2nd year SAFER Project meeting. Armada Hotel, Istanbul, Turkey 25-27 June, 2008. Information-dependent lead time maps for earthquake early warning in the Campania region Iunio Iervolino Assistant Professor of Structural Engineering Dipartimento di Ingegneria Strutturale Università degli Studi di Napoli Federico II, Naples, Italy.
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2nd year SAFER Project meeting. Armada Hotel, Istanbul, Turkey 25-27 June, 2008. Information-dependent lead time maps for earthquake early warning in the.
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2nd year SAFER Project meeting. Armada Hotel, Istanbul, Turkey 25-27 June, 2008.
Information-dependent lead time maps for earthquake early warning in the Campania region
Iunio IervolinoAssistant Professor of Structural Engineering
Dipartimento di Ingegneria Strutturale Università degli Studi di Napoli Federico II, Naples, Italy.
onDone so far: RT- PSHA & Threshold set Uncertainty Analysis To doLead-Time Maps
Naples
Hospitals
Fire Stations
Lifelines
Factories
Railways
Highways
4 Cities
The Campanian case
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Source-to-site distance
Seismic network
Ground motion at the site
IM (i.e. PGA)
Structural/non-structural performance/loss
EDP (i.e. Maximum Interstory Drift Ratio)
Epicenter
Signal at the network stations
Site-Specific Warning by Regional Networks
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1 2 1 2| , ,..., | , ,...,| , | |
M R s s s
M R
f PGA f PGA m r f m f r s dr dm
PDF of magnitude conditioned to the measures of the seismic instruments
PDF of distance due to rapid localization method
Ordinary Attenuation relationship
Prediction of peak ground motion at the site
Real-Time Hazard Analysis for Hybrid EEWS
ν
ν
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Real-Time loss assessment
Extending the hazard approach it is possible to determine the expected losses conditioned to the measurements of the seismic network in the
case of alarming or not
Expected Loss
1. Loss probability depending on the alarming decision
2. Structural damage probability depending on
building’s seismic response
3. Seismic response probability depending
on hazard
4. Real-time hazard analysis
,L D EDP IM M R
E L l f l d g f d edp f edp im f im g dLdDd EDPd IM
Exposure Vunerability Hazard
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How to set the alarm threshold: a simple example
Let’s consider a simple school class equipped with a ringer and suppose that the students are trained to shelter under the desks when the alarm is issued.
7 m7 m6
m6
m
Desk
Lighting36 m2
What Causes Loss:
1.Structural collapse (causes death)2.Non-structural collapse (causes injury and eventually death)3.False alarm (cause panic and down-time loss)
Security action1.Sheltering below desks may reduce losses in the case of non-structural collapse
Expect
ed L
oss
[€
]
[s]
No alarm
Alarm
Optimal Alarm threshold
τ̂
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M=6.6, Site at 131km far from the network
Naples Estimation of Magnitude
Estimation of Distance
Estimation of PGA at the site
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Uncertainty Analysis
Uncertainty due to the attenuation law
Coeffi
cien
t of V
aria
tion
of th
e Es
timati
on
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Uncertainty Analysis Findings
• Uncertainty on distance is confirmed to be negligible in EEW calculations;
• Also uncertainty on magnitude, altough larger than distance, is small if compared to that of the attenuation law;
• It is important to compute the hazard analysis including the uncertainty of the attenuation, which is the most important (this allows to copute missed and false alarm rates);
• To issue the alarm it is important to assess whether the level of information it is stable. E.g., triggering more station does not change the decision of alarming or not.
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SABETTA E PUGLI ESE M=6 E R=120 km
0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
0,8
0,9
1
0 0,1 0,2 0,3 0,4 0,5 0,6 0,7
PGA [m/s2]
P[PG
A>P
GA
c]
Decisional rule
[ ]C CAlarm if P PGA PGA P
PGAc
Pc
ALARM ! Because the probability that PGA exceeds the limit value is too high
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:
:
True C
True C
MA no Alarm PGA PGA
FA Alarm PGA PGA
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•Lead-time maps, defined on a 2700 nodes grid covering the whole Campanian territory, have been computed as a function of the number of stations triggered.
•Events occurring in the area covered by the ISNet infrastructure have been consideredred (hypocentral depths in Campania are small ranging from ~ 4 to ~ 12 km).
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DESIGN MAP
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Lead-time maps for the case-study region can be superimposed to real-time risk reduction actions for specific structural systems. These security
measures can be classified according to the time required to be carried out.
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To the end of the project
• Design of a semi-active control system applied to a structure;
• The system may be tuned in real-time on the basis of a prediction of the response spectrum;
• Simulation of the system and risk assessment;
• If the EEWS lead to a reduction of the annual risk the EEWS is effective on the earhquake engineering perspective.