1 / 11

UNESCO-IHE Institute for Water Education, Delft (member of NCR, Netherlands) Prof. R.K. Price

Novel approaches to modelling floods: data-driven and hybrid modelling, managing risk and uncertainty [ FLOOD site FP6 project]. UNESCO-IHE Institute for Water Education, Delft (member of NCR, Netherlands) Prof. R.K. Price Dr. D.P. Solomatine (presenting, sol@ihe.nl ) www.ihe.nl/hi.

ayala
Download Presentation

UNESCO-IHE Institute for Water Education, Delft (member of NCR, Netherlands) Prof. R.K. Price

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Novel approaches to modelling floods:data-driven and hybrid modelling, managing risk and uncertainty[ FLOODsite FP6 project] UNESCO-IHE Institute for Water Education, Delft (member of NCR, Netherlands) Prof. R.K. Price Dr. D.P. Solomatine (presenting, sol@ihe.nl ) www.ihe.nl/hi

  2. Modelling • Physically-based modelling: • integrated meteorological, reservoir control, rural and urban catchment runoff, channel-flood plain routing, estuary and coastal water surges • integrated monitoring and modelling for reliable updating • Novel complementary approaches: data-driven modelling (computational intelligence) • flood forecasting using artificial neural networks • remote sensing images classification using Kohonen neural networks and support vector machines • pattern recognition of radar images for rainfall forecasting • Hybrid modelling in integrated modelling frameworks • combination of different modelling paradigms EU-FP6: Floods. IHE-Delft.

  3. Knowledge transfer • Platform-based community of practice focussed on best practices and incorporating dynamic knowledge bases with case studies • Modelling systems laboratory accessible by Internet • Continuing professional development including courses on Flood management and modelling: • combination of e-learning and face-to-face • training based on extensive use of modelling tools • licensing of modelling practitioners EU-FP6: Floods. IHE-Delft.

  4. UNSECO-IHE: research group in Hydroinformatics • 4 lecturers and researchers, all with PhD titles • 3 PhD students • 120 publications in the last 5 years • main area of expertise: novel approaches in water-related modelling, including data mining and computational intelligence • experience in 6 EU projects during the last 5 years: • TELEFLEUR (Flood emergencies in urban areas) • ELTRAMOS - Electronic trading of modelling services and assets for engineering small and medium enterprises and institutes • ETNET 21 ENVIRONMENT-WATER - European Thematic Network of Education and Training for Environment-Water • OSIRIS - Operational Solutions for the Management of Inundation Risks in the Information Society • projects related to education EU-FP6: Floods. IHE-Delft.

  5. OSIRIS: Operational Solutions for the Management of Inundation Risks in the Information Society • Main objectives: • Increase awareness • Efficient protection measures • Improve quality of information and modelling • Access to information • Results oriented towards: • Basin managers • Emergency centres • Concerned citizens End User Sites Members: SOGREAH (France), IMWM (Poland), BTUC (Germany), Italy and others. IHE’s main contribution: • Quality of information and modelling: uncertainty management EU-FP6: Floods. IHE-Delft.

  6. Uncertainty Issues to be Addressed Characterization: • Quantitative and Qualitative uncertainty Methods for representation and propagation: • Probability theory-based (quantitative uncertainty) • Fuzzy set theory-based (qualitative uncertainty) Future vision: • Quantitative/qualitative concept to risk quantification • Develop generic tool that integrates both approaches • Uncertainty/risk based warning systems EU-FP6: Floods. IHE-Delft.

  7. Architecture of a hydroinformatics system for flood warning (EU TELEFLEUR project) EU-FP6: Floods. IHE-Delft.

  8. TELEFLEUR project: interface to the flood warning DSS EU-FP6: Floods. IHE-Delft.

  9. (w . x) + b = 0 x2 (w . x) + b < 0 (w . x) + b > 0 support vector machines x1 weights weights a ij b jk x 1 y1 u 1x x 2 y2 y3 x 3 u s x n ym Hidden layer Inputs Outputs Using computational intelligence (machine learning) in flood forecasting neural networks committee machines EU-FP6: Floods. IHE-Delft.

  10. Experience in software development and integration neural network modelling system EU-FP6: Floods. IHE-Delft.

  11. We would like to complement partners that: • have expertise in flood-related issues • recognise the importance of new approaches to modelling • are fun to work with EU-FP6: Floods. IHE-Delft.

More Related