DIANE-CM PROJECT: Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk Susana Ochoa.

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Presentation transcript:

DIANE-CM PROJECT: Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk Susana Ochoa Rodríguez Research Assistant Urban Water Research Group (UWRG) Imperial College London

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

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.

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

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

Working Steps 1.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 2.Introduction of innovative methods of risk quantification and communication

Working Steps 3.Increase of the participation of local communities through better risk communication and enhanced risk awareness by collaborative modelling and decision making. 4.Testing the approaches and tools in two selected case studies (in Germany and the UK) for improved feature of “good governance”

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

Working Steps 5.Evaluation of what the local institutions (communities) can learn from improved understanding of risk. 6.Identification of possible barriers and requirements for successful collaborative modelling for enhanced resilience. 7.Training, awareness raising and dissemination of the results. ENHANCED RESILIENCE OF THE LOCAL COMMUNITIES TO FLOODING

Thanks for your attention! S USANA O CHOA R ODRÍGUEZ R ESEARCH ASSISTANT D EPARTMENT OF C IVIL AND E NVIRONMENTAL E NGINEERING I MPERIAL C OLLEGE L ONDON