DIANE-CM PROJECT:Decentralised Integrated Analysis and Enhancement of Awareness through
Collaborative Modelling and Management of Flood Risk
Susana Ochoa RodríguezResearch AssistantUrban Water Research Group (UWRG)Imperial College London
Partners
•Leuphana University of Lüneburg(Germany)
•Imperial College London (United Kingdom)
•UNESCO-IHE Institute for WaterEducation, 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
Governmental and Regional Institutions
Local Professional Bodies (Councils)
Local Comunities (Receptors)
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 Steps1. 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)
Flow gauges
Rain gauges
Fiel
d da
ta c
omm
unic
atio
n un
it
River Roding
Leve
l gau
ges
Rainfall radar
Cran Brook and Seven Kings catchments
Cran Brook and Seven Kings catchments
Flow gauges
Rain gauges
Fiel
d da
ta c
omm
unic
atio
n un
it
River Roding
Leve
l gau
ges
Rainfall radar
Cran Brook and Seven Kings catchments
Cran Brook and Seven Kings catchments
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!
SUSANA OCHOA RODRÍGUEZRESEARCH ASSISTANT
DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERINGIMPERIAL COLLEGE LONDON
