SimHydro conferences, since 2010, have created a regular forum where major actors of the hydroinformatic domain and stakeholders meet, share and debate about needs, innovations and implementations of models and their inputs for decision making. The various sessions of SimHydro 2023 will cover these dimensions and will offer to the participants the possibility to share and exchange with scientists, practitioners and decision makers.

The SimHydro 2023 conference is jointly organized by the Société Hydrotechnique de France (SHF), the Association Française de Mécanique (AFM), the Environmental & Water Resources Institute (EWRI) and the International Association for Hydro-Environment Engineering and Research (IAHR).

Following the 6 past successful events in 2010, 2012, 2014, 2017, 2019 and 2021, the next SimHydro Conference will be held from November 8 to November 10 2023 at EDF LAB Chatou, France. Technical visits of the lab will offered to the participants during the event. The conference will run on-site only.

For this new edition, the general theme of the conference will be focused on “New modelling paradigms for water issues?”. The objective is to 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.), 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. In addition to the recurrent topics of the conference, SimHydro will focused sessions around 3 major themes:

  • Models for droughts, floods and water sharing strategies: Over the last two years, many regions of the world have faced one of the most exceptional drought events of the past 50 years. In a similar way, extreme flooding took place in numerous locations in Europe and worldwide with a significant increase of the damages and affected population such as in Pakistan. Under those exceptional circumstances, once again the need for modelling tools able to address and to anticipate this type of situation has been underlined for the development of sustainable water sharing strategies. Obviously the innovative approaches regarding waste water treatment for water reuse and recycle have gained interest and appear on the list of operational solutions. A holistic approach is called and requests efficient modelling tools. In this context, the current modelling approach needs to be updated and to integrate a wider spectrum of processes to be able to formulate proper management strategies encompassing water uses, natural environment preservation and water related hazards mitigation. 
  • Artificial Intelligence (AI) for water issues: With the availability of computational resources and real-time communication protocols, the Artificial Intelligence (AI) methods and tools are flowing within all scientific and technical sectors including the water domain. The massive deployment of those tools is obviously attracting interest of the water community as they offer the possibility to address complex problems and can potentially support real-time operations that represent a major step for many professionals engaged within operations. However, if the perspectives look promising, the practical development and implementation requests to go through a critical and validation process that is not yet fully formalized. Based on the latest AI developments and the most recent implementations in the water domain, the plenary session will address the added value of the AI approaches and the associated challenges that should be understood by the water community. 
  • Digital twins: The concept digital twin is gaining interest in the water community and especially for water services. The virtual representation of devices and water systems is the logic “next step” following the SCADA deployment that has been already used for decades. The digital twins have demonstrated their efficiency in mechanical sector and obviously for the energy production related domain. The ambition to address water networks to improve their efficiency and performance requests to integrate an increased complexity that is not formalized within the current scope of digital twins. Within this perspective, the deployment of the digital twin concept to catchments represents even a greater challenge. The session will address the latest developments for digital twins in hydropower production, water services and water resources management.

The SimHydro conference is mainly targeting the European audience and endeavours to collect high value papers that will be published in SCI scientific journals and in a specific book (Advances in Hydroinformatics) with Springer like for the 5 previous editions. Over the last 6 years, the published chapters have been downloaded more than 250 000 times. All submitted papers are going through a peer review process (2 reviews from the scientific committee) before receiving final approval for oral presentation and publication.

English will be the conference language.

Main Themes                                 

  • Models for droughts, floods and water sharing strategies
  • AI for water issues
  • Digital twins
  • Hydro-environmental issues and extreme situations
  • Uncertainties and data assimilation
  • AI solutions for water
  • Intensive computing for hydraulic simulations
  • Extreme in hydraulics: how to deal with?
  • Decision Support System and models: concepts, design, challenges, implementation and operation
  • Real time management and models
  • Hydraulic structures and networks: real time operation
  • Scale models in hydraulics and their place and complementary in simulation concepts
  • Modelling methods and tools for floods management
  • 3D multi-phase flows (experiments and modelling)
  • Hydraulic machinery
  • Diphasic flows and cavitation
  • Modelling in ecohydraulics and morphology


Models, Simulation, droughts, floods, water sharing strategies, water services, wastewater treatment, water reuse and recycle, AI, digital twins, uncertainties, real time, high performance computing, DSS, scale models and numerical simulation, machinery, ecohydraulics, morphology.

Scientific committee

  • Aronne Armanini (Trento University – IT)
  • David Fortune (University of Exeter – UK)
  • D.M. Ingram (University of Edinburgh – UK)
  • Christophe Coulet (ARTELIA – FR)
  • Jean Cunge (SHF – FR)
  • Yann Le Coarer (INRAE – FR)
  • Gislain Lipeme (INSA Lyon – FR) 
  • Pierre Maruzewski (EDF – DPIH – FR)
  • Farid Mazzouji (GE – Hydro Power- FR) 
  • Edie Miglio (Polytechnica di Milano – IT)
  • Stéphane Mimouni (EDF – FR) 
  • Giorgio Pavesi (Università di Padou – IT) 
  • Vincent Rebour (IRSN – FR)
  • Véronique Roig (IMFT – FR)
  • Sébastien Roux (CNR – FR)
  • Pierre Ruyer (IRSN – FR)
  • Albert Ruprecht (Stuttgart University – DE) 
  • Patrick Sauvaget (SHF – FR)
  • Rudolf Schilling (Munich University – DE) 
  • Anton Schleiss (EPF)L – CH)
  • Théophile Terraz (INRAE – FR)
  • Olivier Thual (Toulouse University – FR) 
  • Ezio Todini (Bologna University – IT) 
  • Brigitte Vinçon Leite (ENPC – FR) 
  • Damien Violeau (EDF-LNHE – FR)

Organizing committee

  • M. Abily (ICRA, Spain)                                                                            
  • O. Bertrand (ARTELIA, France)
  • S. Bourban (EDF, France)                                
  • G. Caignaert (Arts et Métiers Paristech, France)
  • F. X Cierco (CNR, France)
  • G. De Cesare (EPFL, Switzerland))
  • O. Delestre (Polytech Nice Sophia – University Côte d’Azur, France)
  • O. Fouché-Grobla (Le Cnam, France)                                   
  • B. Geisseler (Geisseler Law Firm, Germany)              
  • Ph. Gourbesville (Polytech Nice Sophia – University Côte d’Azur, France)
  • S.Y Liong (NUS, Singapore)
  • C. Münch (HEVS, Switzerland)  
  • V.T.V Nguyen (McGill University, Canada)
  • Ph. Sergent (CEREMA, France)
  • P. Tassi (EDF, France)
  • P.L. Viollet (SHF, France)