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Open Risk Analysis Software Data and Methodologies ,[object Object],[object Object],[object Object],[object Object],[object Object]
Presentation Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction
Introduction
Open Risk Analysis Motivation Currently, researchers and practitioners in the  Disaster Risk Management  field lack  transparent methodologies , tools (e.g.  Software ) and  open data . A lot of research is being contacted in academic as well as non-profit and for-profit organizations, resulting in the creation of software and methodologies.  A  replication of effort  exists, though, due to the lack of  open and unified standards and a  common platform  to co-ordinate the efforts. In addition to that, open and easily accessible data are hard to found thus causing a  slow down  in the research progress.
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Open Risk Analysis Motivation
The F/OSS* Paradigm * F/OSS: Free/Open Source Software
AGORA* Promote and coordinate  open risk analysis  of natural and technological hazards. Development of open-source risk software and methodologies to perform  end-to-end * risk modeling. *  End-to-end  refers to the modeling of hazardous events and their impacts, from the event occurrence through site effects, physical damage to the built environment, to economic and human impacts. Kyoto University   (Japan) California Institute of Technology (USA)  Cambridge University (UK) Imperial College (UK) University of California, Berkeley (USA) University of Pavia (Italy) Virginia Tech (USA) Kandili Observatory of Bogazici University (Turkey) Extreme Situations Research Center (Russia) US Geological Survey MAE - Mid-America Earthquake Center NEES - Network for Earthquake Engineering Simulation Russian Academy of Sciences Southern California Earthquake Center Lloyd’s of London Flagstone Re SPA Risk LLC * www.risk-agora.org
AGORA ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
AGORA
Open Risk Analysis Example
MIRISK - Project Organization CLIENT STEERING COMMITEE METHODS PROGRAMMING GROUP FUNDING EXTERNAL REVIEWING
MIRISK - Purpose Provide a user friendly tool to aid decision makers in considering Natural Hazards in funded projects Increase awareness and provide guidance for Natural Hazards risk analysis and mitigation
MIRISK - Goals Provide information for Natural Hazards  design guidelines ,  norms  and  good practices  – a  reference tool  for use by decision makers. Enable  assessment  of infrastructure  risk and  vulnerability  of damage and  losses in past disasters Be a  user-friendly tool  for risk assessment of critical infrastructure Be developed within a non-proprietary ( open source ) software package subscribing to the AGORA framework
MIRISK – Potential Uses Determine what  hazards  might potentially impact a region What  impacts  might these hazards have on a specific project Quantitatively assess  direct impacts Quantitatively assess  indirect impacts  Determine what sorts of structural, locational, operational and  risk transfer alternatives  are available to reduce the direct and indirect impacts Determine which of the available alternatives are  most  cost-beneficial What are the  design parameters  and  best practices  to actualize these alternatives within the overall project
MIRISK – System Structure
MIRISK – Database Contents Hazard data Global HotSpots Project GSHAP Project GIS data NASA earth observatory GSHAP Project UNEP/GRID-Geneva Preview NGDC Dartmouth Flood Observatory Atlas of Large Flood Events Global Volcanism Program
MIRISK – Global HotSpots* 2005 assessment of natural disaster risk innovative, high impact first such global analysis employed ‘off-the-shelf’ data “ 1st order” analysis – “crude” (authors’ term) data freely available Global distribution of flood mortality risk * Dilley, M., Chen, R. S., Deichmann, U., Lerner-Lam, A. L., and Arnold, M. (2005) "Natural Disaster Hotspots: A Global Risk Analysis.”, The World Bank, Washington ,D.C.
MIRISK – Loss Estimation Objective To provide a  quantitative  estimate of incremental cost given  project design level ,  cost of repair ,  duration of disruption , and  benefit cost . Loss Metric Expected Annualized Loss ( EAL ), i.e. the average loss per year due to the occurrence of a natural hazard. Assumptions
MIRISK – Cost Benefit Analysis Objective Determine most cost-effective project design level considering natural  hazard impacts. Procedure
MIRISK – Example Case Study
MIRISK – Example Case Study Tabbed structure for easy access
MIRISK – Example Case Study
MIRISK – Example Case Study
MIRISK – Example Case Study
MIRISK – Example Case Study
MIRISK – Example Case Study
MIRISK – Example Case Study
MIRISK - Future
AGORA - Future
Summary and Discussion

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Open Risk Analysis Software - Data And Methodologies

  • 1.
  • 2.
  • 5. Open Risk Analysis Motivation Currently, researchers and practitioners in the Disaster Risk Management field lack transparent methodologies , tools (e.g. Software ) and open data . A lot of research is being contacted in academic as well as non-profit and for-profit organizations, resulting in the creation of software and methodologies. A replication of effort exists, though, due to the lack of open and unified standards and a common platform to co-ordinate the efforts. In addition to that, open and easily accessible data are hard to found thus causing a slow down in the research progress.
  • 6.
  • 7. The F/OSS* Paradigm * F/OSS: Free/Open Source Software
  • 8. AGORA* Promote and coordinate open risk analysis of natural and technological hazards. Development of open-source risk software and methodologies to perform end-to-end * risk modeling. * End-to-end refers to the modeling of hazardous events and their impacts, from the event occurrence through site effects, physical damage to the built environment, to economic and human impacts. Kyoto University (Japan) California Institute of Technology (USA) Cambridge University (UK) Imperial College (UK) University of California, Berkeley (USA) University of Pavia (Italy) Virginia Tech (USA) Kandili Observatory of Bogazici University (Turkey) Extreme Situations Research Center (Russia) US Geological Survey MAE - Mid-America Earthquake Center NEES - Network for Earthquake Engineering Simulation Russian Academy of Sciences Southern California Earthquake Center Lloyd’s of London Flagstone Re SPA Risk LLC * www.risk-agora.org
  • 9.
  • 10. AGORA
  • 12. MIRISK - Project Organization CLIENT STEERING COMMITEE METHODS PROGRAMMING GROUP FUNDING EXTERNAL REVIEWING
  • 13. MIRISK - Purpose Provide a user friendly tool to aid decision makers in considering Natural Hazards in funded projects Increase awareness and provide guidance for Natural Hazards risk analysis and mitigation
  • 14. MIRISK - Goals Provide information for Natural Hazards design guidelines , norms and good practices – a reference tool for use by decision makers. Enable assessment of infrastructure risk and vulnerability of damage and losses in past disasters Be a user-friendly tool for risk assessment of critical infrastructure Be developed within a non-proprietary ( open source ) software package subscribing to the AGORA framework
  • 15. MIRISK – Potential Uses Determine what hazards might potentially impact a region What impacts might these hazards have on a specific project Quantitatively assess direct impacts Quantitatively assess indirect impacts Determine what sorts of structural, locational, operational and risk transfer alternatives are available to reduce the direct and indirect impacts Determine which of the available alternatives are most cost-beneficial What are the design parameters and best practices to actualize these alternatives within the overall project
  • 16. MIRISK – System Structure
  • 17. MIRISK – Database Contents Hazard data Global HotSpots Project GSHAP Project GIS data NASA earth observatory GSHAP Project UNEP/GRID-Geneva Preview NGDC Dartmouth Flood Observatory Atlas of Large Flood Events Global Volcanism Program
  • 18. MIRISK – Global HotSpots* 2005 assessment of natural disaster risk innovative, high impact first such global analysis employed ‘off-the-shelf’ data “ 1st order” analysis – “crude” (authors’ term) data freely available Global distribution of flood mortality risk * Dilley, M., Chen, R. S., Deichmann, U., Lerner-Lam, A. L., and Arnold, M. (2005) "Natural Disaster Hotspots: A Global Risk Analysis.”, The World Bank, Washington ,D.C.
  • 19. MIRISK – Loss Estimation Objective To provide a quantitative estimate of incremental cost given project design level , cost of repair , duration of disruption , and benefit cost . Loss Metric Expected Annualized Loss ( EAL ), i.e. the average loss per year due to the occurrence of a natural hazard. Assumptions
  • 20. MIRISK – Cost Benefit Analysis Objective Determine most cost-effective project design level considering natural hazard impacts. Procedure
  • 21. MIRISK – Example Case Study
  • 22. MIRISK – Example Case Study Tabbed structure for easy access
  • 23. MIRISK – Example Case Study
  • 24. MIRISK – Example Case Study
  • 25. MIRISK – Example Case Study
  • 26. MIRISK – Example Case Study
  • 27. MIRISK – Example Case Study
  • 28. MIRISK – Example Case Study