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The European [SHARE] Seismic
Hazard Model:
Genesis, Evolution and Key Aspects
L. Danciu , J. Woessner, D. Giardini and the SHARE Consortium
GSHAP	
  
[1999]	
  
SESAME	
  
[2003]	
  
European	
  PSHA	
  Model:	
  Genesis	
  
[2013]	
  
European	
  PSHA	
  Model:	
  Goals	
  
Harmonize	
  hazard	
  
assessment	
  across	
  na.onal	
  
borders	
  
On	
  data	
  level,	
  modeling	
  
level	
  and	
  procedural	
  level	
  
Create	
  a	
  community-­‐based	
  
Cme-­‐independent	
  (rock)	
  
reference	
  hazard	
  model	
  for	
  
the	
  Euro-­‐Mediterranean	
  
region	
  
Keep	
  close	
  connec.on	
  to	
  
engineering	
  requirements	
  of	
  
EC8	
  and	
  its	
  future	
  revision	
  	
  
European	
  PSHA	
  Model:	
  Goals	
  
Hazard	
  
So@ware	
  
“Black	
  Box”	
  	
  	
  
INPUT	
   OUTPUT	
  
“Easy	
  Review”	
  	
  Box	
  
Data	
  
Interpreta.ons	
  
Assump.ons	
  
All	
  steps	
  of	
  the	
  seismic	
  hazard	
  assessment	
  have	
  to	
  be:	
  
•  Validated	
  
•  Benchmarked	
  	
  
•  Reproducible	
  
All	
  data	
  is	
  documented	
  and	
  	
  open	
  to	
  access!	
  
Earthquake Catalog: SHEEC
Stucchi	
  et	
  al.,	
  2012	
  (J.	
  of	
  Seismology)	
  
Grünthal	
  et	
  al.,	
  2012	
  (J.	
  of	
  Seismology)	
  
SHEEC Completeness Super- Zones
M.	
  Stucchi	
  ,	
  A,	
  Rovida	
  
G.	
  Grünthal	
  
http://www.emidius.eu/SHEEC/
Strategy for Mmax in Different Tectonic Regimes
C.	
  Mele4,	
  V.	
  D’Amico	
  (INGV)	
  	
  
EPRI	
  approach	
  
Distribution of Mmax in Different Tectonic Regimes
C.	
  MeleX,	
  V.	
  D’Amico	
  (INGV)	
  	
  
EPRI	
  approach	
  
Mmax spatial distribution
Highest	
  Mmax	
  
Lowest	
  weight	
  
(w	
  =	
  0.1)	
  
Lowest	
  Mmax	
  
Highest	
  weight	
  
(w	
  =	
  0.5)	
  
Building the SHARE Source Model
TradiConal	
  Area	
  Source	
  (AS)	
  Model	
  
Fault	
  Source	
  (FS)	
  +	
  Background	
  (BG)	
  	
  
Model	
  
Smoothed	
  Seismicity	
  Model	
  
(Woo,	
  1996;	
  Grünthal	
  et	
  al.,	
  in	
  prep)	
  
StochasCc	
  Earthquake	
  Source	
  Model	
  	
  
(Hiemer	
  et	
  al.;	
  Woessner	
  et	
  al.;	
  in	
  prep.)	
  
SHARE Source Model – Logic Tree
TradiConal	
  Area	
  Source	
  (AS)	
  Model	
  
Area Source Model [As Model]: Crustal Sources
As Model: Subduction Interface
As Model: Subduction Interface
Area Source Model: Crustal and Deep SourcesAs Model: Crustal + Subduction + Deep Seismicity
As Model: Seismic Activity Computation
-­‐2.5	
  
-­‐2.0	
  
-­‐1.5	
  
-­‐1.0	
  
-­‐0.5	
  
0.0	
  
0.5	
  
1.0	
  
3	
   3.5	
   4	
   4.5	
   5	
   5.5	
   6	
   6.5	
   7	
   7.5	
  
Log	
  N	
  
Mw	
  
Data	
  post	
  1800	
  
Data	
  post	
  1965	
  
Best	
  fit	
  
Uncertainty	
  (1)	
  
Uncertainty	
  (2)	
  
b	
  
0.953	
   0.916	
   0.878	
   0.84	
   0.802	
  
5.731	
   0.009	
   0.027	
   0.028	
   0.010	
   0.001	
  
A	
   5.426	
   0.020	
   0.073	
   0.096	
   0.043	
   0.006	
  
5.121	
   0.021	
   0.089	
   0.147	
   0.085	
   0.015	
  
4.842	
   0.015	
   0.049	
   0.100	
   0.073	
   0.017	
  
4.563	
   0.002	
   0.012	
   0.030	
   0.028	
   0.008	
  
A	
  is	
  number	
  of	
  events	
  ≥	
  0.0	
  Mw	
  per	
  year	
  
Example:	
  Corfu	
  Island,	
  Greece	
  	
  
Courtesy	
  to	
  R.	
  Musson	
  
As Model : Summary of the Activity Parameters
Large	
  spa*al	
  varia*on	
  on	
  b-­‐values	
  	
  within	
  the	
  same	
  
tectonic	
  regime	
  
As Model: Fitting Results
The	
  beauty	
  
The	
  ugly	
  
As Model: Fitting Results
200yrs	
  
75	
  yrs	
  
The	
  dangerous	
  
As Model – Activity Adjustments
• Expert	
  Fiang	
  
As Model – Adjusted Activity Spatial Distribution
b-­‐value	
  spa*al	
  varia*on	
  was	
  reduced	
  
As Model: PGA Hazard Map - PoEs10%50yrs
SHARE Source Model Logic Tree
Fault	
  Source	
  (FS)	
  +	
  Background	
  (BG)	
  	
  
Model	
  
Faults & Background Source Model [FsFb Model]
Faults & Background Source Model [FsFb Model]
Faults & Background Source Model [FsFb Model]
  AcCvity	
  rates	
  are	
  calculated	
  from	
  geologic	
  
informaCon:	
  
•  Slip rate
•  Fault length / aspect ratio
•  Maximum Magnitude
  Recurrence	
  Rate	
  Model:	
  
•  Fault Source (M ≥ 6)
Anderson & Luco (1983) Model 2:
•  Background (M < 6.5): modeled like Area Source Model
•  b-value assumed to be equal on-/ off-fault
FsFb Model: Activity Estimation
background	
   faults	
  
FsFb Model: Activity Estimation (con.nue)	
  
FsFb Model: PGA Hazard Map 10%PoE 50yrs
R.	
  Basili	
  et	
  al	
  2013	
  
hbp://diss.rm.ingv.it/share-­‐edsf/	
  
SHARE Source Model Logic Tree
StochasCc	
  Earthquake	
  Source	
  Model	
  	
  
(Hiemer	
  et	
  al.;	
  Woessner	
  et	
  al.;	
  in	
  prep.)	
  
Kernel Smooth Seismicity and Fault Model
Seismicity	
   Faults	
  (SSZ)	
  
Procedure
1.  Calculate spatial location PDFs
  Smoothed Seismicity: PE
  Smoothed Faults: PF
2.  Weighting
  Linear weighting according to
probabilities PF and PE
3.  Calculate earthquake rate
  Only Seismicity: R=PE*N(MW=6.5)
  Only Faults: R=PF*N(MW=8.5)
Seismicity	
  
Faults	
  	
  
Normalized	
  Earthquake	
  Rate	
  	
  	
  
Kernel Smooth Seismicity and Fault Model
  Optimize kernel using a
CSEP likelihood tests
  Split catalog in learning and
target period
  Optimize on 5 year target
period
  Use best likelihood-value to
generate model rates
Learning Period Target Period
1000 2002 2007
Kernel Smooth Seismicity and Fault Model
S.	
  Hiemer	
  et	
  al	
  2013	
  
Kernel Smooth Seismicity and Fault Model
PGA	
  Hazard	
  Map	
  10%PoE	
  50yrs	
  
Ground Motion
Prediction Equations [GMPEs]
Logic Tree
Procedure to the SHARE-GMPE Logic Tree
  Engineering requirements
were (WP2) defined as
constraint at the beginning of
the project (a “wish list”)
  Differences in coverage of
magnitude – distance and
frequency range poses
challenges for hazard
computation
Delavaud	
  et	
  al.,	
  2012,	
  J.	
  Seis.	
  
Procedure to the SHARE-GMPE Logic Tree
SHARE	
  -­‐	
  Strong	
  Ground	
  Mo.on	
  Dataset	
  	
  
(Scherbaum	
  et	
  al.	
  [2009];	
  	
  
Delavaud	
  et	
  al.	
  [2009])	
  
Experts	
  Opinion	
  
Data	
  Driven	
  	
  
SHARE - GMPE Logic Tree
Delavaud	
  et	
  al.,	
  2012,	
  J.	
  Seis.	
  
SHARE Logic Tree Weights
• Proposed weighting schemes for active shallow crust:!
GMPEs Weighting Schemes Sensitivity"
GMPEs Weighting Schemes Sensitivity"
Percentage Difference
Results:!
• Area Source: !
• The Percentage Difference
(%) is within 5 to 11%!
• Highest values when
compared with WS7 !
WS6:	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  WS7:	
  
AB2010(0.35)	
  	
  	
  	
  	
  	
  	
  	
  	
  AB2010(0.10)	
  
CF2008(0.35)	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  CF2008(0.40)	
  	
  	
  	
  
Zhao06(0.10)	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Zhao06(0.10)	
  
CY2008(0.20)	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  CY2008(0.40)	
  
Results
Quality Checks
  Moment comparisons to strain rate model for
the single source models
  CSEP rate forecast test vs. independent
data of USGS / NEIC
  Comparison to previous hazard
assessments
  Sensitivity analysis on
  Depth distribution
  Point source vs. Extended source
calculations
Mean Seismic Hazard Map
As	
  Model	
  
Fs	
  Model	
  
SEIFA	
  Model	
  
10%PoE	
  50yrs	
  
PGA: 10% Prob. Of Exceedance in 50y
Difference	
  to	
  Mean	
  Model	
  
95%	
  Quan.le	
  
PGA – Quantile 10% PoE 50y
PGA Disaggregation: Basel
2%PoEs50yrs
EUROPEAN	
  FACILITY	
  FOR	
  HAZARD	
  AND	
  RISK	
  
www.efehr.org	
  
SHARE
Consortium
hlp://www.share-­‐eu.org/	
  

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The European [SHARE] Seismic Hazard Model: Genesis, Evolution and Key, Aspects, L. Danciu , J. Woessner, D. Giardini and the SHARE Consortium, GEM reveal 2013

  • 1. The European [SHARE] Seismic Hazard Model: Genesis, Evolution and Key Aspects L. Danciu , J. Woessner, D. Giardini and the SHARE Consortium
  • 2. GSHAP   [1999]   SESAME   [2003]   European  PSHA  Model:  Genesis   [2013]  
  • 3. European  PSHA  Model:  Goals   Harmonize  hazard   assessment  across  na.onal   borders   On  data  level,  modeling   level  and  procedural  level   Create  a  community-­‐based   Cme-­‐independent  (rock)   reference  hazard  model  for   the  Euro-­‐Mediterranean   region   Keep  close  connec.on  to   engineering  requirements  of   EC8  and  its  future  revision    
  • 4. European  PSHA  Model:  Goals   Hazard   So@ware   “Black  Box”       INPUT   OUTPUT   “Easy  Review”    Box   Data   Interpreta.ons   Assump.ons   All  steps  of  the  seismic  hazard  assessment  have  to  be:   •  Validated   •  Benchmarked     •  Reproducible   All  data  is  documented  and    open  to  access!  
  • 5. Earthquake Catalog: SHEEC Stucchi  et  al.,  2012  (J.  of  Seismology)   Grünthal  et  al.,  2012  (J.  of  Seismology)  
  • 6. SHEEC Completeness Super- Zones M.  Stucchi  ,  A,  Rovida   G.  Grünthal  
  • 8. Strategy for Mmax in Different Tectonic Regimes C.  Mele4,  V.  D’Amico  (INGV)     EPRI  approach  
  • 9. Distribution of Mmax in Different Tectonic Regimes C.  MeleX,  V.  D’Amico  (INGV)     EPRI  approach  
  • 10. Mmax spatial distribution Highest  Mmax   Lowest  weight   (w  =  0.1)   Lowest  Mmax   Highest  weight   (w  =  0.5)  
  • 11. Building the SHARE Source Model TradiConal  Area  Source  (AS)  Model   Fault  Source  (FS)  +  Background  (BG)     Model   Smoothed  Seismicity  Model   (Woo,  1996;  Grünthal  et  al.,  in  prep)   StochasCc  Earthquake  Source  Model     (Hiemer  et  al.;  Woessner  et  al.;  in  prep.)  
  • 12. SHARE Source Model – Logic Tree TradiConal  Area  Source  (AS)  Model  
  • 13. Area Source Model [As Model]: Crustal Sources
  • 14. As Model: Subduction Interface
  • 15. As Model: Subduction Interface
  • 16. Area Source Model: Crustal and Deep SourcesAs Model: Crustal + Subduction + Deep Seismicity
  • 17. As Model: Seismic Activity Computation -­‐2.5   -­‐2.0   -­‐1.5   -­‐1.0   -­‐0.5   0.0   0.5   1.0   3   3.5   4   4.5   5   5.5   6   6.5   7   7.5   Log  N   Mw   Data  post  1800   Data  post  1965   Best  fit   Uncertainty  (1)   Uncertainty  (2)   b   0.953   0.916   0.878   0.84   0.802   5.731   0.009   0.027   0.028   0.010   0.001   A   5.426   0.020   0.073   0.096   0.043   0.006   5.121   0.021   0.089   0.147   0.085   0.015   4.842   0.015   0.049   0.100   0.073   0.017   4.563   0.002   0.012   0.030   0.028   0.008   A  is  number  of  events  ≥  0.0  Mw  per  year   Example:  Corfu  Island,  Greece     Courtesy  to  R.  Musson  
  • 18. As Model : Summary of the Activity Parameters Large  spa*al  varia*on  on  b-­‐values    within  the  same   tectonic  regime  
  • 19. As Model: Fitting Results The  beauty   The  ugly  
  • 20. As Model: Fitting Results 200yrs   75  yrs   The  dangerous  
  • 21. As Model – Activity Adjustments • Expert  Fiang  
  • 22. As Model – Adjusted Activity Spatial Distribution b-­‐value  spa*al  varia*on  was  reduced  
  • 23. As Model: PGA Hazard Map - PoEs10%50yrs
  • 24. SHARE Source Model Logic Tree Fault  Source  (FS)  +  Background  (BG)     Model  
  • 25. Faults & Background Source Model [FsFb Model]
  • 26. Faults & Background Source Model [FsFb Model]
  • 27. Faults & Background Source Model [FsFb Model]   AcCvity  rates  are  calculated  from  geologic   informaCon:   •  Slip rate •  Fault length / aspect ratio •  Maximum Magnitude   Recurrence  Rate  Model:   •  Fault Source (M ≥ 6) Anderson & Luco (1983) Model 2: •  Background (M < 6.5): modeled like Area Source Model •  b-value assumed to be equal on-/ off-fault
  • 28. FsFb Model: Activity Estimation background   faults  
  • 29. FsFb Model: Activity Estimation (con.nue)  
  • 30. FsFb Model: PGA Hazard Map 10%PoE 50yrs
  • 31. R.  Basili  et  al  2013   hbp://diss.rm.ingv.it/share-­‐edsf/  
  • 32. SHARE Source Model Logic Tree StochasCc  Earthquake  Source  Model     (Hiemer  et  al.;  Woessner  et  al.;  in  prep.)  
  • 33. Kernel Smooth Seismicity and Fault Model Seismicity   Faults  (SSZ)   Procedure 1.  Calculate spatial location PDFs   Smoothed Seismicity: PE   Smoothed Faults: PF 2.  Weighting   Linear weighting according to probabilities PF and PE 3.  Calculate earthquake rate   Only Seismicity: R=PE*N(MW=6.5)   Only Faults: R=PF*N(MW=8.5) Seismicity   Faults     Normalized  Earthquake  Rate      
  • 34. Kernel Smooth Seismicity and Fault Model   Optimize kernel using a CSEP likelihood tests   Split catalog in learning and target period   Optimize on 5 year target period   Use best likelihood-value to generate model rates Learning Period Target Period 1000 2002 2007
  • 35. Kernel Smooth Seismicity and Fault Model S.  Hiemer  et  al  2013  
  • 36. Kernel Smooth Seismicity and Fault Model PGA  Hazard  Map  10%PoE  50yrs  
  • 38. Procedure to the SHARE-GMPE Logic Tree   Engineering requirements were (WP2) defined as constraint at the beginning of the project (a “wish list”)   Differences in coverage of magnitude – distance and frequency range poses challenges for hazard computation Delavaud  et  al.,  2012,  J.  Seis.  
  • 39. Procedure to the SHARE-GMPE Logic Tree SHARE  -­‐  Strong  Ground  Mo.on  Dataset     (Scherbaum  et  al.  [2009];     Delavaud  et  al.  [2009])   Experts  Opinion   Data  Driven    
  • 40. SHARE - GMPE Logic Tree Delavaud  et  al.,  2012,  J.  Seis.  
  • 41. SHARE Logic Tree Weights • Proposed weighting schemes for active shallow crust:!
  • 42. GMPEs Weighting Schemes Sensitivity"
  • 43. GMPEs Weighting Schemes Sensitivity" Percentage Difference Results:! • Area Source: ! • The Percentage Difference (%) is within 5 to 11%! • Highest values when compared with WS7 ! WS6:                                                WS7:   AB2010(0.35)                  AB2010(0.10)   CF2008(0.35)                    CF2008(0.40)         Zhao06(0.10)                    Zhao06(0.10)   CY2008(0.20)                    CY2008(0.40)  
  • 45. Quality Checks   Moment comparisons to strain rate model for the single source models   CSEP rate forecast test vs. independent data of USGS / NEIC   Comparison to previous hazard assessments   Sensitivity analysis on   Depth distribution   Point source vs. Extended source calculations
  • 46. Mean Seismic Hazard Map As  Model   Fs  Model   SEIFA  Model   10%PoE  50yrs  
  • 47. PGA: 10% Prob. Of Exceedance in 50y Difference  to  Mean  Model   95%  Quan.le  
  • 48. PGA – Quantile 10% PoE 50y
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  • 54. EUROPEAN  FACILITY  FOR  HAZARD  AND  RISK   www.efehr.org