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The Canterbury Earthquake Sequence:
                 major geologic and social impacts
       Kelvin Berryman – Director, Natural Hazards Research Platform




22 Feb, 2011




                                                    Natural Hazards Research Science
                                                                        GNS Platform
Ruaumoko, the Maori god of earthquakes & volcanoes, has
                surprised us in Canterbury
This talk:
•Geologic context and characteristics of the earthquake sequence and
impacts
•Affects of the prolonged sequence
•Impacts on the city, the people, and the regional economy
•Soil liquefaction and rockfall
•Land zoning, insurance and communities




                                                   Natural Hazards Research Platform
                                                                         GNS Science
Barnes et al, 2011
Regional                                    Hikurangi
Fault                                       Subduction
                                            margin
Patterns

      Wellington




                                                       Christchurch
                             Alpine
                             Fault



       Jongens et al, 2012
                                      Natural Hazards Research Platform
                                                            GNS Science
Evolution of the earthquake sequence




                                  Natural Hazards Research Platform
                                                        GNS Science
Natural Hazards Research Platform
                      GNS Science
Highfield Road,
Sept 4th 2010




                                   Quigley et al, UoC & GNS




  4.5 m dextral & < 1 m vertical
                                      Natural Hazards Research Platform
                                                            GNS Science
Strike-slip component of surface slip on the 30 km long Greendale Fault. Very
good fit with rupture models from seismology and geodesy
                                                      Natural Hazards Research Platform
                                                                            GNS Science
Natural Hazards Research Platform
                      GNS Science
Natural Hazards Research Platform
                      GNS Science
Natural Hazards Research Platform
                      GNS Science
Natural Hazards Research Platform
                      GNS Science
Natural Hazards Research Platform
                      GNS Science
Boxing Day and
                                                                 subsequent




Chances of a M6+ in 1 year =   This number was widely communicated but
25% in the aftershock region   what did it mean – no scenario models in
                               terms of impact were developed

                                                       Natural Hazards Research Platform
                                                                          GNS Science
Natural Hazards Research Platform
                      GNS Science
February and June fault slip inversions from GPS data
 – can also be compared with seismology and InSar




                             Interpretation by Beaven et al., GNS
                                         Natural Hazards Research Platform
                                                               GNS Science
Comparison of four CBD records
  against code requirements

          22 Feb 2011




                          Natural Hazards Research Platform
                                                GNS Science
Natural Hazards Research Platform
                      GNS Science
Magnitude vs Time ( up to February 2013 )
Magnitude




                                        generally felt



                                         often not felt


                                     incomplete detection




    • More than 2 years of aftershocks have had major psycho-social impacts
                                                         Natural Hazards Research Platform
                                                                               GNS Science
The Impacts - Ground Motion (code level ~ 0.3g)
 4 Sept 2010              26 Dec 2010




 22 Feb 2011              13 June 2011




                                         Natural Hazards Research Platform
                                                               GNS Science
A couple of perspectives ………………….
1.The Sept 2010 Darfield earthquake was near design level in the city
•Damage wasn’t too bad except for unreinforced masonry (as expected)
•Services were restored reasonably quickly (24 hrs for electricity, a few
days in most places for water & waste water, liquefaction and lateral
spread damage in a few places (future red zone)
•But was there significant hidden damage to structures (CTV, for example)?

2. The Feb 2011 event was near to a 2500 yr return period event for the city
•Damage was largely as would be expected
•Most engineered structures performed quite well
•Infrastructure was badly damaged, especially in future red zones & TC 2 &3
•The people and the city did very well, considering, but there is now an
expectation in some quarters to have little or no damage in extreme events
•Was performance good enough for an extreme event? What are acceptable
levels of safety and economic resilience – red zoning implies unacceptable,
what about repairability and functionality in extreme events
                                                       Natural Hazards Research Platform
                                                                             GNS Science
Features of the earthquake sequence in the NZ context
A large (for NZ) natural hazard event in a small economy
•10% of NZ’s 4.5 million people directly impacted
•Total loss estimates c. $35b NZD – about 8-10% GDP
•NZ’s economy about the same size as Munich-Re or IBM annual revenue

   Events such as this have the possibility of irreparably damaging the economy
   of small or developing nations

Regional economy is strong (based on agriculture)
•Port, airport, road and rail networks had very little downtime
•95% of businesses are still operating albeit with downturn in tourism, education,
   and hospitality
•Some migration away from Canterbury especially initially, now about 9,000
   persons, but 30,000 new workers needed for rebuild – communities remained
   largely intact
•Early government support for local business continuity and workforce

  A city cannot operate in isolation from its hinterland. Supply chains and
  infrastructure are critical. There was no need for widespread evacuation in
  Christchurch and this is a key tipping-point in regional economic resilience

                                                        Natural Hazards Research Platform
                                                                              GNS Science
Insurance Perspectives - Recent major earthquake events
  USD billion (at 2011 prices)

Event Date    Country Economic       Economic losses Insured             Insurance
                      Losses         as %GDP         Losses               Industry
                                                                      Contribution
11 March 11    Japan     up to 300   up to 5.4%          35             up to 17%
27 Feb 11      Chile       30         18.6%              8                    27%
22 Feb 11      NZ          15         10%                12                   80%
12 Jan 10      Haiti         8        121%               0.1                   1%
04 Sept 10      NZ          6          5.3%               5                    81%
06 April 09    Italy        4         0.2%               0.5                   14%
23 Oct 11      Turkey      0.75        0.1%                        0.03
  4%
04 April 10    Mexico       0.95      0.09%              0.2                      21%

Source: Swiss Re sigma catastrophe database
 NZ presents the highest ratio of insured to economic losses. Residential earthquake
 insurance virtually mandatory through the EQ Commission, so insurance plays a
 much greater role in reconstruction efforts than in other examples

                                                           Natural Hazards Research Platform
                                                                                 GNS Science
Legend

    Repairs > $100k (houses which    Residential Building Damage Map
    had significant damage but
    could be economically repaired

    Rebuilds (houses which are
    beyond economic repair)

    Confirmed rebuilds (houses
    which were confirmed to be
    beyond economic repair)




 Building damage after the 4 September 2010 event
                                                            Natural Hazards Research Platform
                                                                                  GNS Science
Residential Building Damage Map
Building Damage Ratio
(Repair cost estimate / replacement
cost)
     0% (no building damage)
     0% - 20%
     20% - 40%
     40% - 60%
     60% - 80%
     80% - 100%
     100% (rebuild because it is
     uneconomic to repair the
     building)




Building damage after the 22 February 2011 event
                                                             Natural Hazards Research Platform
                                                                                   GNS Science
Sept 4, 2010




               Natural Hazards Research Platform
                                     GNS Science
Feb 22, 2011




               Natural Hazards Research Platform
                                     GNS Science
Rockfall Hazard




                  Natural Hazards Research Platform
                                        GNS Science
Liquefaction




 Natural Hazards Research Platform
                       GNS Science
6.5 Ka                 New Zealand Historical Atlas 1997
                              7 Ka
                                 5 Ka
                                        8 Ka 3 Ka
                                                    2 Ka
                                                           1 Ka




Why is liquefaction such an
issue in eastern Christchurch?

                                                    Natural Hazards Research Platform
                                                                          GNS Science
Time-Varying Earthquake Hazard Forecast
    •   Used to inform update of building
        codes
    •   Accounts for different earthquake
        clustering scales
    •   Combines four different models
    •   Used to estimate probabilities of
        ground shaking

    •   Short-term clustering model –
        STEP - Days to Year(s)
    •   Medium-term clustering model
        – EEPAS - Years to decades
    •   Long-term average model –
        PPE - Average earthquake rate
        since 1960
    •   NSHM fault model - Longest-
        term mostly time-independent
                                            Yearly number of earthquakes greater than M 5 from
                                            four models
Gerstenberger, Rhoades, et al, GNS
                                                               Natural Hazards Research Platform
                                                                                     GNS Science
Refined Forecast for Canterbury region (whole of Canterbury Plains)
                      starting April 15th, 2012
          1 Month           1 Year                      5 years      20 years 50 years
            Prob             Prob                       Prob         Prob          Prob
5.0-5.4      15%              76%           5.0-5.4     99%          100%          100%

5.5-5.9      5%               34%           5.5-5.9     75%          97%           100%
                                 <3%      6.0-6.4       34%          64%           83%
6.0-6.4      1%               11%
                                 for city
6.5-6.9     <1%               3%          6.5-6.9       11%          27%           51%

7.0+        <1%               1%            7.0+        4%           13%           21%



 The ground motions associated with these earthquakes are part of the revised building
 code requirements, but not as a direct hit, and for about the next 5yrs the hazard level
 is higher than the 50 yr average reflected in the code




                                                             Natural Hazards Research Platform
                                                                                   GNS Science
Major lessons emerging
1. Land use planning controls to limit exposure to known liquefaction
   susceptibility were not enacted – failure to deflect development pressure
   and failure by science to spell-out likely impacts or consequences.
2.    Failure to find a solution to known earthquake prone building risk –
      this is largely a URM and older concrete inventory, not the
           two multistory buildings that collapsed. The built environment
           generally performed as expected or better than expected under
           extreme ground motions.
3. Poor communication of what building codes and rapid building
   inspections mean, and in risk communication. Engineers and scientists
   should talk to the public in terms of possible impacts, not “safe”, and not
   earthquake magnitudes.
4. High stress drop, extremely energetic earthquakes with higher than
   expected vertical accelerations may be a characteristic of some low
   strain rate parts of NZ – implications for hazard and code requirements
5. Code is for life safety but a cities future depends on functionality – how
      to achieve this in the code or city planning process ?
                                                       Natural Hazards Research Platform
                                                                             GNS Science
Rebuilding – challenges, impediments and opportunities
•   Getting people back into homes, businesses, and feeling secure
•   Building standards (life risk + serviceability?)
•   Insurability
•   Investment capital
•   Technical considerations (short term EQ risk, liquefaction)
•   The biggest build NZ will ever do (we hope) – a major urban
    renewal project




                                             Natural Hazards Research Platform
                                                                   GNS Science
Many, many acknowledgments……………

The science response to the Canterbury earthquakes has involved
major contributions from many professions and institutions, including:

GNS Science, University of Canterbury, New Zealand’s geotechnical &
structural engineering capacity, Auckland University, Victoria University,
and international collaborators from USA, Japan, Canada and elsewhere.

The science has been communicated to:

Civil Defence, CERA, Christchurch City Council and adjacent local
government authorities, Environment Canterbury, central government
departments (social development, education, justice, treasury, building &
housing), government Ministers, the insurance industry, and the business
community.

Making a difference - absorbing lessons learned as a memorial to the 185
persons that lost their lives in the February 22nd earthquake – requires
ongoing cooperation between science and policy. It is a work in progress.
                                                     Natural Hazards Research Platform
                                                                           GNS Science

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The Canterbury Earthquake Sequence: major geologic and social impacts - Kelvin Berryman

  • 1. The Canterbury Earthquake Sequence: major geologic and social impacts Kelvin Berryman – Director, Natural Hazards Research Platform 22 Feb, 2011 Natural Hazards Research Science GNS Platform
  • 2. Ruaumoko, the Maori god of earthquakes & volcanoes, has surprised us in Canterbury This talk: •Geologic context and characteristics of the earthquake sequence and impacts •Affects of the prolonged sequence •Impacts on the city, the people, and the regional economy •Soil liquefaction and rockfall •Land zoning, insurance and communities Natural Hazards Research Platform GNS Science
  • 3. Barnes et al, 2011 Regional Hikurangi Fault Subduction margin Patterns Wellington Christchurch Alpine Fault Jongens et al, 2012 Natural Hazards Research Platform GNS Science
  • 4. Evolution of the earthquake sequence Natural Hazards Research Platform GNS Science
  • 5. Natural Hazards Research Platform GNS Science
  • 6. Highfield Road, Sept 4th 2010 Quigley et al, UoC & GNS 4.5 m dextral & < 1 m vertical Natural Hazards Research Platform GNS Science
  • 7. Strike-slip component of surface slip on the 30 km long Greendale Fault. Very good fit with rupture models from seismology and geodesy Natural Hazards Research Platform GNS Science
  • 8. Natural Hazards Research Platform GNS Science
  • 9. Natural Hazards Research Platform GNS Science
  • 10. Natural Hazards Research Platform GNS Science
  • 11. Natural Hazards Research Platform GNS Science
  • 12. Natural Hazards Research Platform GNS Science
  • 13. Boxing Day and subsequent Chances of a M6+ in 1 year = This number was widely communicated but 25% in the aftershock region what did it mean – no scenario models in terms of impact were developed Natural Hazards Research Platform GNS Science
  • 14. Natural Hazards Research Platform GNS Science
  • 15. February and June fault slip inversions from GPS data – can also be compared with seismology and InSar Interpretation by Beaven et al., GNS Natural Hazards Research Platform GNS Science
  • 16. Comparison of four CBD records against code requirements 22 Feb 2011 Natural Hazards Research Platform GNS Science
  • 17. Natural Hazards Research Platform GNS Science
  • 18. Magnitude vs Time ( up to February 2013 ) Magnitude generally felt often not felt incomplete detection • More than 2 years of aftershocks have had major psycho-social impacts Natural Hazards Research Platform GNS Science
  • 19. The Impacts - Ground Motion (code level ~ 0.3g) 4 Sept 2010 26 Dec 2010 22 Feb 2011 13 June 2011 Natural Hazards Research Platform GNS Science
  • 20. A couple of perspectives …………………. 1.The Sept 2010 Darfield earthquake was near design level in the city •Damage wasn’t too bad except for unreinforced masonry (as expected) •Services were restored reasonably quickly (24 hrs for electricity, a few days in most places for water & waste water, liquefaction and lateral spread damage in a few places (future red zone) •But was there significant hidden damage to structures (CTV, for example)? 2. The Feb 2011 event was near to a 2500 yr return period event for the city •Damage was largely as would be expected •Most engineered structures performed quite well •Infrastructure was badly damaged, especially in future red zones & TC 2 &3 •The people and the city did very well, considering, but there is now an expectation in some quarters to have little or no damage in extreme events •Was performance good enough for an extreme event? What are acceptable levels of safety and economic resilience – red zoning implies unacceptable, what about repairability and functionality in extreme events Natural Hazards Research Platform GNS Science
  • 21. Features of the earthquake sequence in the NZ context A large (for NZ) natural hazard event in a small economy •10% of NZ’s 4.5 million people directly impacted •Total loss estimates c. $35b NZD – about 8-10% GDP •NZ’s economy about the same size as Munich-Re or IBM annual revenue Events such as this have the possibility of irreparably damaging the economy of small or developing nations Regional economy is strong (based on agriculture) •Port, airport, road and rail networks had very little downtime •95% of businesses are still operating albeit with downturn in tourism, education, and hospitality •Some migration away from Canterbury especially initially, now about 9,000 persons, but 30,000 new workers needed for rebuild – communities remained largely intact •Early government support for local business continuity and workforce A city cannot operate in isolation from its hinterland. Supply chains and infrastructure are critical. There was no need for widespread evacuation in Christchurch and this is a key tipping-point in regional economic resilience Natural Hazards Research Platform GNS Science
  • 22. Insurance Perspectives - Recent major earthquake events USD billion (at 2011 prices) Event Date Country Economic Economic losses Insured Insurance Losses as %GDP Losses Industry Contribution 11 March 11 Japan up to 300 up to 5.4% 35 up to 17% 27 Feb 11 Chile 30 18.6% 8 27% 22 Feb 11 NZ 15 10% 12 80% 12 Jan 10 Haiti 8 121% 0.1 1% 04 Sept 10 NZ 6 5.3% 5 81% 06 April 09 Italy 4 0.2% 0.5 14% 23 Oct 11 Turkey 0.75 0.1% 0.03 4% 04 April 10 Mexico 0.95 0.09% 0.2 21% Source: Swiss Re sigma catastrophe database NZ presents the highest ratio of insured to economic losses. Residential earthquake insurance virtually mandatory through the EQ Commission, so insurance plays a much greater role in reconstruction efforts than in other examples Natural Hazards Research Platform GNS Science
  • 23. Legend Repairs > $100k (houses which Residential Building Damage Map had significant damage but could be economically repaired Rebuilds (houses which are beyond economic repair) Confirmed rebuilds (houses which were confirmed to be beyond economic repair) Building damage after the 4 September 2010 event Natural Hazards Research Platform GNS Science
  • 24. Residential Building Damage Map Building Damage Ratio (Repair cost estimate / replacement cost) 0% (no building damage) 0% - 20% 20% - 40% 40% - 60% 60% - 80% 80% - 100% 100% (rebuild because it is uneconomic to repair the building) Building damage after the 22 February 2011 event Natural Hazards Research Platform GNS Science
  • 25. Sept 4, 2010 Natural Hazards Research Platform GNS Science
  • 26. Feb 22, 2011 Natural Hazards Research Platform GNS Science
  • 27. Rockfall Hazard Natural Hazards Research Platform GNS Science
  • 28. Liquefaction Natural Hazards Research Platform GNS Science
  • 29. 6.5 Ka New Zealand Historical Atlas 1997 7 Ka 5 Ka 8 Ka 3 Ka 2 Ka 1 Ka Why is liquefaction such an issue in eastern Christchurch? Natural Hazards Research Platform GNS Science
  • 30. Time-Varying Earthquake Hazard Forecast • Used to inform update of building codes • Accounts for different earthquake clustering scales • Combines four different models • Used to estimate probabilities of ground shaking • Short-term clustering model – STEP - Days to Year(s) • Medium-term clustering model – EEPAS - Years to decades • Long-term average model – PPE - Average earthquake rate since 1960 • NSHM fault model - Longest- term mostly time-independent Yearly number of earthquakes greater than M 5 from four models Gerstenberger, Rhoades, et al, GNS Natural Hazards Research Platform GNS Science
  • 31. Refined Forecast for Canterbury region (whole of Canterbury Plains) starting April 15th, 2012 1 Month 1 Year 5 years 20 years 50 years Prob Prob Prob Prob Prob 5.0-5.4 15% 76% 5.0-5.4 99% 100% 100% 5.5-5.9 5% 34% 5.5-5.9 75% 97% 100% <3% 6.0-6.4 34% 64% 83% 6.0-6.4 1% 11% for city 6.5-6.9 <1% 3% 6.5-6.9 11% 27% 51% 7.0+ <1% 1% 7.0+ 4% 13% 21% The ground motions associated with these earthquakes are part of the revised building code requirements, but not as a direct hit, and for about the next 5yrs the hazard level is higher than the 50 yr average reflected in the code Natural Hazards Research Platform GNS Science
  • 32. Major lessons emerging 1. Land use planning controls to limit exposure to known liquefaction susceptibility were not enacted – failure to deflect development pressure and failure by science to spell-out likely impacts or consequences. 2. Failure to find a solution to known earthquake prone building risk – this is largely a URM and older concrete inventory, not the two multistory buildings that collapsed. The built environment generally performed as expected or better than expected under extreme ground motions. 3. Poor communication of what building codes and rapid building inspections mean, and in risk communication. Engineers and scientists should talk to the public in terms of possible impacts, not “safe”, and not earthquake magnitudes. 4. High stress drop, extremely energetic earthquakes with higher than expected vertical accelerations may be a characteristic of some low strain rate parts of NZ – implications for hazard and code requirements 5. Code is for life safety but a cities future depends on functionality – how to achieve this in the code or city planning process ? Natural Hazards Research Platform GNS Science
  • 33. Rebuilding – challenges, impediments and opportunities • Getting people back into homes, businesses, and feeling secure • Building standards (life risk + serviceability?) • Insurability • Investment capital • Technical considerations (short term EQ risk, liquefaction) • The biggest build NZ will ever do (we hope) – a major urban renewal project Natural Hazards Research Platform GNS Science
  • 34. Many, many acknowledgments…………… The science response to the Canterbury earthquakes has involved major contributions from many professions and institutions, including: GNS Science, University of Canterbury, New Zealand’s geotechnical & structural engineering capacity, Auckland University, Victoria University, and international collaborators from USA, Japan, Canada and elsewhere. The science has been communicated to: Civil Defence, CERA, Christchurch City Council and adjacent local government authorities, Environment Canterbury, central government departments (social development, education, justice, treasury, building & housing), government Ministers, the insurance industry, and the business community. Making a difference - absorbing lessons learned as a memorial to the 185 persons that lost their lives in the February 22nd earthquake – requires ongoing cooperation between science and policy. It is a work in progress. Natural Hazards Research Platform GNS Science

Editor's Notes

  1. Surface slip distribution along the Greendale fault
  2. Sept 4 th – a close call but no actual collapse and fewer people in high-risk buildings
  3. Feb 22 nd – a completely different story – lunchtime, tourists in the heritage (in many cases earthquake prone) buildings. Much much greater impacts