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A Complex Systems Perspective
on Urban Disasters
James M. Shultz, Andreas Rechkemmer, Neil F. Johnson
Presented at: 6th
International Disaster and Risk Conference (IDRC), Global Risk Forum, Davos, Switzerland, 31 August 2016
Enriching DRR: Integrating a Complex Systems Perspective
Complex Systems Integration
The IDRC/Global Risk Forum
provides an optimal platform
for stimulating the integration of
complex systems analysis and
disaster risk reduction (DRR).
Enriching DRR: Integrating a Complex Systems Perspective
Complex Systems Integration
Integration of complex systems thinking is accelerating
and is particularly notable in these areas:
disaster prediction,
exploration of “unexpected interdependent risks”,
analysis of complex webs of disaster emergence,
description of cascading consequences, and
elucidation of the concept of “general resilience” in the
context of DRR and disaster risk management (DRM).
Enriching DRR: Integrating a Complex Systems Perspective
Precepts of Complexity Science Applied to Disasters:
•Disasters create disasters.
•Disasters occur more often than by random chance.
•The disaster risk landscape is becoming increasingly complex.
Proliferation of Population Coupled with Concentration in Urban Settings
Proliferation of Population Coupled with Concentration in Urban Settings
Proliferation of Population: Global Distribution of Flood Zones
Proliferation of Population: Coastal Zones Impacted by Tropical Cyclones
Proliferation of Population: Tectonic Plate Boundaries: Earthquake Origination
United States Tornado Tracks
Proliferation of Population: Increasing Frequency/Severity of El Niño / ENSO
Enriching DRR: Integrating a Complex Systems Perspective
Complex Systems Integration:
U.S. BLIZZARD OF 2016
Enriching DRR: Integrating a Complex Systems Perspective
Precepts of Complexity Science Applied to Disasters:
•Disaster risks are globally networked.
•Disaster events cascade and compound.
•Disasters produce unanticipated “emergent” outcomes.
Blizzard of 2016
Ingredient Number 1: Record-setting El Niño 2015/2016
In December 2015 warmest El Niño waters migrate west toward International Dateline
Blizzard of 2016
Ingredient Number 2: Madden-Julian Oscillation (MJO) Wet and Dry Cycles
In late December 2015 enhanced phase (wet/stormy) MJO migrates east toward Dateline
Convective
Phase
Suppressed
Phase
Blizzard of 2016
Ingredient Number 3: MJO and El Niño (ENSO) Superposition
This sets off an explosion of thunderstorms and tropical systems
Blizzard of 2016
Happy Holidays 2015 – U.S.A.!
Meanwhile on the other side of the world, the U.S. East Coast is warm and dry
Blizzard of 2016
Happy New Year 2016 – American Samoa!
Ingredient Number 4: Thunderstorm systems form near equator and Dateline
Tropical Cyclone 06P forms and strengthens into Cyclone Ula
Blizzard of 2016
Ingredient Number 4: Thunderstorm systems also form Cyclone Ula
Blizzard of 2016
Ingredient Number 5: Thunderstorms destabilized the Jet Stream
Jet stream developed large ridges and troughs pushing warm air far north
Enriching DRR: Integrating a Complex Systems Perspective
Precepts of Complexity Science Applied to Disasters:
•Disaster sequences are typically “non-linear.”
•Disaster events often go from bad to worse and often rapidly.
•Disaster planning must focus on the “unknown unknowns.”
Blizzard of 2016
Mid-January: Low-pressure precipitation-generating systems enters Pacific Northwest
Ingredient Number 6: Low-pressure system come ashore in the Pacific Northwest
Blizzard of 2016
Mid-January: Low-pressures systems moves diagonally (NW to SE ) across US
Ingredient Number 6: Low-pressure drops south to Texas and moves eastward
Blizzard of 2016
Ingredient Number 7: North Atlantic and Arctic Oscillations Go Negative
Meteorological signal for cold air intrusions/possible big snow storms in NE United States
Blizzard of 2016
Low Pressure Moves Southeast
Blizzard of 2016
Low pressure moves southeast
Blizzard of 2016
Low pressure moves southeast
Blizzard of 2016
Low pressure moves east and turns north
Ingredient Number 8: All the components come together to create a “Nor’easter”
Blizzard of 2016
Blizzard of 2016
Blizzard conditions develop
Blizzard of 2016
Blizzard produces heavy snowfall and strong winds
Blizzard of 2016
Blizzard produces heavy snowfall and strong winds
Blizzard of 2016
Blizzard produces heavy snowfall and strong winds
Blizzard exits the U.S. and moves toward the U.K.
Blizzard of 2016
Blizzard of 2016
Blizzard of 2016
Ingredient Number 9: U.S. Northeast Urban “Megalopolis”
Blizzard of 2016
Ingredient Number 9: U.S. Northeast Urban “Megalopolis”
Blizzard of 2016
Ingredient Number 9: U.S. Northeast Urban “Megalopolis”
Blizzard of 2016
Ingredient Number 9: U.S. Northeast Urban “Megalopolis”
Blizzard of 2016
Ingredient Number 9: U.S. Northeast Urban “Megalopolis”
Blizzard of 2016
Ingredient Number 10: The Washington Post’s “Capital Weather Gang”
Blizzard of 2016
Enriching DRR: Integrating a Complex Systems Perspective
Precepts of Complexity Science Applied to Disasters:
•Disasters create disasters.
•Disasters occur more often than by random chance.
•The disaster risk landscape is becoming increasingly complex.
•Disaster risks are globally networked.
•Disaster events cascade and compound.
•Disasters produce unanticipated “emergent” outcomes.
•Disaster sequences are typically “non-linear.”
•Disaster events often go from bad to worse and often rapidly.
•Disaster planning must focus on the “unknown unknowns.”

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A Complex Systems Perspectives on Urban Disasters, James M. SCHULTZ

  • 1. A Complex Systems Perspective on Urban Disasters James M. Shultz, Andreas Rechkemmer, Neil F. Johnson Presented at: 6th International Disaster and Risk Conference (IDRC), Global Risk Forum, Davos, Switzerland, 31 August 2016
  • 2. Enriching DRR: Integrating a Complex Systems Perspective Complex Systems Integration The IDRC/Global Risk Forum provides an optimal platform for stimulating the integration of complex systems analysis and disaster risk reduction (DRR).
  • 3. Enriching DRR: Integrating a Complex Systems Perspective Complex Systems Integration Integration of complex systems thinking is accelerating and is particularly notable in these areas: disaster prediction, exploration of “unexpected interdependent risks”, analysis of complex webs of disaster emergence, description of cascading consequences, and elucidation of the concept of “general resilience” in the context of DRR and disaster risk management (DRM).
  • 4. Enriching DRR: Integrating a Complex Systems Perspective Precepts of Complexity Science Applied to Disasters: •Disasters create disasters. •Disasters occur more often than by random chance. •The disaster risk landscape is becoming increasingly complex.
  • 5. Proliferation of Population Coupled with Concentration in Urban Settings
  • 6. Proliferation of Population Coupled with Concentration in Urban Settings
  • 7. Proliferation of Population: Global Distribution of Flood Zones
  • 8. Proliferation of Population: Coastal Zones Impacted by Tropical Cyclones
  • 9. Proliferation of Population: Tectonic Plate Boundaries: Earthquake Origination
  • 11. Proliferation of Population: Increasing Frequency/Severity of El Niño / ENSO
  • 12. Enriching DRR: Integrating a Complex Systems Perspective Complex Systems Integration: U.S. BLIZZARD OF 2016
  • 13. Enriching DRR: Integrating a Complex Systems Perspective Precepts of Complexity Science Applied to Disasters: •Disaster risks are globally networked. •Disaster events cascade and compound. •Disasters produce unanticipated “emergent” outcomes.
  • 14. Blizzard of 2016 Ingredient Number 1: Record-setting El Niño 2015/2016 In December 2015 warmest El Niño waters migrate west toward International Dateline
  • 15. Blizzard of 2016 Ingredient Number 2: Madden-Julian Oscillation (MJO) Wet and Dry Cycles In late December 2015 enhanced phase (wet/stormy) MJO migrates east toward Dateline Convective Phase Suppressed Phase
  • 16. Blizzard of 2016 Ingredient Number 3: MJO and El Niño (ENSO) Superposition This sets off an explosion of thunderstorms and tropical systems
  • 17. Blizzard of 2016 Happy Holidays 2015 – U.S.A.! Meanwhile on the other side of the world, the U.S. East Coast is warm and dry
  • 18. Blizzard of 2016 Happy New Year 2016 – American Samoa! Ingredient Number 4: Thunderstorm systems form near equator and Dateline Tropical Cyclone 06P forms and strengthens into Cyclone Ula
  • 19. Blizzard of 2016 Ingredient Number 4: Thunderstorm systems also form Cyclone Ula
  • 20. Blizzard of 2016 Ingredient Number 5: Thunderstorms destabilized the Jet Stream Jet stream developed large ridges and troughs pushing warm air far north
  • 21. Enriching DRR: Integrating a Complex Systems Perspective Precepts of Complexity Science Applied to Disasters: •Disaster sequences are typically “non-linear.” •Disaster events often go from bad to worse and often rapidly. •Disaster planning must focus on the “unknown unknowns.”
  • 22. Blizzard of 2016 Mid-January: Low-pressure precipitation-generating systems enters Pacific Northwest Ingredient Number 6: Low-pressure system come ashore in the Pacific Northwest
  • 23. Blizzard of 2016 Mid-January: Low-pressures systems moves diagonally (NW to SE ) across US Ingredient Number 6: Low-pressure drops south to Texas and moves eastward
  • 24. Blizzard of 2016 Ingredient Number 7: North Atlantic and Arctic Oscillations Go Negative Meteorological signal for cold air intrusions/possible big snow storms in NE United States
  • 25. Blizzard of 2016 Low Pressure Moves Southeast
  • 26. Blizzard of 2016 Low pressure moves southeast
  • 27. Blizzard of 2016 Low pressure moves southeast
  • 28. Blizzard of 2016 Low pressure moves east and turns north
  • 29. Ingredient Number 8: All the components come together to create a “Nor’easter” Blizzard of 2016
  • 30. Blizzard of 2016 Blizzard conditions develop
  • 31. Blizzard of 2016 Blizzard produces heavy snowfall and strong winds
  • 32. Blizzard of 2016 Blizzard produces heavy snowfall and strong winds
  • 33. Blizzard of 2016 Blizzard produces heavy snowfall and strong winds
  • 34. Blizzard exits the U.S. and moves toward the U.K. Blizzard of 2016
  • 37. Ingredient Number 9: U.S. Northeast Urban “Megalopolis” Blizzard of 2016
  • 38. Ingredient Number 9: U.S. Northeast Urban “Megalopolis” Blizzard of 2016
  • 39. Ingredient Number 9: U.S. Northeast Urban “Megalopolis” Blizzard of 2016
  • 40. Ingredient Number 9: U.S. Northeast Urban “Megalopolis” Blizzard of 2016
  • 41. Ingredient Number 9: U.S. Northeast Urban “Megalopolis” Blizzard of 2016
  • 42. Ingredient Number 10: The Washington Post’s “Capital Weather Gang” Blizzard of 2016
  • 43. Enriching DRR: Integrating a Complex Systems Perspective Precepts of Complexity Science Applied to Disasters: •Disasters create disasters. •Disasters occur more often than by random chance. •The disaster risk landscape is becoming increasingly complex. •Disaster risks are globally networked. •Disaster events cascade and compound. •Disasters produce unanticipated “emergent” outcomes. •Disaster sequences are typically “non-linear.” •Disaster events often go from bad to worse and often rapidly. •Disaster planning must focus on the “unknown unknowns.”