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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