Reginald Desroches - Building Disaster Reslience
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The document discusses scientific approaches to quantifying and measuring resilience. It identifies gaps in resiliency research, including the need for enhanced infrastructure inventory data, improved vulnerability models, and models of infrastructure interdependencies. The document also notes opportunities such as leveraging citizens as sensors and making the case for resilience through cost-benefit analysis. Addressing these gaps would help develop a more comprehensive understanding of resilience.
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Reginald Desroches - Building Disaster Reslience
- 1. Scientific Approaches to Resiliency Reginald DesRoches Karen and John Huff Professor and Chair School of Civil & Environmental Engineering Georgia Institute of Technology Davos, Switzerland, August 30, 2013
- 2. Quantifying Resilience Can it be measured?? Robustness Redundancy Resourcefulness Rapidity The four R’s of Resilience Haiti Earthquake, 2010
- 3. Scientific/Engineering Gaps & Opportunities in Resiliency Research • Enhanced Inventory Data • Improved Vulnerability Models • Infrastructure Interdependency Models • Damage-Functionality Models • Enhanced Remote Sensing Data • Improved Data Management Systems • Ubiquitous Sensing • Leveraging Citizens as Sensors • Making the case for Resilience: Cost/Benefit
- 4. Scientific/Engineering Gaps in Resiliency Research • Enhanced Inventory Data • Improved Vulnerability Models • Infrastructure Interdependency Models • Damage-Functionality Models • Enhanced Remote Sensing Data • Improved Data Management Systems • Ubiquitous Sensing • Leveraging Citizens as Sensors • Making the case for Resilience: Cost/Benefit • Physical attributes • Operational attributes • Connectivity information • How to make it useful to broad “diverse” groups: • Challenges related to privacy
- 5. Scientific/Engineering Gaps in Resiliency Research • Enhanced Inventory Data • Improved Vulnerability Models • Infrastructure Interdependency Models • Damage-Functionality Models • Enhanced Remote Sensing Data • Improved Data Management Systems • Ubiquitous Sensing • Leveraging Citizens as Sensors • Making the case for Resilience: Cost/Benefit • Component-level, system-level and operational performance • Enhancements – Aging and deterioration – Climate change – Interdependencies – Demographic changes
- 6. Scientific/Engineering Gaps in Resiliency Research • Enhanced Inventory Data • Improved Vulnerability Models • Infrastructure Interdependency Models • Damage-Functionality Models • Enhanced Remote Sensing Data • Improved Data Management Systems • Ubiquitous Sensing • Leveraging Citizens as Sensors • Making the case for Resilience: Cost/Benefit
- 7. Water System Land use/ Transportation Urban Landscape a System of Systems: Air Quality Energy System: Electrical, Gas Heat Island Solid waste Built Environment 7
- 8. Scientific/Engineering Gaps in Resiliency Research • Enhanced Inventory Data • Improved Vulnerability Models • Infrastructure Interdependency Models • Damage-Functionality Models • Enhanced Remote Sensing Data • Improved Data Management Systems • Ubiquitous Sensing • Leveraging Citizens as Sensors • Making the case for Resilience: Cost/Benefit Pre-earthquake photo Post-earthquake photo
- 9. Scientific/Engineering Gaps in Resiliency Research • Enhanced Inventory Data • Improved Vulnerability Models • Infrastructure Interdependency Models • Damage-Functionality Models • Enhanced Remote Sensing Data • Improved Data Management Systems • Ubiquitous Sensing • Leveraging Citizens as Sensors • Making the case for Resilience: Cost/Benefit Many Non-Technical Factors!
- 10. Scientific/Engineering Gaps in Resiliency Research • Enhanced Inventory Data • Improved Vulnerability Models • Infrastructure Interdependency Models • Damage-Functionality Models • Enhanced Remote Sensing Data • Improved Data Management Systems • Ubiquitous Sensing • Leveraging Citizens as Sensors • Making the case for Resilience: Cost/Benefit • Pre and Post-Disaster Information Acquisition and Management – Hazard data – Geological responses – Structural damage – Economic and Social Impacts – Human Decisions – Environmental Impacts – Restoration process – Infrastructure Interdependencies
- 11. Scientific/Engineering Gaps in Resiliency Research • Enhanced Inventory Data • Improved Vulnerability Models • Infrastructure Interdependency Models • Damage-Functionality Models • Enhanced Remote Sensing Data • Improved Data Management Systems • Ubiquitous Sensing • Leveraging Citizens as Sensors • Making the case for Resilience: Cost/Benefit
- 12. Scientific/Engineering Gaps in Resiliency Research • Enhanced Inventory Data • Improved Vulnerability Models • Infrastructure Interdependency Models • Damage-Functionality Models • Enhanced Remote Sensing Data • Improved Data Management Systems • Ubiquitous Sensing • Leveraging Citizens as Sensors • Making the case for Resilience: Cost/Benefit
Editor's Notes
- Haiti is one of the countries with highest risk in the world 96% of the population is exposed to 1 or more hazards Two active seismic fault lines Highest index of vulnerability to cyclones of the island states in the region One the three most vulnerable countries to climate change impactsExtreme vulnerability High environmental degradation, housing and infrastructure in flood prone areas High level of poverty, limited public infrastructure, governance challenges and chronic financial deficit
- Look at combinations, Past optimized them separately. Cacading failures power and water etc.