Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno…...

22
Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy

Transcript of Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno…...

Page 1: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

Application of Simulated Data: The Mt Etna Case

Langer, Tusa, Scarfì, Azarro, Varini*, Zonno…INGV – Oss. Etneo, Catania, Italy

CNR-IMATI – Milano, Italy

Page 2: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

Tectonic & Geological Features

Siniscalco et al., 2012

Page 3: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

Deformation Field

Regional Displacement field, see D’Agostino & Selvaggi, 2004

Horizontal Displacement (p. a., in mm) see Gugielmino et al., 2011

Page 4: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

Seismicity Patterns Etna(2009-2012)

© INGV – staff analysts Oss. Etneo, Catania)-

Page 5: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

Typical Waveforms of Shallow (SEE) and Deeper Etna Events

(DEE)

-2.0E+06

-1.5E+06

-1.0E+06

-5.0E+05

0.0E+00

5.0E+05

1.0E+06

1.5E+06

2.0E+06

0 5 10 15 20 25

Time (s)

Vel

oci

ty (

cts)

-3.0E+06

-2.0E+06

-1.0E+06

0.0E+00

1.0E+06

2.0E+06

3.0E+06

0 5 10 15 20 25

Time (s)

Vel

oci

ty (

cts)

-3.0E+06

-2.0E+06

-1.0E+06

0.0E+00

1.0E+06

2.0E+06

3.0E+06

0 5 10 15 20 25

Time (s)

Vel

oci

ty (

cts)

-1.5E+06

-1.0E+06

-5.0E+05

0.0E+00

5.0E+05

1.0E+06

1.5E+06

0 5 10 15 20 25

Time (s)

Vel

oci

ty (

cts)

-2.0E+06

-1.5E+06

-1.0E+06

-5.0E+05

0.0E+00

5.0E+05

1.0E+06

1.5E+06

2.0E+06

0 5 10 15 20 25

Time (s)

Vel

oci

ty (

cts)

-2.5E+06

-2.0E+06

-1.5E+06

-1.0E+06

-5.0E+05

0.0E+00

5.0E+05

1.0E+06

1.5E+06

2.0E+06

2.5E+06

0 5 10 15 20 25

Time (s)

Vel

oci

ty (

cts)

E

N

Z

Supferf. Etnean Event (M=3.8, d=5km, z= 1 km) Deeper Etnean Event (M=3.6, d=5km, z= 6 km)

Page 6: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

The basement of Mt Etna

Resistivity profile after Siniscalco et al., 2012. Intermediate resisitivy (several to ca. 60 Ohm.m are indentified as sedimentary substratum, mainly tertiary and quaternary clays)

Page 7: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

Data Set from Relevant Areas

Page 8: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

Empirical GMPEs

Group Y a b c LogY

SEE*

PGA (cm s-2) -0.805 0.817 -1.989 0.372

PGV (cm s-1) -2.898 1.060 -1.829 0.365

PGD (cm) -4.580 1.279 -1.668 0.382

DEE**PGA (cm s-2) -0.298 0.845 -2.002 0.372

PGV (cm s-1) -2.071 0.883 -1.813 0.328

PGD (cm) -3.474 0.862 -1.523 0.345

EEE***PGA (cm s-2) -0.293 0.809 -1.835 0.410

PGV (cm s-1) -2.322 0.946 -1.704 0.347

PGD (cm) -4.061 1.003 -1.402 0.369

Page 9: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

Empirical Ground Motion Prediction(3<M<4.8)

Shallow (z=1km), M=4.3 Deep(z=25),M=4.4

Page 10: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

The Problem of Direct Extrapolation of empirical GMPEs

-1

0

1

2

3

4

0.5 1 1.5 2

Log Dist [km]

Lo

g P

GA

[g

al]

Etna DEE M=4 Etna DEE M=6 Sabette & Pugliese '87 M=4 Sabetta & Pugliese '87 M=6

Page 11: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

A Way Out: Complex Extented Source Model (EXSIM)

Page 12: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

-4-3.5

-3-2.5

-2-1.5

-1-0.5

0

0.51

0 0.5 1 1.5 2 2.5

Log Dist Hypo (km)

Lo

g A

max

(g

al)

First attempts…Empirical Results for M=3.3

Synthetic Results (EXSIMI) for Standard Input Parameters (M=3.3,

z=1 km, L=W=500m, stress =5 bar, Q=30*f0.7)

Page 13: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

Trial Input Parameters (Etna)Q0 (f < 1Hz) QN βS (sup/deep) βM (sup/deep) R-1 R0 R-0.5

90 90*f0.7 1.8/3.0 km/s 2.4-3.0/3-3.5 km/s 0-35 35-70 >70 km

βS= velocity at sourc, βM = velocity of propagation medium (geom. spreading)

Mw (5/50 bar) 3.3/4.0 4.3/5.0 5.3/6.0 --/7.0Length (km) 0.88 2.8 8.8 28.0Width (km) 0.44 1.4 4.4 14.0

Etna 1914 Etna 9.10.2002Mw 5 4.8

Stress 20 bar 20 barLength (km) 8.0 5.6Width (km) 2.5 1.4

General scaling laws

Case studies (superficial)

Page 14: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

SEE, M=3.3.fmax =5

DEE, M=4

Exsim Synthetic (Hardrock) vs. Empiric

Page 15: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

Site Thickness S-Velocity Density QSite C 5 m 100 m/s 1700 kg/m3 10

5 m 400 m/s 1700 kg/m3 20Site B 20 m 400 m/s 1700 kg/m3 15

Volc. Rock 100 m 2000 m/s 2000 kg/m3 30

Layer Thickness S-velocity Density Q

Shale 100 m 600 m/s 1800 kg/m3 20

Cons. Shale 500 m 1500 m/s 2100 kg/m3 70

Cons. Shale 300 m 1700 m/s 2200 kg/m3 100

Limestone 5000 m 2600 m/s 2500 kg/m3 150

Basement 3500 m/s 2800 kg/m3

Generalized Velocity Models

Page 16: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

Case Mt Etna, 1914. M=5, I =IX

I (Observed)

I (from Housner Intensity: I = 1.41 ln (Ih)

+7.98

Exsim, Site C

Exsim, Site B

Exsim, Hardrock

Page 17: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

Case Mt Etna 1914 (M ca. 5, I = IX)

Page 18: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

I (Observed)

Case Etna, 1914, (ctd)

Log PGA (gal), syn Log PGV (cm/s), syn.

Page 19: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

Etna 29.10.2002 Etna 29.10.2002 (EXSIM)Io VIII 8

PGA 18 km 15 gal 8…15 galPGV 4.5 cm/s 0.6..1.1 cm/s

From Milana et al., 2008

Page 20: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

Exsim simulation for M=6 DEE event: Catania /Acireale 1818

Page 21: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

-1

-0.5

0

0.5

1

1.5

2

2.5

3

0.5 1 1.5 2

Log Dist Campbell [km]

Lo

g P

GA

[g

al]

M=4

M=5

M=6

M=7

-1

-0.5

0

0.5

1

1.5

2

2.5

3

0.5 1 1.5 2

Log Dist JB [km]

Lo

g P

GA

[g

al ]

M=4

M=5

M=6

M=7

“Extrapolation” via synthetic simulation

-1

0

1

2

3

4

0.5 1 1.5 2

Lo

g P

GA

[g

al]

Log Dist [km]

Etna DEE M=4

Etna DEE M=6

Sabette & Pugliese '87 M=4

Sabetta & Pugliese '87 M=6

Page 22: Application of Simulated Data: The Mt Etna Case Langer, Tusa, Scarfì, Azarro, Varini*, Zonno… INGV – Oss. Etneo, Catania, Italy CNR-IMATI – Milano, Italy.

Conclusion

• Distinction of two dynamic regimes• Different GMPE for shallow and deeper events• Empirical GMPEs should not extrapolated to

larger events• Small events may be used for calibrating input

pameters in synthetic modelling• Discrepances between empirical GMPEs for

large and small earthquakes can be explained by using extended sources.