Information - HS1 Hydroinformatics (co-listed in NH)
Event Information
Hydroinformatics has emerged over the last decade to become a recognised and established field of independent research within the hydrological sciences. This dedicated application of modern computational technologies offers a powerful set of potential hydrological opportunities that could transform or revolutionize certain aspects of traditional modelling, operational planning and decision-making. Hydroinformatics is about the development of improved solutions and offers fresh approaches based on closer associations with the developing fields of computer science and knowledge engineering. It seeks to encourage superior methods of information handling in terms of processing and management. It also attempts to provide a better understanding of quantitative and qualitative issues through the development of simulation, optimization, visualization and knowledge-based hydrological applications. The tools and mechanisms on offer will be used to develop improved technical and business decision making capabilities within the water industries and are destined to become essential components in the latest computer-based decision-support solutions that are starting to enter more and more into the offices of consulting engineers, water authorities and government agencies.
The aim of this session is to provide an active forum in which to demonstrate and discuss the integration and appropriate application of emergent computational technologies in a hydrological modelling context. Particular emphasis will be placed on the shifting relationship between the developing toolbox of computational methods and more traditional statistical or numerical approaches. Topics of interest are expected to cover a broad spectrum of theoretical and practical activities that would be of interest to hydro-scientists and water-engineers in a number of specialist sub-fields. The main agenda will address the use of smart technologies: which includes intelligent search, neural networks, genetic algorithms, genetic programming, cellular automata, agent-based systems and soft computing or fuzzy-logic approaches. Potential papers might cover real time modelling applications or the assessment of experimental data sets; fields of investigation could range from discharge or sediment forecasting to novel methods of interpretation or communication.
Preliminary List of Solicited Speakers
Co-Sponsorship
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