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Publications

Publications

2025

  • Modelling the hydrodynamic response of a floating offshore wind turbine – a comparative study
    • Yu Shimin
    • Ransley Edward
    • Qian Ling
    • Zhou Yang
    • Brown Scott
    • Greaves Deborah
    • Hann Martyn
    • Holcombe Anna
    • Edwards Emma
    • Tosdevin Tom
    • Jagdale Sudhir
    • Li Qian
    • Zhang Yi
    • Zhang Ningbo
    • Yan Shiqiang
    • Ma Qingwei
    • Tagliafierro Bonaventura
    • Capasso Salvatore
    • Martínez-Estévez Iván
    • Göteman Malin
    • Bernhoff Hans
    • Karimirad Madjid
    • Domínguez José
    • Altomare Corrado
    • Viccione Giacomo
    • Crespo Alejandro J.C.
    • Goméz-Gesteira Moncho
    • Eskilsson Claes
    • Fernandez Gael Verao
    • Andersen Jacob
    • Palm Johannes
    • Niosi Francesco
    • Dell'Edera Oronzo
    • Sirigu Massimo
    • Ghigo Alberto
    • Bracco Giovanni
    • Cui Fuyin
    • Chen Shuling
    • Wang Wei
    • Zhuo Yueyue
    • Li Yang
    • Peyrard Christophe
    • Benguigui William
    • Barcet Matthieu
    • Robaux Fabien
    • Benoit Michel
    • Teles Maria
    • Ntouras Dimitris
    • Manolas Dimitris
    • Papadakis George
    • Riziotis Vasilis
    • Zheng Zhiping
    • Lei Weicheng
    • Wang Ruizhi
    • Chen Jikang
    • Shao Yanlin
    • Visbech Jens
    • Bingham Harry
    • Engsig-Karup Allan
    • Zhou Yiming
    • Cai Yefeng
    • Zhao Haisheng
    • Shi Wei
    • Li Xin
    • Zeng Xinmeng
    • Xue Yingjie
    • Zhuang Tiegang
    • Wan Decheng
    • Engel Gaspard
    • Tierno Matthieu
    • Ducrozet Guillaume
    • Bouscasse Benjamin
    • Leroy Vincent
    • Ferrant Pierre
    • Barajas Gabriel
    • Lara Javier
    Applied Ocean Research, Elsevier, 2025, 155, pp.104441. (10.1016/j.apor.2025.104441)
    DOI : 10.1016/j.apor.2025.104441
  • Meteorological Conditions Influence the Migration of a Marine Dune Field in the Southern North Sea
    • Durand Noémie
    • Tassi Pablo
    • Blanpain Olivier
    • Lefebvre Alice
    Journal of Geophysical Research: Earth Surface, American Geophysical Union/Wiley, 2025, 130 (1). A field of marine dunes has been studied in the Southern Bight of the North Sea. These large dunes, 1–5 m in height and several hundred meters in length, are highly mobile: migration rates of up to 30 m/year have been observed in places. The area is dominated by tides and is characterized by strong currents. Winds are predominantly from the southwest and, to a lesser extent, from the north. A large‐scale 3D numerical model was used to simulate the migration of this dune field over time. It is based on the process‐based openTELEMAC system. The model has been calibrated and validated against in situ bathymetric data and is therefore suited to our objective: to explore the contribution of weather (wind and atmospheric pressure) to the propagation of large marine dunes, in relation to that of tidal currents. To do this, a 4‐month period was simulated, with and without meteorological effects being taken into account in the numerical model. The results highlight the fundamental role of wind conditions in an accurate representation of seabed changes over time. They also show how meteorological events that are different from the prevailing conditions influence the short‐term evolution of the dune field. (10.1029/2024JF007731)
    DOI : 10.1029/2024JF007731
  • Flow patterns in shallow rectangular reservoirs with open channel inlet or pipe flow inlet at various depths: An experimental study
    • Chagdali El Mehdi
    • El Kadi Abderrezzak Kamal
    • Erpicum Sébastien
    • Goeury Cédric
    • Secher Matthieu
    • Dewals Benjamin
    International Journal of Sediment Research, Elsevier, 2025, 40 (2), pp.209-221. This study experimentally assesses the influence of varying the inlet boundary condition on the flow patterns in rectangular shallow reservoirs. Two types of inlet boundary conditions were compared: a free surface inlet channel, and a pressurized circular inlet jet positioned at three different elevations over the flow depth (centroid of the inlet jet situated at 25%, 50%, or 75% of the flow depth). The outlet boundary condition was a free surface channel in all cases. Twenty-two experiments were done with two distinct reservoir lengths (length-to-width ratios of 1.1 and 2.0) and three hydraulic boundary conditions (Froude numbers of 0.14, 0.16, and 0.21). Velocity fields were measured with Large-Scale Particle Image Velocimetry (LSPIV) at the surface, and with an Acoustic Doppler Velocity Profiler(ADVP) at several cross sections. The flow patterns are greatly influenced by the inlet boundary condition and the reservoir geometry, but to a lesser extent by the hydraulic boundary condition. For an inlet circular jet located near the reservoir bottom, an unstable flow type, changing over time in a chaotic manner, was observed regardless of the reservoir length and of the inlet flow rate. The same type of unstable flow pattern was observed for a relatively long reservoir and the lowest tested flow rate, irrespective of the vertical positioning of the inlet jet. In all other tested configurations, a steady reattached jet was found in the reservoir equipped with a pressurized inlet jet. In addition to providing new knowledge on flow patterns in shallow reservoirs with an inlet jet, the experimental data presented here will prove valuable for evaluating flow computational models. (10.1016/j.ijsrc.2025.01.004)
    DOI : 10.1016/j.ijsrc.2025.01.004
  • Faster than real-time, phase-resolving, data-driven model of wave propagation and wave–structure interaction
    • Harris Jeffrey
    Applied Ocean Research, Elsevier, 2025, 154, pp.104291. A machine learning time-series prediction approach is proposed for wave propagation and wave load prediction. Under unidirectional wave conditions and variable bathymetry, given a wave gauge upstream, a model is shown to reproduce wave elevation or wave forces downstream under irregular steep and either non-breaking or breaking conditions. Attempts to perform the opposite calculation, predicting upstream conditions from downstream measurements, results in higher error, likely due to information loss under breaking conditions. For choice of machine learning approach, comparisons show that the Time-series Dense Encoder (TiDE) approach results in a good balance between model complexity, stability, computational time, and error. Over a flat bottom, time-series of wave elevation can be predicted up to 10 wavelengths away, though with a degraded accuracy compared to shorter distances. Similar results are shown for time-series of forces on a vertical cylinder, showing better results than a simple Morison approach, as used in engineering tools such as OpenFAST, but with a similarly fast computational time. Generalizations show that training on irregular wave data permit extrapolations to periodic wave cases. Finally, the same method also is also demonstrated at field-scale, comparing results between two offshore buoys. (10.1016/j.apor.2024.104291)
    DOI : 10.1016/j.apor.2024.104291
  • Modeling Solute Transport in Rivers: Analytical and Numerical Solutions
    • Bey-Zekkoub Mohamed
    • Tassi Pablo
    • Lucas Carine
    • Chhim Norinda
    Environmental Modelling and Software, Elsevier, 2025, pp.106580. This study presents a novel analytical framework for modeling one-dimensio- nal solute transport in rivers, integrating advection, rate-limited adsorption on suspended sediments, and first-order degradation. Analytical solutions are used to validate the numerical scheme’s accuracy under idealized conditions, tested for instantaneous and continuous pollutant discharges. The research importantly investigates short-term solute accumulation in riverbeds, a crit- ical yet understudied process that affects sediment transport and pollutant fate. Applicable to a wide range of contaminants (e.g., nutrients, pesti- cides), the framework aids water quality assessment, pollution control, and risk mitigation. Implemented in the open-source SWASHES library, these solutions provide practical tools for decision-support systems and serve as reliable benchmarks to validate numerical models. By addressing transient and persistent pollutant scenarios, this work enhances predictive capabili- ties for environmental management. The approach bridges analytical and numerical methods, offering a robust foundation for simulating solute trans- port across industrial and ecological contexts, advancing sustainable water resource management. (10.1016/j.envsoft.2025.106580)
    DOI : 10.1016/j.envsoft.2025.106580
  • Usages récréatifs des cours d'eau : activités sportives en eau libre
    • Carmigniani Rémi Arthur
    • Guillot - Le Goff Arthur
    • Brigitte Vinçon-Leite
    Transitions. Les nouvelles Annales des Ponts et Chaussées, École des Ponts ParisTech et Presses des Ponts, 2025, L’eau sous contraintes : un objet d’étude à l’intersection de multiples recherches (5), pp.111.
  • Evaluating the effects of preprocessing, method selection, and hyperparameter tuning on SAR-based flood mapping and water depth estimation
    • Travert Jean-Paul
    • Goeury Cédric
    • Boyaval Sébastien
    • Bacchi Vito
    • Zaoui Fabrice
    , 2025. Flood mapping and water depth estimation from Synthetic Aperture Radar (SAR) imagery are crucial for calibrating and validating hydraulic models. This study uses SAR imagery to evaluate various preprocessing (especially speckle noise reduction), flood mapping, and water depth estimation methods. The impact of the choice of method at different steps and its hyperparameters is studied by considering an ensemble of preprocessed images, flood maps, and water depth fields. The evaluation is conducted for two flood events on the Garonne River (France) in 2019 and 2021, using hydrodynamic simulations and in-situ observations as reference data. Results show that the choice of speckle filter alters flood extent estimations with variations of several square kilometers. Furthermore, the selection and tuning of flood mapping methods also affect performance. While supervised methods outperformed unsupervised ones, tuned unsupervised approaches (such as local thresholding or change detection) can achieve comparable results. The compounded uncertainty from preprocessing and flood mapping steps also introduces high variability in the water depth field estimates. This study highlights the importance of considering the entire processing pipeline, encompassing preprocessing, flood mapping, and water depth estimation methods and their associated hyperparameters. Rather than relying on a single configuration, adopting an ensemble approach and accounting for methodological uncertainty should be privileged. For flood mapping, the method choice has the most influence. For water depth estimation, the most influential processing step was the flood map input resulting from the flood mapping step and the hyperparameters of the methods. (10.5194/egusphere-2025-3726)
    DOI : 10.5194/egusphere-2025-3726
  • Capteurs en ligne et modèles prédictifs : des plateformes numériques pour surveiller la qualité microbiologique des milieux aquatiques urbains
    • Guillot - Le Goff Arthur
    • Carmigniani Rémi Arthur
    • Brigitte Vinçon-Leite
    Transitions. Les nouvelles Annales des Ponts et Chaussées, École des Ponts ParisTech et Presses des Ponts, 2025, L’eau sous contraintes : un objet d’étude à l’intersection de multiples recherches (5), pp.37.
  • A comparison of eight weakly dispersive Boussinesq-type models for non-breaking long-wave propagation in variable water depth
    • Coulaud Guillaume
    • Teles Maria
    • Benoit Michel
    Coastal Engineering, Elsevier, 2025, 195, pp.104645. Weakly dispersive Boussinesq-type models are extensively used to model long-wave propagation in coastal areas and their interaction with coastal infrastructures. Many equations falling in this category have been formulated during the last decades, but few detailed comparisons between them can be found in the literature. In this work, we investigate theoretically and with computational experiments eight variants of the most popular models used by the coastal engineering community. Both weakly nonlinear and fully nonlinear models are considered, hoping to understand better when the additional complexity of the latter class of models is necessary or justified. We provide an overview and discuss the properties of these models, including the linear dispersion relation in uniform water depth, the second-order nonlinear coupling coefficient, the shoaling gradient, and the sensitivity to wave trough instabilities. The models are then numerically discretised using the same general strategy in a single numerical code, using fourth-order methods for time and space discretisation. Their capacity to simulate coastal wave propagation and their transformation when approaching the shore is assessed on three challenging one-dimensional benchmarks. It appears that fully nonlinear models are more consistent than their weakly nonlinear counterparts, which can occasionally perform better but show different behaviours depending on the case. (10.1016/j.coastaleng.2024.104645)
    DOI : 10.1016/j.coastaleng.2024.104645
  • Three-dimensional numerical modeling of sediment transport in a highly turbid estuary with pronounced seasonal variations
    • Do Thi-Kim-Anh
    • Huybrechts Nicolas
    • Jalón-Rojas Isabel
    • Tassi Pablo
    • Sottolichio Aldo
    International Journal of Sediment Research, Elsevier, 2025, 40 (2), pp.333-347. Simulating sediment dynamics in a large and energetic estuary system remains challenging, primarily due to the spatial and temporal complexities of the interaction between flow and sediment transport, especially for sand-mud mixtures. This study uses a three-dimensional (3D) numerical model, based on the open TELEMAC system, to investigate the dynamics of suspended sediment concentration (SSC) in the Gironde Estuary, a complex estuarine environment characterized by an estuarine turbidity maximum (ETM) and significant variations in river discharge. The main contributions of this study include addressing the challenges of coupling bed friction with sediment transport of the sand-mud mixture for feedback on bed roughness and bottom depth changes and the ability of the model to capture the migration of ETM from high to low flow. Additionally, the current study analyzes the ability of the model to capture the migration of ETM from high to low flow, and it utilizes a calibration strategy that minimizes parameters by using in situ data and encompassing hydroemorpho-sedimentary interactions. A sensitivity analysis was done using different settling velocity approaches and sediment classes to establish an optimal model configuration and the uncertainty associated with the reduced model parameterization is discussed. The model satisfactorily reproduces the hydrodynamic features, particularly when the hydro-sedimentary feedbacks are taken into account, the seasonal trend of SSC, springneap variations, and the development of a well-defined ETM. The selection of a specific formulation for the settling velocity influences the location and magnitude of ETM. The van Leussen formula not only predicts a broad movement of ETM from high to low river flow, but also predicts high turbidity for extended periods during low river flow. Conversely, two empirical formulas from Le Hir and Defontaine predicted the highest turbidity during neap tides but sediment losses during prolonged simulations. The results of this study contribute to a deeper understanding of sediment dynamics in the Gironde Estuary, providing valuable information for future estuarine modeling and management. (10.1016/j.ijsrc.2024.12.003)
    DOI : 10.1016/j.ijsrc.2024.12.003