Application of simulated data

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Application of simulated data. Elisa Verini CNR-IMATI, Milano, Italy Alexandra Carvalho LNEC, Lisboa, Portugal Gaetano Zonno INGV, Milano, Italy. Lopes, 2008 Fonte: IM, 1983. Kaka & Atkinson (2004). Felt. Forecast. MMI. PGV. 37 soil profiles. 37. 3. Site effects - PowerPoint PPT Presentation

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Application of simulated data

Elisa VeriniCNR-IMATI, Milano, Italy

Alexandra CarvalhoLNEC, Lisboa, Portugal

Gaetano ZonnoINGV, Milano, Italy

Lopes, 2008 Fonte: IM, 1983

PGV

MMIFelt ForecastKaka & Atkinson (2004)

37 soil profiles

Groundtype Stratigraphic profile vs [m/s]

A Rock and hard soil > 350B Intermediate soil 200-350C Soft soil < 200

N

10 0 10 Kilometers

Soil classesHard soilInterm. soilSoft soil

37

3

0

0.2

0.4

0.6

0.8

1

1.2

0 5 10 15 20 25Sd [cm]

Sa [g]

Site effects• Soil dynamic amplification

PGV – Seismic input at bedrock level

PGV – Surface seismic motion

PGV

MMIFelt ForecastKaka & Atkinson (2004)

Felt Forecast

Forecast

PGV

MMI

Atkinson & Kaka (2007)

data: 21 distances x 8 azimuths x 18 magnitudes x 15 x 15 simulations= 45360 spectra

Stochastic methodology applied to the definition of MCE

O

)(),(

fQeRfAtp

Rf

1/1.5 1.5( ) 1/1.5 1.5 2.5

1/1.5 2.5 / 2.5

D R DG R D D R D

D R R D

Inelastic attenuation

Geometric attenuation

kfefAtc )(Upper crustal attenuation

Application of simulated data

Elisa VeriniCNR-IMATI, Milano, Italy

Alexandra CarvalhoLNEC, Lisboa, Portugal

Gaetano ZonnoINGV, Milano, Italy

Rocha e solo duroSolo intermédioSolo brando

Rocha e solo duroSolo intermédioSolo brando

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