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Titlebook: Advances in Hydroinformatics—SimHydro 2023 Volume 2; New Modelling Paradi Philippe Gourbesville,Guy Caignaert Conference proceedings 2024 T

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發(fā)表于 2025-3-21 18:42:00 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Hydroinformatics—SimHydro 2023 Volume 2
期刊簡稱New Modelling Paradi
影響因子2023Philippe Gourbesville,Guy Caignaert
視頻videohttp://file.papertrans.cn/168/167273/167273.mp4
發(fā)行地址Presents selected papers from the SimHydro 2023 conference held in EDF Lab Chatou, France.Describes the state of the art in the modeling and simulation of water issues.Includes the latest developments
學科分類Springer Water
圖書封面Titlebook: Advances in Hydroinformatics—SimHydro 2023 Volume 2; New Modelling Paradi Philippe Gourbesville,Guy Caignaert Conference proceedings 2024 T
影響因子.This book includes a collection of extended papers based on presentations given during the SimHydro 2023 conference, held in EDF Lab Chatou, France, with the support of? Société Hydrotechnique de France (SHF), the Association Fran?aise de Mécanique (AFM), the Environmental and Water Resources Institute (EWRI), and the International Association for Hydro-Environment Engineering and Research (IAHR). SimHydro conferences, since 2010, have created a regular forum where major actors of the hydroinformatics domain and stakeholders meet, share, and debate about needs, innovations, and implementations of models and their inputs for decision making. For this new edition, the general theme of the conference is focused on “New modelling paradigms for water issues”. The papers address some of the key challenges faced by the water modelling community regarding processes to simulate such as water services, extreme events (floods, droughts, etc.), and hydrological cycle at catchment scale and to assess the added value of emerging concepts and methods such as Artificial Intelligence (AI) and Digital Twins that are gaining interests. It addresses the interests of practitioners, stakeholders, resea
Pindex Conference proceedings 2024
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Which Framework for Optimal Low Flow Modeling in a Warming Climate?, model calibration. We evaluated five objective functions derived from the Kling–Gupta Efficiency (KGE) metric. We found that the KGE applied to Q. produces the smallest errors, especially during low flow months. Finally, our modeling framework is used to parameterize a semi-distributed version of P
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Uncovering a Palaeotsunami Triggered by Mass Movement in an Alpine Lake,ing a visco-plastic landslide model for tsunami source generation and two-dimensional depth-averaged nonlinear shallow water equations for tsunami wave propagation and inundation modelling. Our simulations conclude that this sublacustrine landslide produced a tsunami wave with a maximum amplitude of
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TELEMAC-2D Upgrades: Rainfall Spatialization and Control Sections, assigns to each node of the TELEMAC-2D mesh the value of the nearest rain pixel. We have applied this method for rainfall-runoff hydrodynamic model of the Real Collobrier catchment in the Var, with a surface area of about 92?km.. New variables are also added to the control section module of TELEMAC
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On the Application of Physics-Informed Neural Networks in the Modeling of Roll Waves, for 1D roll wave instabilities. PINNs were used to predict wave interface heights and average streamwise velocities, which were compared to reference numerical data to assess accuracy. Results showed that PINNs accurately predicted roll wave properties such as frequency and wavelength. Wave heights
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