EGU 2017 - Call for abstracts

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Offline Maksuda Akter Rubi

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EGU 2017 - Call for abstracts
« on: November 17, 2016, 03:15:20 PM »
EGU 2017 - Call for abstracts (Submission deadline: Jan 11, 2017, Financial support application deadline: Dec 1, 2016)
If you are working with computational intelligence methods for your research on hydrological sciences and/or water resources management, you are cordially invited to submit an abstract for the following session:
"HS3.1 Hydroinformatics: computational intelligence, systems analysis, optimisation, data science"
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. 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. The main topics will address the following classes of methods and technologies:
* Predictive and analytical models based on the methods of statistics, computational intelligence and data science: neural networks, fuzzy systems, support vector machines, genetic programming, cellular automata, chaos theory, etc.
* Methods for the analysis of complex data sets, including remote sensing data: principal and independent component analysis, feature extraction, time series analysis, data-infilling, information theory, etc.
* Specific concepts and methods of Big Data and Data Science such as data thinning, data fusion, information integration
* Optimisation methods associated with heuristic search procedures: various types of genetic and evolutionary algorithms, randomised and adaptive search, ant colony, particle swarm optimisation, etc.
* Applications of systems analysis and optimisation in water resources
* Hybrid modelling involving different types of models both process-based and data-driven, combination of models (multi-models), etc.
* Data assimilation and model reduction in integrated modelling
* Novel methods of analysing model uncertainty and sensitivity
* Appropriate software architectures for linking different types of models and data sources
Read more about how to submit an abstract:…/how_to_submit_an_abstract.html
CO Meeting Organizer EGU2017