This document summarizes the CORFU project, which aims to assess flood impacts and develop flood resilience measures for European and Asian cities. It describes the flood damage assessment tool developed as part of CORFU to efficiently evaluate flood damage and expected annual damage. The tool uses standard GIS data formats and can integrate with hydraulic modelling software. It calculates damage to individual buildings based on flood depth data, land use types, and depth-damage curves. The document demonstrates the tool's use for a case study in Dhaka and concludes the tool can evaluate flood damage under different scenarios to help create more flood resilient cities.

1. Albert S. Chen
FROM HAZARD TO IMPACT
The CORFU flood damage assessment tool
2014 MIKE by DHI UK Symposium

2. Outline
• The CORFU Project
• Flood damage assessment tool
• Demo
• Conclusions

3. The CORFU project
• Collaborative Research on Flood Resilience in Urban
Areas
• Funded by European Commission FP7
• Overall aims:
– Assess flood impacts for different futures or scenarios
– Develop and evaluate state-of-the-art flood resilience
measures and strategies
– Facilitate mutual learning between European & Asian
cities through joint investigation to help create flood
resilient cities

4. CORFU Team

5. Introduction
Drivers and pressures
Flood hazard assessment
Vulnerability / impact
assessment
Responses and resilience
strategies

6. Introduction
Tangible Intangible
Direct
Physical damage to assets
• Buildings
• Contents
• Infrastructure
Loss of life
Injuries
Diseases
Loss of ecological goods
Indirect
Loss of industrial
production
Traffic disruption
Emergency costs
Inconvenience of post-
flood recovery
Increased vulnerability of
survivors

7. Introduction
Barcelona
Beijing
Dhaka
Hamburg
Mumbai
Nice
Taipei

8. Flood damage assessment
Damage
Depth
Depth-Damage
Curves (DDC)
Land uses

9. Hazard-vulnerability function
Damage Hazard information Vulnerability
Building content/
construction damage
Flood depth
(and duration)
Financial loss
Building construction
damage
Flood velocity
(and duration)
Building resistance
Pedestrian safety Flood depth Human physical resistance
Pedestrian safety Flood velocity Human physical resistance
Driving safety Flood depth Vehicle resistance
Driving safety Flood velocity Vehicle resistance
Human body health Contamination concentration
(and duration)
Human body resistance

10. Health-impact assessment
Health Impact
Contamination
Contamination-
Health Impact
Curves
Demographic
data
Mortality
Depth
Depth-Mortality
Curves (DDC)
Demographic
data

11. Model development
• Standard GIS data format adopted
• Integrated with DHI MIKE software
• Python scripts and Geoprocessing functions within ESRI
ArcGIS software
• Minimum manual input to calculate the flood damage
• Transportable to other GIS software packages/platforms
• Separate executable programs for additional functions

12. Resolution issue
Legend
Buildings
Others
Commercial Activity
Education & Research
Governmental Services
Mixed Use
Manufacturing and Processing Activity
Residential
0 2010
m
±
Legend
Others
Commercial Activity
Education & Research
Governmental Services
Mixed Use
Manufacturing and Processing Activity
Residential
0 2010
m
±
Legend
Buildings
Others
Commercial Activity
Education & Research
Governmental Services
Mixed Use
Manufacturing and Processing Activity
Residential
0 2010
m
±

13. User interfaces

14. Input
• Buildings
– Unique index for each
building
– Major land use type/
Combination of land use
• Flood depth
– Raster grid (MIKE Urban)
– Depth inside building
(Irregular polygons for
Barcelona case)

15. Depth-damage curves (DDC)
The Benefits of Flood and Coastal Risk Management: A Handbook of Assessment
Techniques-2010 (Multi-Coloured Manual), Middlesex University, UK

16. Output
• Damage/EAD for individual
buildings
• Same output format for
various input data types

17. Demo

18. Dhaka City

19. Dhaka

20. Dhaka

21. Conclusions
• GIS-based tool for flood damage assessment
• Capable utilising hydraulic modelling results
directly
• Evaluate the flood damage & EAD efficiently
• Possible further applications
– future flood damage using urban growth model data
– different hazard-vulnerability analyses and other
future scenarios

22. Acknowledgements
• Research on the CORFU (Collaborative research on flood
resilience in urban areas) project was funded by the
European Commission through Framework Programme 7,
Grant Number 244047.
• The authors appreciate the Institute of Water Modelling
(IWM) for the provision of case study data and William
Veerbeek for the UGM modelling results.

23. Thank you and questions?
Further information: http://corfu7.eu
Contact: a.s.chen@ex.ac.uk