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Advances in Hydroinformatics—SimHydro 2023 Volume 1 New Modelling Paradigms for Water Issues /

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 Française de Mécanique (AFM), the Environmental and Water Resources Institu...

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Korporativní autor: SpringerLink (Online service)
Další autoři: Gourbesville, Philippe (Editor), Caignaert, Guy (Editor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Vydání:1st ed. 2024.
Edice:Springer Water,
Témata:
Water.
Hydrology.
Environmental engineering.
Civil engineering.
Mathematics > Data processing.
Geographic information systems.
Environmental Civil Engineering.
Computational Science and Engineering.
Geographical Information System.
On-line přístup:https://doi.org/10.1007/978-981-97-4072-7
Tagy: Přidat tag
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Obsah:
  • Development of robust and efficient methods for hydraulic/hydrologic/environmental risk numerical simulation
  • Coupling Mage with Melissa to compute ubiquitous Sobol indices for river hydraulics
  • Comparison between HEC-RAS and TELEMAC-2D hydrodynamic models of the Loire River, integrating levee breaches
  • Digital twin technologies for flood management in large catchment: challenges and operational solution
  • Assessment of flood vulnerability through a multidimensional index
  • Hydrodynamic modelling of Seine Bay and Estuary in moderate and extreme conditions: with a focus on Johanna storm
  • Evaluation of Machine Learning approaches for Flood Hazard Mapping over the Argens basin, France
  • BASEMENT v4 - a multipurpose modelling environment for simulation of flood hazards and river morphodynamics across scales
  • A combined pipe and overland flow model to support urban flood risk management: case study of the Espartes watershed
  • Fast prediction of flood maps based on machine learning techniques: application to marine flooding at Arcachon Lagoon (Gironde, France)
  • On the application of machine learning into flood modeling: data consideration and modeling algorithm
  • River stage prediction using Hydrodynamic Modeling
  • Hydraulic Modelling for Flood Inundation Mapping to Assess the Impact of Check Dam in Araniyar River.

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