Skip to main content
Masino river (Credit: Christian Massari, distributed via imaggeo.egu.eu)

HS Hydrological Sciences Subdivision on Hydroinformatics

EGU logo

European Geosciences Union

Division on Hydrological Sciences
hs.egu.eu

Subdivision on Hydroinformatics

Chair: Emmanouil Varouchakis

hydroinformatics.jpg

Hydroinformatics has emerged over the last decade to become a recognised and established field of independent research within the hydrological sciences. Hydroinformatics is concerned with the development and hydrological application of mathematical modelling, information technology, systems science and computational intelligence tools. It provides the computer-based decision-support systems that are now entering more and more into the offices of consulting engineers, water authorities and government agencies. Tools for capturing data, on both a mega-scale and a milli-scale, are immense and still emerging. As a result we have to face the challenges of Big Data: large data sets, both in size and complexity. Methods and technologies for data handling, visualization and knowledge acquisition are more and more often referred to as Data Science.

An important are of data analysis is geostatistics, which is likely to have a larger impact in the future - especially as the needs for both short and long-term water management planning and mitigation of extreme hydrological events (e.g. droughts and floods) are expected to increase. This sub-division deals with the new and innovative geostatistical applications in spatial modeling, spatio-temporal modeling, spatial reasoning and data mining, spatial dynamics of natural events (e.g. morphological changes), generalization and optimization of spatial models, monitoring networks optimization, and other issues.

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 and data analysis 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:

Applications could belong to any area of hydrology or water resources: rainfall-runoff modelling, flow forecasting, sedimentation modelling, analysis of meteorological and hydrologic data sets, linkages between numerical weather prediction and hydrologic models, model calibration, model uncertainty, optimisation of water resources, geostatistics, etc.