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Scawthorn

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Slides by Charles Scawthorn

Slides by Charles Scawthorn

Published in: Economy & Finance, Technology
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  • 1. Emerging Trends, Best Practices and Lessons Learned in ICT-Enabled Disaster Risk Management Session 1 Discussant Charles Scawthorn, S.E. Professor (ret.), Kyoto University, Japan Disaster Risk Management in the Information Age October 8-9, 2008
  • 2. Loss Estimation – foundation for all mitigation
    • Existing NH Loss Estimation Software:
      • may well have good technical foundations, but
      • are not open source
      • users can’t ‘get under the hood’, don’t trust results
      • inflexible – can’t quickly adapt to new needs, data
      • slow uptake  are not being used  not doing the job
    EXTREMUM
  • 3. Open Source software movement
    • Natural hazards mitigation
      • Earthquake
      • Wind
      • Flood…
    • Cost justification  loss estimation
  • 4. Open Risk-related Software Risk Engine E  p(D  H) p(H  E ) HAZARD p(H  E ) VULNERABILITY p(D  H)
  • 5. OpenRisk www.risk-agora.org
  • 6. Data-related seismic risk management tasks
    • Pre-disaster
      • Inventory of buildings at risk
      • Screen for potential seismic risk
      • Prioritize risk-mitigation efforts
      • Emergency planning
    • Response
      • Prioritize inspections
      • Safety inspection, rough cost est.
    • Recovery
      • Manage repairs—permitting, etc.
    ROVER ShakeCast HAZUS ATC-20i
  • 7. Windows Mobile smartphones
    • OS similar to Windows XP
    • Phone, camera, PIM, browser, other Windows apps
    • Keyboard, stylus, touchscreen, bluetooth
    • Cost ~$500; ~$200 with phone plan
    • 4+ GB storage
  • 8. ROVER ROVER (Rapid Observation of Vulnerability and Estimation of Risk)
  • 9.
    • Photo tab
    • Use built-in smartphone camera 2 MPix+
    • Server adds a watermark
  • 10.
    • Soil tab
    • A-F scale, like IBC
    • Soft soil tends to amplify motion
    • Server can add soil from built-in global USGS map
  • 11.
    • Scoring tab
    • Choose possible building type
    • Click on relevant features
    • “ Risk score” calculated below
    • S ≥ 2 is good
    • S < 2 implies need for detailed evaluation
  • 12. Real Time
  • 13. usgs
  • 14. Thank You [email_address]

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