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From Hazard to Impact: The CORFU flood damage assessment tool - Albert S. Chen (University of Exeter)
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From Hazard to Impact: The CORFU flood damage assessment tool - Albert S. Chen (University of Exeter)

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From Hazard to Impact: The CORFU flood damage assessment tool - Albert S. Chen (University of Exeter).

From Hazard to Impact: The CORFU flood damage assessment tool - Albert S. Chen (University of Exeter).

Presented at the 2014 MIKE by DHI UK Symposium on 13th to 14th May 2014.

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From Hazard to Impact: The CORFU flood damage assessment tool - Albert S. Chen (University of Exeter) From Hazard to Impact: The CORFU flood damage assessment tool - Albert S. Chen (University of Exeter) Presentation Transcript

  • Albert S. Chen FROM HAZARD TO IMPACT The CORFU flood damage assessment tool 2014 MIKE by DHI UK Symposium
  • Outline • The CORFU Project • Flood damage assessment tool • Demo • Conclusions
  • 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 View slide
  • CORFU Team View slide
  • Introduction Drivers and pressures Flood hazard assessment Vulnerability / impact assessment Responses and resilience strategies
  • 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
  • Introduction Barcelona Beijing Dhaka Hamburg Mumbai Nice Taipei
  • Flood damage assessment Damage Depth Depth-Damage Curves (DDC) Land uses
  • 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
  • Health-impact assessment Health Impact Contamination Contamination- Health Impact Curves Demographic data Mortality Depth Depth-Mortality Curves (DDC) Demographic data
  • 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
  • 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 ±
  • User interfaces
  • 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)
  • Depth-damage curves (DDC) The Benefits of Flood and Coastal Risk Management: A Handbook of Assessment Techniques-2010 (Multi-Coloured Manual), Middlesex University, UK
  • Output • Damage/EAD for individual buildings • Same output format for various input data types
  • Demo
  • Dhaka City
  • Dhaka
  • Dhaka
  • 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
  • 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.
  • Thank you and questions? Further information: http://corfu7.eu Contact: a.s.chen@ex.ac.uk