Transcript NDMA and Other Nitrosamines in England and Scotland

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.
Methodological Approach
•
•
Collaborative modelling: participatory planning and social learning
processes.
Vertical Interaction
Governmental and
Regional Institutions
+
Horizontal Interaction
(Multidisciplinarity)
Water and
Environmental
Scientists
Educationalists
Informatics
Local Professional
Bodies (Councils)
Local Comunities
(Receptors)
Geographers
Meteorologists
Statistics
Social Scientists
Local
Stakeholders
Economists
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 Roding (Redbridge/UK)
River Alster (Hamburg/Germany)
Redbridge –
River Roding
River Alster in the
City of Hamburg
Rainfall radar
River Roding
Field data communication unit
Level gauges
Rain gauges
Cran Brook and Seven Kings catchments
Flow gauges
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
successful collaborative modelling for enhanced resilience.
7. Training, awareness raising and dissemination of the results.
ENHANCED RESILIENCE OF THE LOCAL
COMMUNITIES TO FLOODING
for
Thanks for your attention!
SUSANA OCHOA RODRÍGUEZ
RESEARCH ASSISTANT
DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
IMPERIAL COLLEGE LONDON
[email protected]