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Susana Ochoa Rodríguez Research Assistant Urban Water Research Group (UWRG)

DIANE-CM PROJECT: D ecentralised I ntegrated An alysis and E nhancement of A wareness through C ollaborative M odelling and Management of Flood Risk . Susana Ochoa Rodríguez Research Assistant Urban Water Research Group (UWRG) Imperial College London. Partners.

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Susana Ochoa Rodríguez Research Assistant Urban Water Research Group (UWRG)

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  1. DIANE-CM PROJECT:DecentralisedIntegrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk Susana OchoaRodríguez Research Assistant Urban Water Research Group (UWRG) Imperial College London

  2. Partners • Leuphana University of Lüneburg(Germany) • Imperial College London (United Kingdom) • UNESCO-IHE Institute for Water Education, Delft (Netherlands)

  3. Main Objective • Enhancing flood risk awareness by collaborative modelling and social learning. • Developing and testing an advanced methodology for enhancing the resilience of the local communities to flooding.

  4. Methodological Approach • Collaborative modelling:participatory planning and social learning processes. • Vertical Interaction + Horizontal Interaction (Multidisciplinarity) Water and Environmental Scientists Educationalists Informatics Geographers Statistics Meteorologists Local Stakeholders Social Scientists Local Community Economists

  5. Tools to achieve interaction and collaborative modelling • Informatic tools • Implementation guidelines • Training to develop capacity of local professionals, community champions and community members. • E-learning platform

  6. Working Steps • Improvement of flood hazard and risk maps and near real time flood forecast by combination of technical innovation and visual representation understandable to general public. • Data acquisition and processing. • Modelling, calibration and testing – taking into account dual drainage modelling principle • Flood risk estimation • Near real time flood prediction • DSS framework – flood emergency management • Introduction of innovative methods of risk quantification and communication

  7. Working Steps • Increase of the participation of local communities through better risk communication and enhanced risk awareness by collaborative modelling and decision making. • Testing the approaches and tools in two selected case studies (in Germany and the UK) for improved feature of “good governance”

  8. River Alster in the City of Hamburg Redbridge – River Roding Case Studies or Test Sites River Roding (Redbridge/UK) River Alster (Hamburg/Germany)

  9. Working Steps • Evaluation of what the local institutions (communities) can learn from improved understanding of risk. • Identification of possible barriers and requirements for successful collaborative modelling for enhanced resilience. • Training, awareness raising and dissemination of the results. enhanced resilience of the local communities to flooding

  10. Thanks for your attention! Susana Ochoa Rodríguez Research assistant Department of Civil and Environmental Engineering Imperial College London s.ochoa-rodriguez@imperial.ac.uk

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