The European [SHARE] Seismic Hazard Model: Genesis, Evolution and Key, Aspects, L. Danciu , J....

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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

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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

Transcript of The European [SHARE] Seismic Hazard Model: Genesis, Evolution and Key, Aspects, L. Danciu , J....

Page 1: The European [SHARE] Seismic Hazard Model: Genesis, Evolution and Key,  Aspects, L. Danciu , J. Woessner, D. Giardini and the SHARE Consortium, GEM reveal 2013

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

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GSHAP  

[1999]  

SESAME  

[2003]  

European  PSHA  Model:  Genesis  

[2013]  

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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    

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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!  

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Earthquake Catalog: SHEEC

Stucchi  et  al.,  2012  (J.  of  Seismology)  Grünthal  et  al.,  2012  (J.  of  Seismology)  

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SHEEC Completeness Super- Zones

M.  Stucchi  ,  A,  Rovida  G.  Grünthal  

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http://www.emidius.eu/SHEEC/

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Strategy for Mmax in Different Tectonic Regimes

C.  Mele4,  V.  D’Amico  (INGV)    

EPRI  approach  

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Distribution of Mmax in Different Tectonic Regimes

C.  MeleX,  V.  D’Amico  (INGV)    

EPRI  approach  

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Mmax spatial distribution

Highest  Mmax  

Lowest  weight  (w  =  0.1)  

Lowest  Mmax  

Highest  weight  (w  =  0.5)  

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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.)  

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SHARE Source Model – Logic Tree

TradiConal  Area  Source  (AS)  Model  

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Area Source Model [As Model]: Crustal Sources

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As Model: Subduction Interface

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As Model: Subduction Interface

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Area Source Model: Crustal and Deep Sources As Model: Crustal + Subduction + Deep Seismicity

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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  

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As Model : Summary of the Activity Parameters

Large  spa*al  varia*on  on  b-­‐values    within  the  same  tectonic  regime  

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As Model: Fitting Results

The  beauty  

The  ugly  

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As Model: Fitting Results

200yrs  

75  yrs  

The  dangerous  

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As Model – Activity Adjustments • Expert  Fiang  

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As Model – Adjusted Activity Spatial Distribution

b-­‐value  spa*al  varia*on  was  reduced  

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As Model: PGA Hazard Map - PoEs10%50yrs

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SHARE Source Model Logic Tree

Fault  Source  (FS)  +  Background  (BG)    Model  

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Faults & Background Source Model [FsFb Model]

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Faults & Background Source Model [FsFb Model]

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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

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FsFb Model: Activity Estimation

background   faults  

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FsFb Model: Activity Estimation (con.nue)  

Page 30: The European [SHARE] Seismic Hazard Model: Genesis, Evolution and Key,  Aspects, L. Danciu , J. Woessner, D. Giardini and the SHARE Consortium, GEM reveal 2013

FsFb Model: PGA Hazard Map 10%PoE 50yrs

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R.  Basili  et  al  2013  

hbp://diss.rm.ingv.it/share-­‐edsf/  

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SHARE Source Model Logic Tree

StochasCc  Earthquake  Source  Model    (Hiemer  et  al.;  Woessner  et  al.;  in  prep.)  

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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      

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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

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Kernel Smooth Seismicity and Fault Model

S.  Hiemer  et  al  2013  

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Kernel Smooth Seismicity and Fault Model

PGA  Hazard  Map  10%PoE  50yrs  

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Ground Motion Prediction Equations [GMPEs]

Logic Tree

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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.  

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Procedure to the SHARE-GMPE Logic Tree SHARE  -­‐  Strong  Ground  Mo.on  Dataset    

(Scherbaum  et  al.  [2009];    Delavaud  et  al.  [2009])  

Experts  Opin

ion  

Data  Driven    

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SHARE - GMPE Logic Tree

Delavaud  et  al.,  2012,  J.  Seis.  

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SHARE Logic Tree Weights •  Proposed weighting schemes for active shallow crust:!

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GMPEs Weighting Schemes Sensitivity"

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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)  

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Results

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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

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Mean Seismic Hazard Map As  Model  

Fs  Model  

SEIFA  Model  

10%PoE  50yrs  

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PGA: 10% Prob. Of Exceedance in 50y

Difference  to  Mean  Model  

95%  Quan.le  

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PGA – Quantile 10% PoE 50y

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PGA Disaggregation: Basel 2%PoEs50yrs

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EUROPEAN  FACILITY  FOR  HAZARD  AND  RISK  

www.efehr.org  

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SHARE Consortium

hlp://www.share-­‐eu.org/