citizen science initiatives which have been launched independently by research organisations to document floods in some catchments and urban areas of France, Argentina and New Zealand. Key drivers for success appear to be: a clear and simple procedure, suitable tools for data collecting and processing, an efficient communication plan, the support of local stakeholders, and the public awareness of natural hazards.
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- 2016
30. Assessing the origin of suspended particulate matter (SPM) in the Rhône River from the geochemical signature of the particulate residual fraction and hydro-sedimentary modelling
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Dabrin, A., Bretier, M., Dugué, V., Masson, M., Le Bescond, C., Panay, J., Le Coz, J., Coquery, M., Milieux aquatiques, écologie et pollutions (UR MALY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Hydrologie-Hydraulique (UR HHLY), ANR-11-LABX-0010/11-LABX-0010,LabEx DRIIHM,Dispositif de recherche interdisciplinaire sur les Interactions Hommes-Milieux(2011), and ANR-11-LABX-0010,DRIIHM / IRDHEI,Dispositif de recherche interdisciplinaire sur les Interactions Hommes-Milieux(2011)
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[SDE.ES]Environmental Sciences/Environmental and Society ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience
- Published
- 2016
31. Evaluation sur le terrain des jaugeages sans contact par vélocimètre radar portable (SVR)
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Welber, M., Le Coz, J., Laronne, J., Zolezzi, G., Zamler, D., Dramais, G., Hauet, A., Salvaro, M., Department of civil, environmental and mechanical engineering [Trento], University of Trento [Trento], Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Ben-Gurion University of the Negev (BGU), EDF - Division Technique Générale (DTG), and EDF (EDF)
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[SDE.IE]Environmental Sciences/Environmental Engineering ,GAGING ,[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology ,VELOCIMETRIE ,JAUGEAGE - Abstract
International audience; The applicability of a portable, commercially available surface velocity radar (SVR) for noncontact stream gauging was evaluated through a series of field-scale experiments carried out in a variety of sites and deployment conditions. Comparisons with various concurrent techniques showed acceptable agreement with velocity profiles, with larger uncertainties close to the banks. In addition to discharge error sources shared with intrusive velocity-area techniques, SVR discharge estimates are affected by flood-induced changes in the bed profile and by the selection of a depth-averaged to surface velocity ratio, or velocity coefficient (a). Cross-sectional averaged velocity coefficients showed smaller fluctuations and closer agreement with theoretical values than those computed on individual verticals, especially in channels with high relative roughness. Our findings confirm that a 0.85 is a valid default value, with a preferred site-specific calibration to avoid underestimation of discharge in very smooth channels (relative roughness < 0.001) and overestimation in very rough channels (relative roughness>0.05). Theoretically derived and site-calibrated values of a also give accurate SVR-based discharge estimates (within 10%) for low and intermediate roughness flows (relative roughness 0.001 to 0.05). Moreover, discharge uncertainty does not exceed 10% even for a limited number of SVR positions along the cross section (particularly advantageous to gauge unsteady flood flows and very large floods), thereby extending the range of validity of rating curves.
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- 2016
32. Gauging extreme floods on YouTube: Application of LSPIV to home movies for the post-event determination of stream discharges
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Le Boursicaud, R., Pénard, Lionel, Hauet, A., Thollet, F., Le Coz, J., Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), EDF - Division Technique Générale (DTG), and EDF (EDF)
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VELOCIMETRIE PAR IMAGE DE PARTICULES ,RIVER FLOW ,DEBIT DE COURS D'EAU ,[SDE]Environmental Sciences ,PARTICLE IMAGE VELOCIMETRY ,GAGING ,FILMS ,FLASH FLOOD ,JAUGEAGE ,CRUE SOUDAINE ,FILM - Abstract
International audience; Movies taken by witnesses of extreme flood events are increasingly available on video sharing websites. They potentially provide highly valuable information on flow velocities and hydraulic processes that can help improve the post-flood determination of discharges in streams and flooded areas. We investigated the troubles and potential of applying the now mature large-scale particle image velocimetry (LSPIV) technique to such flood movies that are recorded under non-ideal conditions. Processing was performed using user-friendly, free software only, such as Fudaa-LSPIV. Typical issues related to the image processing and to the hydrological analysis are illustrated using a selected example of a pulsed flash-flood flow filmed in a mountainous torrent. Simple corrections for lens distortion (fisheye) and limited incoherent camera movement (shake) were successfully applied, and the related errors were reduced to a few percents. Testing the different image resolution levels offered by YouTube showed that the difference in time-averaged longitudinal velocity was less than 5% compared with full resolution. A limited number of GRPs, typically 10, is required, but they must be adequately distributed around the area of interest. The indirect determination of the water level is the main source of uncertainty in the results, usually much more than errors because of the longitudinal slope and waviness of the free-surface of the flow. The image-based method yielded direct discharge estimates of the base flow between pulses, of the pulse waves, and of the time-averaged flow over a movie sequence including a series of five pulses. A comparison with traditional indirect determination methods showed that the critical-depth method may produce significantly biassed results for such a fast, unsteady flow, while the slope-area method seems to be more robust but would overestimate the time-averaged flow rate if applied to the high-water marks of a pulsed flow.
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- 2016
33. Prise en compte de la stratégie d'échantillonnage et de la complexité de la section en travers dans l'estimation de l'incertitude des jaugeages par exploration du champ des vitesses
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Despax, A., Perret, C., Garçon, R., Hauet, A., Belleville, A., Le Coz, J., Favre, A.C., Direction Technique (EDF Direction Technique), EDF (EDF), Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Laboratoire d'étude des transferts en hydrologie et environnement (LTHE), Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Grenoble (INPG)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Observatoire des Sciences de l'Univers de Grenoble (OSUG ), and Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
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STATISTICAL UNCERTAINTY ,ECHANTILLONNAGE ,INCERTITUDE ,VITESSE ,[SDE.IE]Environmental Sciences/Environmental Engineering ,HYDROMETRY ,SAMPLING ,GAGING ,HYDROMETRIE ,VELOCITY ,[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology ,JAUGEAGE ,[SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph] - Abstract
International audience; Streamflow time series provide baseline data for many hydrological investigations. Errors in the data mainly occur through uncertainty in gauging (measurement uncertainty) and uncertainty in the determination of the stage-discharge relationship based on gaugings (rating curve uncertainty). As the velocity-area method is the measurement technique typically used for gaugings, it is fundamental to estimate its level of uncertainty. Different methods are available in the literature (View the MathML sourceISO748,Q+, IVE ), all with their own limitations and drawbacks. Among the terms forming the combined relative uncertainty in measured discharge, the uncertainty component relating to the limited number of verticals often includes a large part of the relative uncertainty. It should therefore be estimated carefully. In View the MathML sourceISO748 standard, proposed values of this uncertainty component only depend on the number of verticals without considering their distribution with respect to the depth and velocity cross-sectional profiles. The Q+Q+ method is sensitive to a user-defined parameter while it is questionable whether the IVE method is applicable to stream-gaugings performed with a limited number of verticals. To address the limitations of existing methods, this paper presents a new methodology, called FLow Analog UnceRtainty Estimation (Flaure), to estimate the uncertainty component relating to the limited number of verticals. High-resolution reference gaugings (with 31 and more verticals) are used to assess the uncertainty component through a statistical analysis. Instead of subsampling purely randomly the verticals of these reference stream-gaugings, a subsampling method is developed in a way that mimicks the behavior of a hydrometric technician. A sampling quality index (SQI) is suggested and appears to be a more explanatory variable than the number of verticals. This index takes into account the spacing between verticals and the variation of unit flow between two verticals. To compute the uncertainty component for any routine gauging, the four most similar gaugings among the reference stream-gaugings dataset are selected using an analog approach, where analogy includes both riverbed shape and flow distribution complexity. This new method was applied to 3185 stream-gaugings with various flow conditions and compared with the other methods (View the MathML sourceISO748, IVE , Q+Q+ with a simple automated parametrization). Results show that Flaure is overall consistent with the Q+Q+ method but not with View the MathML sourceISO748 and IVE methods, which produce clearly overestimated uncertainties for discharge measurements with less than 15 verticals. The Flaure approach therefore appears to be a consistent method. An advantage is the explicit link made between the estimation of cross-sectional interpolation errors and the study of high-resolution reference gaugings.
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- 2016
34. Estimating the uncertainty of streamgauging techniques using in situ collaborative interlaboratory experiments
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Le Coz, J., Blanquart, B., Pobanz, K., Dramais, G., Pierrefeu, G., Hauet, A., Despax, A., Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), aucun, Independent expert, CNR, Compagnie Nationale du Rhône (CNR), EDF - Division Technique Générale (DTG), EDF (EDF), Laboratoire d'étude des transferts en hydrologie et environnement (LTHE), Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Observatoire des Sciences de l'Univers de Grenoble (OSUG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Grenoble (INPG)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), and Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)
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STATISTICAL UNCERTAINTY ,RIVERS ,COURS D'EAU ,INCERTITUDE ,HYDROMETRY ,PROFILEUR DOPPLER ,[SDE]Environmental Sciences ,GAGING ,HYDROMETRIE ,ACOUSTIC DOPPLER CURRENT PROFILER ,JAUGEAGE - Abstract
International audience; While the application of uncertainty propagation methods to hydrometry is still challenging, in situ collaborative interlaboratory experiments are a valuable tool for empirically estimating the uncertainty of streamgauging techniques in given measurement conditions. We propose a simple procedure for organizing such experiments and processing the results according to the authoritative ISO standards related to interlaboratory experiments, which are of common practice in many metrological fields. Beyond the computation and interpretation of the results, some issues are discussed as regards: the estimation of the streamgauging technique bias in the absence of accurate enough discharge references in rivers; the uncertainty of the uncertainty estimates, according to the number of participants and repeated measurements; the criteria related to error sources which are possibly meaningful for categorizing measurement conditions. The interest and limitations of the in situ collaborative interlaboratory experiments are exemplified by an application to the hydro-acoustic profiler (ADCP) streamgauging technique conducted in 2010 at two different sites downstream of Génissiat hydropower plant in the Rhône river, France. Typically, the expanded uncertainty (with a probability level of 95%) of the average discharge over 6 successive transects varied from +/-5% at one site with favourable conditions to +/-9% at the other site due to unstable flow conditions.
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- 2016
35. Bayesian analysis of stage-fall-discharge rating curves and their uncertainties
- Author
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Mansanarez, V., Le Coz, J., Renard, B., Lang, M., Pierrefeu, G., Vauchel, P., Hydrologie-Hydraulique ( UR HHLY ), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture ( IRSTEA ), Compagnie Nationale du Rhône, Géosciences Environnement Toulouse ( GET ), Institut de Recherche pour le Développement ( IRD ) -Université Paul Sabatier - Toulouse 3 ( UPS ) -Observatoire Midi-Pyrénées ( OMP ) -Centre National de la Recherche Scientifique ( CNRS ), Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Compagnie Nationale du Rhône (CNR), Géosciences Environnement Toulouse (GET), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), and Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)
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bayesian statistics ,[ SDE ] Environmental Sciences ,rating curve ,INCERTITUDE ,STATISTIQUE BAYESIENNE ,COURBE DE TARAGE ,[SDE]Environmental Sciences ,statistical uncertainty ,ComputingMilieux_MISCELLANEOUS - Abstract
[Departement_IRSTEA]Eaux [TR1_IRSTEA]ARCEAU; International audience
- Published
- 2016
36. Measuring, computing and fingerprinting the suspended load fluxes of the Rhone River
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Le Coz, J., Le Bescond, C., Dugué, V., Brattier, M., Dabrin, A., Coquery, Marina, Thollet, F., Berni, Céline, Masson, M., Panay, J., Faure, J.-B., Giaroard, S., Radakovitch, O., Lepage, H., Eyrolle-Boyer, F., Raimbault, Patrick, Pairaud, I., Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Milieux aquatiques, écologie et pollutions (UR MALY), Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Collège de France (CdF)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Institut National de la Recherche Agronomique (INRA), Institut méditerranéen d'océanologie (MIO), Centre National de la Recherche Scientifique (CNRS)-Université de Toulon (UTLN)-Aix Marseille Université (AMU)-Institut de Recherche pour le Développement (IRD), ANR-11-LABX-0010/11-LABX-0010,LabEx DRIIHM,Dispositif de recherche interdisciplinaire sur les Interactions Hommes-Milieux(2011), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Collège de France (CdF (institution))-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Toulon (UTLN), ANR-11-LABX-0010,DRIIHM / IRDHEI,Dispositif de recherche interdisciplinaire sur les Interactions Hommes-Milieux(2011), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), and Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)
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[SDE.ES]Environmental Sciences/Environmental and Society ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience
- Published
- 2016
37. Erratum sur 'L'incertitude sur les débits d'écoulement à surface libre mesurés par exploration du champ des vitesses [Flow Meas. Instrum. 26 (2012) 18-29]'
- Author
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Le Coz, J., Camenen, B., Peyrard, X., Dramais, G., Hydrologie-Hydraulique (UR HHLY), and Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
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STATISTICAL UNCERTAINTY ,INCERTITUDE ,VITESSE ,HYDROMETRY ,[SDE]Environmental Sciences ,FREE SURFACE FLOW ,GAGING ,HYDROMETRIE ,VELOCITY ,ECOULEMENT A SURFACE LIBRE ,JAUGEAGE - Abstract
International audience; Several formal mistakes can be found in the research paper published by Le Coz et al. [2012] in Flow Measurement and Instrumentation. Their conclusions on the introduced method are still valid but the following errors may be detrimental to its correct implementation by others.; Plusieurs erreurs formelles peuvent être trouvées dans l'article scientifique publié par Le Coz et al. [2012] dans Flow Measurement and Instrumentation. Leurs conclusions sur la méthode introduite sont toujours valables mais les erreurs suivantes peuvent nuire à sa bonne mise en ½oeuvre par d'autres.
- Published
- 2015
38. Calibrating pollutant dispersion in 1-D hydraulic models of river networks
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Launay, M., Le Coz, J., Camenen, B., Walter, C., Angot, H., Dramais, G., Faure, J.B., Coquery, Marina, Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), and Milieux aquatiques, écologie et pollutions (UR MALY)
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COURS D'EAU ,DISPERSION ,POLLUTION ,MODELE HYDRAULIQUE ,[SDE]Environmental Sciences ,ACOUSTIC DOPPLER CURRENT PROFILER - Abstract
International audience; The objective of this article is to investigate the major issues associated with the calibration of the pollutant dispersion in 1-D hydraulic models applied to river networks, especially large, complex, artificializedones where ecological and socio-economical threats are important. Such issues are illustrated and discussedusing the results of five fluorescent tracer experiments conducted in contrasted open-channel systems,ranging from a simple trapezoidal canal to a more complex river network. Experimental dispersion values were quantified using both the change of moment method and a simple fit-by-eye procedure for eight river reaches with homogeneous hydraulic conditions and an achieved tracer mixing and dispersive equilibrium. Since dispersion coefficient values depend on the assumed dispersion model, ideally they should be calibrated using the same model in which they are to be used, as was done in this study. Wealso derived concurrent longitudinal dispersion values using the velocity field measured by hydro-acoustic profilers (ADCP), which appears as a promising and cost-efficient technique for documenting dispersion in large river systems. It appears that the formulae for which the fit was mainly based on the cross-sectional aspect ratio are generally more appropriate for field data than those which are sensitive to the velocity to shear velocity ratio. The interpretation of complex dispersion and mixing processes, along with the selection of relevant dispersion coefficient predictors are key to minimizing errors in the numerical simulation of pollution dynamics in river networks.
- Published
- 2015
39. Développement d'un moteur 4-soupapes fonctionnant en mélange dilué. Une nouvelle approche basée sur l'optimisation de l'aérodynamique interne Application of Flow Field Optimization to Lean Burn Engine Development. A New Approach Based on Internal Flow Field Optimization
- Author
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Henriot S., Herrier D., and Le Coz J. F.
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lcsh:TP1-1185 ,lcsh:Chemical technology ,lcsh:HD9502-9502.5 ,lcsh:Energy industries. Energy policy. Fuel trade - Abstract
L'objectif du projet GSM Moteur de Synthèse à Allumage Commandéest de concevoir un moteur fonctionnant en mélange pauvre à la fois dépollué et économe. La première phase analyse finement sur moteur monocylindre les interactions entre l'aérodynamique et la combustion qui déterminent l'aptitude au fonctionnement en mélange pauvre ou dilué. La procédure employée présente la particularité d'associer des outils complémentaires tels que code de calcul tridimensionnel, diagnostics optiques (anémométrie laser et ombroscopie) et mesures classiques sur banc monocylindre. La modélisation tridimensionnelle est utilisée comme moyen efficace de sélection et de prédiction de l'aérodynamique interne. Les paramètres les plus influents sur la stabilité de l'initiation de la combustion sont la direction et l'intensité de la vitesse au point d'allumage et le niveau de turbulence. Le meilleur compromis favorable au fonctionnement en mélange pauvre est constitué par une culasse possédant une chambre de combustion en toit avec une seule soupape d'admission. Son aérodynamique interne est caractérisée par la combinaison d'un mouvement de rotation d'axe vertical (swirl) avec un tourbillon d'axe horizontal balayant l'arête du toit (tumble). Son niveau de turbulence est ajusté de manière à accroître la vitesse de combustion en limitant les instabilités cycle-à-cycle. La deuxième phase est consacrée à la transposition de cette solution sur un moteur multicylindre. Les principales difficultés rencontrées sont liées aux disparités de comportement entre cylindres accentuées par le fonctionnement en mélange pauvre. Seul un contrôle individuel des paramètres de combustion de chaque cylindre (avance, injection, richesse) associé à un écartement d'électrodes de bougie accru permet de re-trouver des résultats proches de ceux acquis sur monocylindre. Dans ces conditions, les limites pauvres se situent à des richesses comprises entre 0,60 et 0,70 suivant la charge et le régime. La diminution des émissions d'oxydes d'azote qui en résulte atteint en moyenne sur des points représentatifs du cycle ECE15 74 % par rapport au fonctionnement à la stoechiométrie. Enfin, des essais avec recyclage des gaz d'échappement ont démontré le potentiel de la solution optimisée d'un point de vue aérodynamique à tout mode de fonctionnement en mélange dilué. The constraints that must be accounted for inbuilding a new engine are increasing. It is necessary to contend with user demands for performance, while improving efficiency, limiting pollutant emissions and reducing knock sensitivity. Given the number of parameters to be taken into account, the response to these demands would require large investments in time and resources if conventional development methods (which usually follow an empirical approach) were applied. The purpose of this research supported by Groupement Scientifique Moteur (GSM) was to design a lean-burn sparkignition engine with the object of reducing pollutant emissions and fuel consumption. We try to develop a promising new approach that follows a scientific methodology based in particular on the use of predictive computer codes. The objective of this project is to design an engine that runs on a lean or possibly dilute mixture that will meet European pollution regulations. This lean-burn solution, combined with oxidation catalysis, is considered as an alternative to threeway catalysis, which imposes operation at stoichiometry. The original configuration is a 4-valve engine. One of the advantages this engine offers is great flexibility in changing the inlet conditions. This provides a way of optimizing internal fluid motion, which turns out to be a determining factor in the ability to operate with a lean or dilute mixture. The operation of an engine with a lean or dilute mixture results in substantially reducing nitrogen oxide (NOx) emissions, virtually eliminating carbon dioxide (CO) emissions, and in lower specific fuel consumption. On the other hand, unburnt hydrocarbon (HC) emissions generally increase, which implies the use of an oxidation catalyst if the antipollution standards become too severe. The first phase was to analyze the interactions between fluid dynamics and combustion, which determine the capability of this engine to run with a lean or dilute mixture. The methodology relies on complementary means :(a) Three-dimensional computer code (KIVA). (b) Optical diagnostics (Laser Doppler Velocimetry). (c) Single-cylinder engine equipped with conventional measurement systems. Three dimensional modeling is used to predict and to optimize fluid motion in the cylinder for different intake configurations. The most important parameters influencing the stability of initial combustion are found to be the direction and magnitude of the mean velocity at the spark location, and the turbulence level. We should note that this flow field optimization is also applicable for operation with any dilute mixture (diluted by exhaust gases for example). The question of the minimization of the cyclic variability remains. The most favorable configuration for lean-burn operation was a pent-roof combustion chamber with a single operating intake valve. Fluid motion in this engine is characterized by the combination of a swirling and a tumbling motion and can be described as an inclined tumble. This motion leads to a flow at the spark plug location directed along the edge of the cylinder head. Moreover, the turbulence level is optimal for a high burning rate and low cycleto-cycle instability. The second phase was to apply this solution to a multicylinder system. The main difficulties came from the variability between cylinders, which was amplified during lean-burn operation. Each cylinder must be independently controlled (spark timing, sequential injection, fuel-air ratio, etc. ). Moreover, an increased spark gap is needed in order to reproduce the performance (i. e. efficiency) obtained with the single-cylinder. For these conditions, the minimum fuelair equivalence ratio is between 0. 60 and 0. 70, depending on the engine load and speed. Nitrogen oxide emissions are then reduced from about 74% on the average (compared with stoichiometric emissions) at several selected running conditions representative of the ECE 15 cycle. Finally, the optimized solution was proven to be capable of accommodating any dilute mixture. This was demonstrated via tests using exhaust gases for dilution.
- Published
- 2006
40. Observation et modélisation hydrométéorologique multi-échelles pour la compréhension des crues rapides
- Author
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Braud, I., Ayral, P.A., Bouvier, C., Branger, F., Delrieu, G., Le Coz, J., Nord, G., Vandervaere, J.P., Anquetin, S., Adamovic, M., Andrieu, J., Batiot-Guilhe, Christelle, Boudevillain, B., Brunet, P., Carreau, J., Confoland, A., F, Didon Lescot J, Domergue, J.M., DOUVINET, Johnny, Dramais, G., Freydier, R., Gérard, S., Huza, J., Leblois, E., Le Bourgeois, O., Le Boursicaud, R., Marchand, P., Martin, P., Nottale, L., Patris, N., Renard, B., Seidel, J.L., Taupin, J.D., Vannier, O., Vincendon, B., Wijbrans, A., Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), IMT - MINES ALES (IMT - MINES ALES), Institut Mines-Télécom [Paris] (IMT), Hydrosciences Montpellier (HSM), Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'étude des transferts en hydrologie et environnement, Université Joseph Fourier - Grenoble 1 (UJF)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Études des Structures, des Processus d’Adaptation et des Changements de l’Espace (ESPACE), Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble-Institut National Polytechnique de Grenoble (INPG)-Institut de recherche pour le développement IRD-Centre National de la Recherche Scientifique (CNRS), Observatoire de Paris - Site de Meudon (OBSPM), Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Centre National de la Recherche Scientifique (CNRS), Groupe d'étude de l'atmosphère météorologique (CNRM-GAME), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Univers et Théories (LUTH (UMR_8102)), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)
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[PHYS]Physics [physics] ,[SDE]Environmental Sciences ,HYDROMETEOROLOGY ,ANALYSE MULTI-ECHELLE ,[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] ,CRUE SOUDAINE ,ComputingMilieux_MISCELLANEOUS ,HYDROMETEOROLOGIE - Abstract
International audience; This paper presents a coupled observation and modelling strategy aiming at improving the understanding of processes triggering flash floods. This strategy is illustrated for the Mediterranean area using two French catchments (Gard and Ardèche) larger than 2000 km2. The approach is based on the monitoring of nested spatial scales: (1) the hillslope scale, where processes influencing the runoff generation and its concentration can be tackled; (2) the small to medium catchment scale (1–100 km2), where the impact of the network structure and of the spatial variability of rainfall, landscape and initial soil moisture can be quantified; (3) the larger scale (100–1000 km2), where the river routing and flooding processes become important. These observations are part of the HyMeX (HYdrological cycle in the Mediterranean EXperiment) enhanced observation period (EOP), which will last 4 years (2012–2015). In terms of hydrological modelling, the objective is to set up regional-scale models, while addressing small and generally ungauged catchments, which represent the scale of interest for flood risk assessment. Topdown and bottom-up approaches are combined and the models are used as “hypothesis testing” tools by coupling model development with data analyses in order to incrementally evaluate the validity of model hypotheses. The paper first presents the rationale behind the experimental set-up and the instrumentation itself. Second, we discuss the associated modelling strategy. Results illustrate the potential of the approach in advancing our understanding of flash flood processes on various scales.
- Published
- 2014
41. Numerical and physical simulation of soluble contaminant transport through complex large river systems
- Author
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Launay, M., Le Coz, J., Angot, H., Dramais, G., Andries, E., Camenen, B., Marina Coquery, Pardo, Corinne, Dispositif de recherche interdisciplinaire sur les Interactions Hommes-Milieux - - DRIIHM / IRDHEI2011 - ANR-11-LABX-0010 - LABX - VALID, Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Milieux aquatiques, écologie et pollutions (UR MALY), ANR-11-LABX-0010,DRIIHM / IRDHEI,Dispositif de recherche interdisciplinaire sur les Interactions Hommes-Milieux(2011), and ANR-11-LABX-0010/11-LABX-0010,LabEx DRIIHM,Dispositif de recherche interdisciplinaire sur les Interactions Hommes-Milieux(2011)
- Subjects
[SDE.ES] Environmental Sciences/Environmental and Society ,[SDE.ES]Environmental Sciences/Environmental and Society ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience
- Published
- 2014
42. HyMeX-SOP1, the field campaign 1 dedicated to 2 heavy precipitation and flash flooding in 3 the northwestern Mediterranean
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Ducrocq, V, Braud, I., Davolio, S., Ferretti, Rossella, Flamant, C., Jansa, A., Kalthoff, N., Richard, E., Taupier Letage, I., Ayral, P. A., Belamari, S., Berne, A., Borga, M., Boudevillain, B., Bock, O., Boichard, J. L., Bouin, M. N., Bousquet, O., Bouvier, C., Chiggiato, J., Cimini, D., Corsmeier, U., Coppola, L., Cocquerez, P., Defer, E., Delanoë, J., Di Girolamo, P., Doerenbecher, A., Drobinski, P., Dufournet, Y., Fourrié, N., Gourley, J. J., Labatut, L., Lambert, D., Le Coz, J., Marzano, F. S., Molinié, G., Montani, A., Nord, G., Nuret, M., Ramage, K., Rison, B., Roussot, O., Said, F., Schwarzenboeck, A., Testor, P., Van Baelen, J., Vincendon, B., Aran, M., and Tamayo, J.
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heavy precipitation ,natural hazards ,field experiment - Published
- 2014
43. Effects of the “Amoco Cadiz” oil spill on zooplankton: A new possibility of ecophysiological survey
- Author
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Samain, J. F., Moal, J., Coum, A., Le Coz, J. R., and Daniel, J. Y.
- Published
- 1980
- Full Text
- View/download PDF
44. Flux de contaminants particulaires dans le Haut-Rhône
- Author
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Launay, M., Coquery, M., Angot, H., Le Coz, J., Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Milieux aquatiques, écologie et pollutions (UR MALY), ANR-11-LABX-0010/11-LABX-0010,LabEx DRIIHM,Dispositif de recherche interdisciplinaire sur les Interactions Hommes-Milieux(2011), and ANR-11-LABX-0010,DRIIHM / IRDHEI,Dispositif de recherche interdisciplinaire sur les Interactions Hommes-Milieux(2011)
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PCB ,HAUT RHONE ,MERCURY (HG) ,[SDE]Environmental Sciences ,PARTICULATE CONTAMINANT FLUX ,SUSPENDED PARTICULATE MATTERS (SPM) ,PCBS ,RHONE RINVER ,[SDE.ES]Environmental Sciences/Environmental and Society ,ComputingMilieux_MISCELLANEOUS - Abstract
National audience; Les contaminants hydrophobes sont majoritairement transportés par les matières en suspension (MES). L'évaluation des flux de contaminants particulaires présente donc un intérêt pour la compréhension de la dynamique, du transport et du devenir des PCB et du mercure au sein du réseau hydrographique. Les objectifs de cette étude sont de classifier les principaux affluents en termes d'apports de MES et de contaminants, d'étudier la variabilité spatio-temporelle des flux et d'évaluer les incertitudes associées. Le flux d'un contaminant particulaire à travers une section du fleuve est le produit du débit, de la concentration en MES et de la teneur en contaminant adsorbé sur les particules. Les variations temporelles aussi bien que spatiales de ces trois paramètres doivent être considérées pour calculer des flux annuels avec une incertitude minimale. Les stations de jaugeage sont en générales bien développées et permettent d'enregistrer en continu les débits de la plupart des cours d'eau. En revanche, les données de concentration en MES et en contaminants proviennent souvent de réseaux de suivi de la qualité de l'eau, basés sur des mesures ponctuelles. Un réseau dédié au calcul de flux sur le bassin versant du Haut-Rhône a été développé depuis septembre 2011 et permet d'étudier la dynamique sédimentaire et des contaminants particulaires. La stratégie de suivi repose sur des mesures effectuées en différents points le long du Haut-Rhône et à l'exutoire de ses principaux affluents pendant des crues et les opérations de chasse des barrages. Un suivi à pas de temps fin est également mené à une station située à l'aval du bassin versant pour mesurer les concentrations en MES et les teneurs en contaminants en régime de base et au cours des crues. Premièrement, à partir des enregistrements continus de débit disponible, nous avons déterminé les débits et les flux moyens annuels du Haut Rhône et de ses affluents. Nous avons vérifié que les bilans d'eau annuels entre les entrées et les sorties du réseau sont équilibrés à -6% sur une période de 10 ans. Ces -6% correspondent aux petits bassins affluents qui ne sont pas jaugés. Deuxièmement, nous avons développé des stratégies pour calculer les flux moyens annuels de MES pour chaque affluent, en utilisant les données ponctuelles ou les courtes chroniques de MES disponibles. Trois méthodes pour extrapoler de longues séries temporelles de concentration en MES sont proposées : i) la calibration des enregistrements de turbidité avec des mesures de concentrations en MES, ii) la modélisation en cherchant des relations entre la concentration en MES et le débit et iii) des estimations par analogie avec les bassins-versants voisins ou par analyse spatiale dans le cas d'affluents pour lesquels aucune donnée de concentrations en MES n'est disponible. Ces méthodes permettent d'estimer la contribution moyenne de chaque affluent au flux de MES et d'étudier la dynamique sédimentaire locale à l'échelle d'un événement de crue. Troisièmement, les données de teneurs en contaminants obtenues pendant les périodes de régime de base et de crue montrent des différences significatives de taux de contamination entre les différents affluents. La stabilité ou la variabilité temporelle des teneurs en contaminant à chaque station doit être confirmée pour établir des moyennes robustes permettant la quantification des flux. Le suivi doit être poursuivi, particulièrement pendant les crues. Une perspective de ce travail est l'utilisation d'un modèle numérique pour calculer les flux d'eau, de MES et de contaminants particulaires à travers le réseau hydrographique et pour établir des bilans à l'échelle de l'événement.
- Published
- 2013
45. Impact of Stage Measurement Errors on Streamflow Uncertainty.
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Horner, I., Renard, B., Le Coz, J., Branger, F., McMillan, H. K., and Pierrefeu, G.
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STREAM measurements ,STATISTICAL methods in streamflow ,HYDRAULICS - Abstract
Abstract: Stage measurement errors are generally overlooked when streamflow time series are derived from uncertain rating curves. We introduce an original method for propagating stage uncertainties due to two types of stage measurement errors: (i) errors of the stage read during the gauging and (ii) systematic and nonsystematic (independent) errors of the recorded stage time series. The error models are generic and can be used for any probabilistic rating curve estimation method that provides an ensemble of rating curves. The new method is applied to a range of six contrasting hydrometric stations in France. Uncertainty budgets quantifying the contribution of various error sources to the total streamflow uncertainty are computed and compared for streamflow time series averaged at time intervals from hour to year. A sensitivity analysis is conducted on the stage time series error model to identify the most sensitive parameters. The results are site specific, which illustrates the key role played by the properties of both the hydrometric site and the gauged catchment. Across the range of sites, stage errors of the gaugings are found to have limited impact on rating curve uncertainty, at least for gaugings performed in fair conditions. Nonsystematic errors in the stage time series have a negligible effect, generally. However, systematic stage errors should not be neglected. Over the six hydrometric stations in this study, the 95% uncertainty component reflecting stage systematic errors (from ±0.5 cm to ±6.8 cm) alone ranged from 4% to 12% of daily average streamflow, and from 1% to 3% of yearly average streamflow as sensors were assumed to be recalibrated every 30 days. Perspectives for improving and validating the streamflow uncertainty estimation techniques are eventually discussed. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
46. 2DH modelling of a reservoir flushing compared with LSPIV measurements
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Camenen, B., André Paquier, Bouarab, A., Le Coz, J., Guillaume Dramais, Linares, M., Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), aucun, and Sogreah
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PIV ,MODELE BIDIMENSIONNEL ,CHASSE ,[SDE]Environmental Sciences ,MODELE NUMERIQUE ,TRANSPORT SOLIDE ,SEDIMENT - Abstract
International audience; A reservoir flushing was completed on September 2008 in the Longefan reservoir (Arc en Maurienne River, France). This reservoir (approximately 300m×500m) is part of the EDF (French Electricity company) hydropower system. It is mainly used for the sedimentation of the water released from the upstream hydropower plant and for temporary storage for the next plant. LSPIV measurements were completed during the flushing event using three cameras covering the main zones of interest (entrance, main channel and exit). For each movie, biologically degradable chips were injected to produce visible patterns on the surface flow and facilitate the LSPIV processing. Two 2DH hy drodynamic models (Rubar20 and Telemac2D) were applied to the system and their results were compared to the experimental data. Advantages and limits of these models were discussed. In particular, the effects of water level and wind were studied as well as the direction of the jet entering the reservoir.
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- 2011
47. The old Rhine evolution since 1950 : historical aspects
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Arnaud, Fanny, Béraud, Claire, Piegay, H., Schmitt, L., Le Coz, J., Rollet, A.J., Johnstone, K., Hoenen, D., Béal, D., Environnement Ville Société (EVS), École normale supérieure - Lyon (ENS Lyon)-École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université Lumière - Lyon 2 (UL2)-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet [Saint-Étienne] (UJM)-École Nationale des Travaux Publics de l'État (ENTPE)-École nationale supérieure d'architecture de Lyon (ENSAL)-Centre National de la Recherche Scientifique (CNRS), Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA), Littoral, Environnement, Télédétection, Géomatique (LETG - Caen), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Brest (UBO)-École pratique des hautes études (EPHE)-Université de Nantes (UN)-Université d'Angers (UA)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 2 (UR2), Normandie Université (NU)-Normandie Université (NU), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-École nationale supérieure d'architecture de Lyon (ENSAL)-École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-École Nationale des Travaux Publics de l'État (ENTPE)-Université Jean Monnet [Saint-Étienne] (UJM)-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université Lumière - Lyon 2 (UL2)-École normale supérieure - Lyon (ENS Lyon), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), Environnement, Ville, Société (EVS), École normale supérieure de Lyon (ENS de Lyon)-École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-École Nationale des Travaux Publics de l'État (ENTPE)-École nationale supérieure d'architecture de Lyon (ENSAL)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-École nationale supérieure d'architecture de Lyon (ENSAL)-École des Mines de Saint-Étienne (Mines Saint-Étienne MSE)
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By-passed reach ,Diachronic analysis ,Rhine ,Dam ,[SDE]Environmental Sciences ,[SHS.GEO]Humanities and Social Sciences/Geography - Abstract
International audience; The 45 km-long reach of the Rhine River from Kembs to Breisach has been heavily impacted by engineering works during the last two centuries. The Kembs dam and the lateral “Grand Canal d’Alsace” achieved in 1959 induced significant decrease in sediment transport and diversion of most of the flow in the lateral canal so that the by-passed “Old Rhine” runs now a minimum flow (3% of the mean annual discharge during 300 days per year). Two combined approaches were performed to understand the Old Rhine morphological response to “dewatering”, peak flow reduction and sediment transport disruption in particular the vegetation expansion process and its potential feedback impacts on the channel hydraulics and the sediment transport: i) a space-time approach using series of aerial photographs and historical cross-sections and ii) 1D morphodynamic simulations (see the joined communication of Béraud et al.). Extents of water bodies, gravel bars, riparian vegetation (grasslands, shrubs, trees identified using differences in colour, texture and structure) and anthropogenic features were mapped every 10 years since the 1950s. Results show a strong channel narrowing and associated vegetation expansion until 1982. Tests conducted on the different dates underlined homogeneous segments and downstream progression of the processes through time, demonstrating different patterns of adjustments. Cross-sections of 1950 and 1990 were overlaid with land cover layers, demonstrating that incision and sedimentation areas are spatially linked with the planform changes. From these findings, we hypothesised that vegetation encroachment modified hydraulic conditions, enabling sediment transport, winnowing and deposition processes despite of peak flow reduction and armour layer development due to intense incision following channelization works. In order to test these causality hypothesis the mean sediment mobility along the homogeneous segments was assessed using 1D hydromorphodynamical simulations.
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- 2011
48. Interactions between channel dynamics and vegetation encroachment following damming. Example of the Old Rhine downstream of Kembs (1949-2009)
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Arnaud, F., Beraud, C., Piegay, H., Schmitt, L., Le Coz, J., Rollet, Anne-Julia, Johnstone, K., Hoenen, D., Béal, D., Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Environnement, Ville, Société (EVS), École normale supérieure de Lyon (ENS de Lyon)-École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université Lumière - Lyon 2 (UL2)-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-École Nationale des Travaux Publics de l'État (ENTPE)-École nationale supérieure d'architecture de Lyon (ENSAL)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Littoral, Environnement, Télédétection, Géomatique (LETG - Caen), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), Environnement Ville Société (EVS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-École nationale supérieure d'architecture de Lyon (ENSAL)-École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-École Nationale des Travaux Publics de l'État (ENTPE)-Université Jean Monnet [Saint-Étienne] (UJM)-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université Lumière - Lyon 2 (UL2)-École normale supérieure - Lyon (ENS Lyon), Université de Strasbourg (UNISTRA), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), École normale supérieure - Lyon (ENS Lyon)-École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet [Saint-Étienne] (UJM)-École Nationale des Travaux Publics de l'État (ENTPE)-École nationale supérieure d'architecture de Lyon (ENSAL)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Brest (UBO)-École pratique des hautes études (EPHE)-Université de Nantes (UN)-Université d'Angers (UA)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 2 (UR2), Normandie Université (NU)-Normandie Université (NU), and Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-École nationale supérieure d'architecture de Lyon (ENSAL)-École des Mines de Saint-Étienne (Mines Saint-Étienne MSE)
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Vegetation ,Diachronic analysis ,Rhine ,Dam ,[SDE]Environmental Sciences ,[SHS.GEO]Humanities and Social Sciences/Geography ,ComputingMilieux_MISCELLANEOUS ,Modelling ,Morphological adjustments - Abstract
International audience
- Published
- 2010
49. An estimation of gravel mobility over an alpine river gravel bar (Arc en Maurienne, France) using PIT-tag tracers
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Camenen, Benoit, Le Coz, J., Paquier, Andre, Lagouy, M., Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), and Bundesanstalt für Wasserbau
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EROSION FLUVIALE ,COURS D'EAU ,ARC COURS D'EAU ,MAURIENNE ,[SDE]Environmental Sciences ,Ingenieurwissenschaften (620) ,TRACEUR ,TRANSPORT SOLIDE ,SEDIMENT ,GALET ,ZONE DE MONTAGNE - Abstract
International audience; Passive Integrated Transducers (PIT) tag method to trace gravel particle is increasingly used to estimate gravel movements in mountainous rivers. Reported recovery percentages after one flood are often over 80%, demonstrating the effectiveness of this technique for small mountainous rivers. We used this technique to get detailed spatial information on particle movements on a gravel bar in an alpine river (Arc en Maurienne, France). Six patches have been placed on the gravel bar (three on the bar head in August 2008 and three along the secondary channel in June 2009). During this period, the main events correspond to flushing events of the upstream dams and reservoirs by dam managers, as well as short high flow periods in May 2009 due to snow melt. Only these events have an impact on the gravel bar since it is dry for lower flows. First results with PIT-tag technique indicate a very strong erosion of the head of the bar, especially on the side of the main channel. Two sample plots have been totally eroded and marked particles have moved to the main channel after the first and the second flushing events, respectively. The secondary channel shows lower dynamics. Recovery percentages were approximately 80% after each event until marked gravels reached the main channel through the first connecting cross-channel. Travel distances were independent of the particle diameter (40 to 300mm). The downstream part of the secondary channel and the tail of the gravel bar were not affected by the last flushing event in June 2009. Most of the surface of the downstream part of the gravel bar was dry during this event as a consequence of the May 2008 flood that significantly eroded the main channel. As a first conclusion, the PIT-tag method yields interesting results for the gravel bar dynamics but the investigation domain is limited in space (and time) for our study case. Indeed, we were not able to recover PIT-tag in the main channel and downstream.
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- 2010
50. Challenges in hydrometry: some examples from France
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Le Coz, J., Hydrologie-Hydraulique (UR HHLY), and Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
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DOPPLER ,VITESSE ,[SDE]Environmental Sciences ,MESURE ,ECOULEMENT A SURFACE LIBRE ,JAUGEAGE ,TRAITEMENT D'IMAGES - Abstract
International audience; In France, the national stream flow measurement network is ruled by the Ministry of Environment through Regional Environment Agencies (DIREN) and Flood Forecast Services (SPC/SCHAPI). Other organizations such as hydropower producers (EDF, CNR), the waterways office (VNF), research institutes (e.g. IRD in Brazil and Africa) also produce hydrometric data. The main gauging techniques are the velocity-area method (currentmeters), Doppler profilers (aDcp) and chemical dilution. Some efforts are needed to improve and quantify the quality of discharge measurements, and also to diversify the range of measuring techniques available to practitioners. In close connection with hydrometry services, research projects are being conducted on conventional and innovating instruments and techniques for flow measurement. In particular, the following issues are currently investigated: rating curves assessment and extension, uncertainties associated with various gauging methods (especially aDcp), evaluation of horizontal Doppler profilers (H-aDcp), video-based flash-flood monitoring (LSPIV).
- Published
- 2008
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