1
PROJECTS IN CENTRAL AMERICA
TOWARDS SEISMIC RISK
MITIGATION
COOPERATION OF THE
UNIVERSIDAD POLITECNICA DE MADRID
M ª BELÉN BENITO
Cooperation with Central America and
Caribe
1999
2001
2006
2007
2010
2011
SEISMIC HAZARD IN
GUATEMALA
POST-EVENT MISION
RESIS II PROJECT
(NORAD)
WORKSHOP
SEISMIC HAZARD
Book Amenaza Sísmica en
América Central
COOPERATION Haití, República Dominicana, Puerto Rico
.
• 1999 Seismic Hazard in Guatemala (INSIVUMEH)
• 2001 – up date Studies in El Salvador
Analysis of Seismicity inf 2001
Iinteraction between subduction (13 January) and volvcanic chain events (13 february)
Identification and analysis of El Salvador zone fault (ESZF) with paleoseismic and geodetic data
Landslides seismic hazard
• 2008 Regional study of seismic Hazard in Central America
• 2010 Seismic risk preliminar studies in the capitals of CA
Summary of the cooperation activities
Strong motion analysis with data of
2001
Volcanic chain: zones 3, 4 y 5.
Chixoy-Polochic-Motagua: zones 6, 7 y 8
Shallow subduction: zone 1
intermediate-depth subduction: zonas 11 y 12
Petén: zonas 9 y 10
Honduras depresion: zona 2
MAPA DE SISMICIDAD Y ZONAS SISMOGENÉTICAS EN GUATEMALA
Seismogenic zones defined by Ligorría (1995) Contibution of Seismic
scenarious
1. Seismic hazard in Guatemala city
Comparison of response spectra due to different scenarious with the ones of the seismic codeStarting of cooperation in El Salvador
Seismicity of El Salvador in 2001
• 13 JAnuary 2001: Subducción (M=7.8 Agencia SPDE)
• 13 February 2001: volcanic chain (M=6.5 Agencia SPDE)
• 17 February 2001: volcanic chain (M=5.1 Agencia WSAL)
EL SALVADOR 1. Analysis of the Seismic Crisis in 2001 Could be interaction between subduction and crustal events ?
13 - Enero
M = 7.7
Study of the seismicity by windows of 1 week
13
1
13 Jnuary
To
12 February
13 -febrero
M = 6.6
28 – febrero
M = 5.6
17 - febrero
M = 5.1
Seismicity from 13 February-13 March
16 - marzo
M = 5.6
10 - abril
M = 4.9
10 - abril
M = 4.4
8 y 9 mayo
M = 4.6, 4.6 y 4.7
12 abril- 9 Mayo
1 ENERO - 15 M ARZO
0 5 0 1 0 0 1 5 0 2 0 0 2 5 0 3 0 0
1-ene4-ene7-ene10-ene 13-ene16-ene19-ene22-ene25-ene 28-ene 31-ene3-f eb6-f eb9-f eb12-f eb15-f eb18-f eb21-f eb24-f eb27-f eb2-mar5-mar8-mar11-mar14-mar Fe cha
Nº Eve ntos
SubducciónCadena Volcánica
13 - Enero
13
-Febrero 28
-Febrero
Histograms of number events vs time
Temporal evolution of seismicity
16 M ARZO - 31 M AYO
0 50 1 00 1 50 2 00 2 50 3 00
16-mar 19-mar 22-mar 25-mar 28-mar 31-mar3-abr6-abr9-abr12-abr15-abr 18-abr21-abr24-abr 27-abr30-abr3-may6-may9-may 12-may 15-may 18-may 21-may 24-may 27-may 30-may Fe cha
Nº Eve ntos
2. Study of the Coulomb Failure Stress transfer after the 13 january event
Map 14 km depth Cross-section AA’
The focus of the 13 February is located in a loaded zone of 0.7 bar after the january event
REd:
Maximun stress concentration (Loaded
zones)
Blue
Unloaded zones The 13 february earthquake was located in a loaded zone after 13 january
event
Results of CFS modelization
.
A. 1982 and 1986 events B. Joint model of 1982 and 2001 produced a loaded zone
which broke with the 13 February event . C. Modelo generado unicamente por el sismo
del 13 de febrero
Joint modelization of CFS in El Salvador.
Would produce a loaded zone at E Lempa river
A new rupture in the subduction zone (eastern
part)
A big fault zone is identified ZFES
SR was broken by the february 13 th and aftersocks
3. Seismotectonic regional interpretation
Source of important earthquakes of volcanic chain
4.STUDY OF STRONG GROUN MOTION
FROM RECORDS OF 2001
Figura 2.Historias temporales de aceleración, velocidad y desplazamiento derivadas del procesamiento de los registros para el sismo del 13 de Enero
de 2001, con indicación de los valores pico para cada uno de los parámetros 0 20 40 60 80
-800 -400 0 400 800 -800 -400 0 400 800 -800 -400 0 400 800 -800 -400 0 400 800 -800 -400 0 400 800 -800 -400 0 400 800 -800 -400 0 400 800 -800 -400 0 400 800
Aceleración (cm/s2)
(13/01/2001) Mw = 7,7 COMP. NS
Tiempo (s) -800 -400 0 400 800
0 20 40 60 80 -40 0 40 -40 0 40 -40 0 40 -40 0 40 -40 0 40 -40 0 40 -40 0 40 -40 0 40 -40 0 40
0 20 40 60 80 -20 -10 0 10 20 20 10 0 -10 -20 -20 -10 0 10 20 -20 -10 0 10 20 -20 -10 0 10 20 -20 -100 10 20 -20 -100 10 20 -20 -100 10 20 -20 -100 10 20 Velocidad (cm/s) Desplazamiento (cm)
BRLN USPN ULLB UPAN CSBR ESJO HSRF UTON UARM 449.7 568.8 1090.7 173.0 153.7 294.9 485.6 257.7 588.7 21.3 37.5 53.2 23.6 3.7 7.0 9.2 4.6 25.2 6.2 7.1 25.4 57.0 15.6 23.1 4.9 49.6 13.9 -800 -4000 400 800 -40 0 40 -20 -100 10 20 3.3 12.3 255.3 HSTR
Figura 2.Historias temporales de aceleración, velocidad y desplazamiento derivadas del procesamiento de los registros para el sismo del 13 de Enero
de 2001, con indicación de los valores pico para cada uno de los parámetros 0 20 40 60 80
-800 -400 0 400 800 -800 -400 0 400 800 -800 -400 0 400 800 -800 -400 0 400 800 -800 -400 0 400 800 -800 -400 0 400 800 -800 -400 0 400 800 -800 -400 0 400 800
Aceleración (cm/s2)
(13/01/2001) Mw = 7,7 COMP. NS
Tiempo (s) -800 -400 0 400 800
0 20 40 60 80 -40 0 40 -40 0 40 -40 0 40 -40 0 40 -40 0 40 -40 0 40 -40 0 40 -40 0 40 -40 0 40
0 20 40 60 80 -20 -10 0 10 20 20 10 0 -10 -20 -20 -10 0 10 20 -20 -10 0 10 20 -20 -10 0 10 20 -20 -100 10 20 -20 -100 10 20 -20 -100 10 20 -20 -100 10 20 Velocidad (cm/s) Desplazamiento (cm)
BRLN USPN ULLB UPAN CSBR ESJO HSRF UTON UARM 449.7 568.8 1090.7 173.0 153.7 294.9 485.6 257.7 588.7 21.3 37.5 53.2 23.6 3.7 7.0 9.2 4.6 25.2 6.2 7.1 25.4 57.0 15.6 23.1 4.9 49.6 13.9 -800 -4000 400 800 -40 0 40 -20 -100 10 20 3.3 12.3 255.3 HSTR
PGA ma ≈1 g
GROUND MOTION MODELS FOR SUBDUCTION AND VOLCANIC CHAIN INDEPENDENTLY
PGA y SA (T) as a function of:
Magnitude M
Distance R
soil conditions S
From records of subduction and crustal events
( Cepeda et al, 2004)
Deevelopment of a methodology for estimation of landslide hazard based in logistid Regresion and neuronal networks ( SIG)
S
T
H
H HAZARD
S SUSCEPTIBILITY
T TRIGGERING
GENERATION OF A GELOGIC SIG
DIGITALIZATION AND GEORREFERENZATION OF THE GEOLOGIC MAP
(available only in analogic version)
LITOLOGIA PRECIPITACION
USOS DEL SUELO
EFECTO LOCAL
SUSCEPTIBILIDAD
(SRL)
DETONANTE (TD)
MAPA DETERMINISTA: ESCENARIO
13 ENERO DE 2001
PELIGROSIDAD
DETERMINISTA
(HD1)
ALTITUD
ORIENTACIÓN
RUGOSIDAD PENDIENTE
REGRESIÓN LOGÍSTICA (RL)
Y REDES NEURONALES
(RNA)
ACELERACIÓN Determinista (suelo firme)
DETONANTE (TP)
MAPA PROBABILISTA DE PERIODO DE RETORNO 475
AÑOS
PELIGROSIDAD
PROBABILISTA (HP1)
ACELERACIÓN Probabilista (suelo firme)
EFECTO LOCAL
SUSCEPTIBILIDAD
(SRNA)
PELIGROSIDAD
PROBABILISTA (HP2)
PELIGROSIDAD
DETERMINISTA
(HD2)
Scheme of the Method for estimation of susceptibility, triggering fator, and landeslide hazard
SUSCEPTIBILIDAD
DETONANTE
PELIGROSIDAD
Some results
Modelo de redes neuronales
Recently we started cooperation in Costa Rica
Paleoseismicity and GPS control in Central Valey faults
Seismic Hazard in Central
America
2007
PROJECT RESIS II
A new evaluation of Seismic Hazard for
the Central America Region
Mª Belén Benito,Wilfredo Rojas, Alvaro Climent, Enrique Molina,
Griselda Marroquin, EmilioTalavera, José Jorge Escobar, Eduardo Camacho, Conrad Lindholm
Remarkable Aspects
Regional study
Zonation for the three seismic scenarious: Crustal
events, subduction interplate and inslab.
Selection and calibration of strong motion models
with actual and l ocal data for each scenario.
First seismic hazard analysis developed for the whole
Central America region in the decade 2000
Participation of seismologist from all the CA Countries
Use of updata information of seismological and strong
motion Data Bank
Ejecution of the work
(PSHA ): PROBABILISTIC SEISMIC HAZARD ASSESSMENTAceleració n
Cálculo de la Peligrosidad
Catálogo de Proyecto
. . .
. . .. . .
. .
H2
DISTRIBUCIÓN DE
RESULTADOS
Definición de
fuentes
sísmicas
Sismicidad de cada fuente
M
log
N
Distanci a
A
celer
ación
M1 M2 M3
M1 > M2 > M3
Modelo(‐s) de atenuación
P
(a>A
)
1
2
3 H1
H3
H
total
ÁRBOL LÓGICO
CRUSTAL+
INTERFACE+INSLAB [¼]
GROUND MOTION MODEL
QUANTIFICATION OF
EPISTEMIC UNCERTAINTY Method
Methodology PSHA
( Probabilistisc Seismic Hazard Assessment)
Logic tree with a node for consider ing the uncertainty
inherent to attenuation model
Deaggregation: Determinaction of
couple (M, R) with highest contribution to seismic hazard with a fixed return period.
0 75
150
225
300
4.5
55.5 66.5
77.5 80.0E+00
2.0E-05 4.0E-05 6.0E-05 8.0E-05 1.0E-04 1.2E-04 %Prob
R (km)
Mw Guatemala. PGA, PR 500 años
4.5 4.75 5 5.25 5.5 5.75 6 6.25 6.5 6.75 7 7.25 7.5 7.75 8
Mw
a)
Definition of control earthquakes for RP= 500 , 1000 and 2500 years.
Node 1
Node 2
branches
Set of results
±
Zonification Atenuación
Phases of the study
study of seismotectonic contex Preparation of inputs:
1. Confection of a Rgional seismic catalogue (standarizarizaed to Mw) .
2. Identification of seismogenizc Zones for thre tectonic regimens
3. Selection of ground motion models and calibration with local real data
Confection of a logic tree and hazard estimation
Representation of results: maps, spectra and deaggregation analysis
Subduction zone
Coco’s Caribe plates Earthquakes with high magnitude and epicenters
offshore
Local faults aligned with the volcanic chain Earthquakes with moderate magnitude, surface depth and epicenters near of population centers. More damaging earth.
Noth American Caribe system faults:
TECTONIC
Historical Seismicity
Matina Chimaltenan
go
Zona de Fractura Golfo Papaga yo
Limón
Focal Mechanism
Seismic Catalogue
Earthquakes since 1522 until Dec. 2007
Mw>= 3.5
Process carried out:
Depuration:
Standarization t to Mw
Filtering of fore and aftershocks
Complitness analysis
:
Mw>= 3.5
s
Regional Zonification (national detail)
•Crustal zones
• surface seismicity, h < 25 km
•Subduction interplate
Intermediate seismicity
25 < h < 60 km
•Subduction inslab
•Depth seismicity, h > 60 km
Seismic parameters - Gutenberg-Richter models
Zonas Corticales Costa Rica
-2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2
3.5 4.5 5.5 6.5 7.5Mw
Log
(N
)
C10 C2 C3 C4-P 1 C5 C6 C7 C9
Zonas Corticales Honduras y Nicaragua
-2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2
3.5 4.5 5.5 6.5 7.5 Mw
Lo
g
(N
)
N1 N12 N13-14 N2-C1 N3 N4 N6-N7 N8 N9-10 H2 H3-N11
Zonas Corticales Guatem ala
-2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5
3.5 4.5 5.5 6.5 7.5Mw
Log
(N
)
G1 G2-S2 G3 G4 G5-S5-H1 G6 G7 G8
Zonas Corticales Panam á y El Salvador
-2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5
3.5 4.5 5.5 6.5 7.5Mw
L
og(
N
)
P2 P3 P4 P5 P6 P7 P8-C8 S1 S3 S4-N5
Zonas de Subducción Interfase
-2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5
3.5 4.5 5.5 6.5 7.5Mw
Lo
g(
N
)
Csi11
Csi12
Gsi9
Nsi15
Nsi16
Psi10
Psi9
Ssi5
Zonas de Subducción Intraplaca
-2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2
3.5 44.5 55.5 66.5 77.5 Mw
Lo
g(
N
)
Csp14
Csp15
Csp16
Gsp10 Nsp17
Psp11
Ssp6
Crustal
Interface
Values b between 0.6 and
1 in interface
Distribution of b- values
•Values b between 1 and
1.3 pre‐arc zones,
tensional efforts
•values b between 0.7
and 0.9 in volcanic chain, distensive regime.
inslab, normal
ruptures, b between 0.6 and 1.
Attenuation
Identification of the suitable GM models
model Data Base Component used (PGA, Sa) sources
Dist. (km) Mw
Youngs et al.(1997)
(YOUN97) Mundial Media
geométrica Interplaca
Intraplaca 500 5,0 ‐8.2 Atkinson y Boore 2003
(AYB03) Mundial Las dos
horizontals
(Aleatoria) Interplaca
Intraplaca 10‐400 5,0 ‐8,3 Garcia et al.(2005)
(GAR05) México Media
cuadrática Intraplaca 4 ‐400 5,2 – 7,4 Cepeda et al.(2004)
(CEP04) El Salvador Aleatoria
Media
geométrica
Intraplaca Corteza
Superficial 10 – 400 0‐100
5,0 – 8,3 5,1 – 7,2 Climent et al.1994
(CLI94)
América Central
and México Mayor de las
horizontales
Interplaca Corteza
superficial 5 ‐400 4,0 ‐8,0 Zhao et al.(2006)
(ZH06) Japón Media
geométrica Interplaca
Intraplaca Corteza
superficial
10‐300 5,0 – 8,2 Spudich et al.(1999)
(SEA99) Mundial Media
geométrica Corteza superficial 0 ‐100 5,1 – 7,2 Schmidt et al.(1997)
(SCH97)
Mayor de las
horizontales Corteza superficial 6 ‐200 3,7 – 7,6
Youngs et al., 1997
-3 -2 -1 0 1 2 3
0 100 200 300 400 500
Distancia (km)
Re
s
id
uos
Atkinson y Boore, 2003
-3 -2 -1 0 1 2 3
0 100 200 300 400 500
Distancia (km)
Re
s
id
uos
Climent et al., 1994
-3 -2 -1 0 1 2 3
0 100 200 300 400 500
Distancia (km)
Re
s
idu
os
Zhao et al., 2006
-3 -2 -1 0 1 2 3
0 100 200 300 400 500
Distancia (km) R e s iduo s
Calibration of models with local data Residual analysis (r = Ln GM* - Ln GM)
Selected attenuation models : Crustal, interface, inslab
0.001 0.01 0.1 1
1 10 100 1000
Distancia (km) PG A ( g )
Zhao et al., 2006
Climent et al., 1994
PGA
0.001 0.01 0.1 1
10 100 1000
Distancia (km) PG A ( g ) Youngs et al., 1997
0.001 0.01 0.1 1 10
10 100 1000
Distancia (km) PG A ( g )
Zhao et al., 2006
Youngs et al., 1997
PGA
Mw 7.0
Mw 6.0
Mw 5.0
Crustal: Climent et al (1994)
Zhao et al, (2006)
Subduction interface:
Youngs et al (1997 )
Subduction inslab:
Youngs et al
Zhao et al (2006)
Hazard Estimation
Software CRISIS 2007 (Ordaz et al, 2007)
Estimation in a network with points separated 0.1 º longitude and latitude in
terms of PGA and SA for T= 0.1, 0.2, 0.5, 1 y 2 s
Logic tree with a node for attenuation models
Every branch is a combination of models:
crustal, + interface + inslab
Seismic Hazard maps for PR= 500, 1000 and 2500 years
In the capitals of the 6 CA countrires:
Hazard curves
UHS
Deaggregation for target motions given by PGA SA (0.2) and SA (1s)
---- control eartquakes
Hazard maps PR= 500 years
PGA max =600 gal Panama Fracture
500 gal in volcanic chain
SA (0.2) max =1300 gal South Guatemala
SA (1) max =300 gal Costal zones
Hazard Maps RP=1000 years
PGA max =700 gal Panama Fracture, South Guatemala and volcanic
chain
SA (0.2) max =1600 gal Panama Fracture, South Guatemala and volcanic
chain
SA (1) max =400 gal Panama Fracture, South Guatemala and volcanic
chain
HAZARD MAPS PR=2500 years
PGA max = 850 gal
South Guatemala SA (0.2) max = 2000 gal
South Guatemala
SA (1) max = 500 gal
South Guatemala
Seismic hazard curves in the capitals
GUATEM ALA 1,E-05 1,E-04 1,E-03 1,E-02 1,E-01 1,E+00 1,E+01 1,E+02
10 100 1000 10000
Aceleración (gal) P ro b a b il ida d A n u a l E xced en ci a PGA SA(0.1s) SA(0.2s) SA(0.5s) SA(1.0s) SA(2.0s) SAN SALVADOR 1,E-05 1,E-04 1,E-03 1,E-02 1,E-01 1,E+00 1,E+01 1,E+02
10 100 1000 10000
Aceleración (gal) P ro ba b il ida d A n ua l E x ced en c ia PGA SA(0.1s ) SA(0.2s ) SA(0.5s ) SA(1.0s ) SA(2.0s ) M ANAGUA 1,E-05 1,E-04 1,E-03 1,E-02 1,E-01 1,E+00 1,E+01 1,E+02
10 100 1000 10000
Ace le ración (gal2)
P rob abi li da d A n ual E x c edenci a PGA SA(0.1s) SA(0.2s) SA(0.5s) SA(1.0s) SA(2.0s) SAN JOSÉ 1,E-05 1,E-04 1,E-03 1,E-02 1,E-01 1,E+00 1,E+01 1,E+02
10 100 1000 10000
Ace leración (gal)
P ro b a b ilid a d A n u a l Exced e n ci a PGA SA(0.1s) SA(0.2s) SA(0.5s) SA(1.0s) SA(2.0s) TEGUCIGALPA 1,E-05 1,E-04 1,E-03 1,E-02 1,E-01 1,E+00 1,E+01 1,E+02
10 100 1000 10000
Aceleración (gal) P ro b ab ilid ad A n u al E xced en ci a PGA SA(0.1s ) SA(0.2s ) SA(0.5s ) SA(1.0s ) SA(2.0s ) PANAMÁ 1,E-05 1,E-04 1,E-03 1,E-02 1,E-01 1,E+00 1,E+01 1,E+02
10 100 1000 10000
Ace leración (gal)
P ro b ab il id ad A n u al E xced en ci a PGA SA(0.1s) SA(0.2s) SA(0.5s) SA(1.0s) SA(2.0s)
Uniform Hazard Spectra (UHS).
The results are beingn used for calibrating the spectra of the building codes
Comparación del espectro deducido en nuestro estudio para San José de Costa Rica ( en azul) con el propuesto para la misma localidad y suelo por el código sísmico ( en rojo)del país. el
espectro del codigo resulta conservador
Comparación de espectros: modificacion propuesta REP 2004 y UHS de RESIS II
0 0,1 0,2 0,3 0,4 0,5 0,6
00,2 0,4 0,6 0,811,2 1,4 1,6 1,822,2 2,4 2,6 2,83
Periodo (s)
Sa
(g
) revision REP2004 UHS RESIS II
Comparación entre el espectro de amenaza uniforme generado en este trabajo (UHS) para periodo de retorno de 500 años y el propuesto para la futura revisión del Código Estructural
Panameño (REP2004).
Panamá
Costa Rica
Deaggregation : couple (m,R) with
highest contribution to the seismic
hazard
0 75 150 225 300 4.5 5 5.5 6 6.5
77.5
8 0.0E+00 2.0E-05 4.0E-05 6.0E-05 8.0E-05 1.0E-04 1.2E-04 %Prob R (km) Mw Guatemala. PGA, PR 500 años
4.5 4.75 5 5.25 5.5 5.75 6 6.25 6.5 6.75 7 7.25 7.5 7.75 8 Mw a) 0 75 150 225 300 4.
5 55.5
66.5 77.5
8 0.0E+00 1.0E-05 2.0E-05 3.0E-05 4.0E-05 5.0E-05 6.0E-05 7.0E-05 8.0E-05 9.0E-05 %Prob R (km) Mw San Salvador. PGA, PR 500 años
4.5 4.75 5 5.25 5.5 5.75 6 6.25 6.5 6.75 7 7.25 7.5 7.75 8 Mw a) 0 75 150 225 300 4.
555.5 66.5
77.5
8 0.0E+00 2.0E-05 4.0E-05 6.0E-05 8.0E-05 1.0E-04 1.2E-04 1.4E-04 1.6E-04 %Prob R (km) Mw Managua. PGA, PR 500 años
4.5 4.75 5 5.25 5.5 5.75 6 6.25 6.5 6.75 7 7.25 7.5 7.75 8 Mw a)
Desagregation
0 75 150 225 300 4.5 55.5 6 6.5
77.5
8 0.0E+00 2.0E-05 4.0E-05 6.0E-05 8.0E-05 1.0E-04 1.2E-04 %Prob R (km) Mw San José. PGA, PR 500 años
4.5 4.75 5 5.25 5.5 5.75 6 6.25 6.5 6.75 7 7.25 7.5 7.75 8 Mw a) 0 75 150 225 300 4.
5 5 5.5 6 6.5
77.5
8 0.0E+00 1.0E-05 2.0E-05 3.0E-05 4.0E-05 5.0E-05 6.0E-05 7.0E-05 %Prob R (km) Mw Tegucigalpa. PGA, PR 500 años
4.5 4.75 5 5.25 5.5 5.75 6 6.25 6.5 6.75 7 7.25 7.5 7.75 8 Mw a) 0 75 150 225 300 4.
5 5 5.5 6 6.5
77.5
8 0.0E+00 1.0E-05 2.0E-05 3.0E-05 4.0E-05 5.0E-05 6.0E-05 %Prob R (km) Mw Panamá. PGA, PR 500 años
Results (I)
For all return periods the highest values of PGA are predicted in Panamá Fracture zone, South Guatemala and certain zones of volcanic chain.
Maximun PGA :
RP = 500 years, 500 gal RP=1000 years, 700 gal RP = 2500 years, 850 gal
Similar morphology for maps of SA (0.2 s) with maximun values RP = 500 años, 1300 gal
RP=1000 años, 1600 gal R P= 2500 años, 2000 gal
Maps of SA (1 s) with maximun in coastal zones, due to the highest
influence of the subduction events.
Specific results in the capitals:
Highest hazard in Guatemala City and San Salvador, followed by San José and Managua and minor hazard in Panamá and Tegucigalpa.
Desaggregation
Control earthquakes are identified in the capitals :
(Target motion given by PGA and RP= 500 y)
In general, a near shock is dominant (M 6-6.5; R 15 km) identified with a volcanic chain event. Exception of Tegucigalpa where a far event is dominant (M 6.7, R 210 km) and Panamá, where neither clear event is found .
In Guatemala City, San Salvador and Managua a second long-distance earthquake M ~ 7 is found with important contribution, identified with a subduction event.
Results (II)
Seismic Risk Studies in the capitals
Guatemala City, San Salvador,
Tegucigalpa, San José, Managua and
Panamá city
=
DAmage
+ economic loss
$
+ Human lossRisk
Seismic Risk Studies in the
6 capitals of CA
Hazard
Intensity
Edificios – Población -Economía Class A
Class B
Class C 100%
50%
0%
5 6 7 8 9
Mean Damage
Factor
Vulnerability
Class D
Classification of structures (e.g., EMS-1998; Grünthal, 1998)
Vulnerability assessment
Cuevas de Almanzora (AL) Obejo (CO)
Sevilla
Cálculo analítico de
probabilidad de daño
Representation of the quantification of damages
and definition of damage states according to the fragility curves (HAZUS, 1999).
Application of Fragility Curves
Tegucigalpa
The earthquake's epicenter is located on the fault in blue
Focal depth=6 km; Mw=6.5; Fault’s orientation = 60°from the north;
Dip angle=90º.
- Epicenter 1: located at CDNP (inslab), with an inverse focal mechanism
- Epicenter 2: located at the Pedro Miguel fault, with strike-slip focal mechanism
Panamá
Probabilities of damage for concrete block buildings (Cbri) with a height of 1 – 3
stores in one geounit. block buildings (Cbri) with a height of 1 Probabilities of damage for concrete
– 3 stores in one geounit.
Probabilities of damage for brick block buildings (CLu) with a height of 1 – 3
The earthquake epicenter is located at 13,67°N; 89,19°O, with a depht of 60 km, and a magnitude 5.4MS(USGS).
5.7MW, based on the earthquake of
October 1986, ocurred in San Salvador, with an intensity of VIII – IX.
TRAINING IN SEISMIC HAZARD AND SEISMIC RISK
1) SEISMIC HAZARD
(FEBRUARY 2008)
2 WORKSHOPS (1month) WITH PARTICIPATION OF SEISMOLOGIST AND ENGINEERING FROM THE 6 CA COUNTRIES
2) SEISMIC RISK
(FEBRUARY 2010)
Next workshop in November 2011
Transference and
dissemination of results
All the results have been transfered to local institutions
Main results were be published in books and scientific journals
Ongoing research
Now, we want to give a new step…..
We have adopted a zoning model
Now, we want to give a new step…..
Some “Top questions” to be solved:
1. How we can integrate the information of faults (GPS data and paleoseismic data) in PSHA ?
2. If the triggering process between different sources are confirmed
3. How we can take into account the zones with seismic gap or coupling zone ?
4. What can we do with the slow earthquakes?
More questions…..
Latest earthquakes evidence that the Ground motion near to the rupture fault increases strongly
Recorded values are much highest that the ones predicted by the GMPE’s
Impotant implications in seismic design, including the building codes
Should we considerd a “Source factor”
in a similar way to the “Soil coefficient”?
The case of Lorca, May 11 th 2011, M 5
PGA = 0.37 g, Rep= 3 km in a site where the Building code gives a value of 0.12 g
The GM decreases very quicly out of the rupture plane
Response spectra of the BC is exceedend by three times
Aquila main shock Mw=6.3
1.E-03 1.E-02 1.E-01 1.E+00
0 1 10 100 1000
Rjb dist (km)
P
G
A
- la
rg
e
r
h
o
riz
c
o
mp
(g
)
RAN 55 S.M. ITA-08 ITA-08 +sigma ITA08 -sigma Bommer et al '07 Sa-Pu '96 (Rjb)
The case of L’Aquila, 2009 earthquake, M 6.3
Valores registrados de PGA en función de la
distancia R jb comparados con los
predichos por algunos modelos de
predicción del movimiento
Las
0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6
0.0 0.5 1.0 1.5 2.0 2.5 3.0
T(sec)
SA
(g)
NTC-08 475 yrs Soil=A NTC-08 475 yrs Soil=B NTC-08 475 yrs Soil=C Norm. 1996 2a categ. (4 dutt 1.5 s.l.) AQg EW soil=A AQv EW soil=B AQk EW soil=B NTC-08 2475 yrs Soil=B
Comparación con Norma Italiana para TR= 475 (10 % prob excedencia en 50 años) y 2475 años (10 % prob excedencia en 250
años)
Then…
We need to implement new methods in order to optimize the latest researches with 3 types of data:
Geodetic
Paleoseismic
Accelerometric
Important:
To know the contribution of different seismic scenarious in the hazard Influence in differnt frequency ranges and different return periods Iimplications in seismic regulation of different
typologies
SISMOCAES PROJECT:
SEISMIC HAZARD STUDIES INCLUDING FAULT MODELIZATIONS
Liderados por un grupo de Tectónica Activa y Paleosismicidad
del Departamento de Geodinámica de la Universidad
Complutense de Madrid y por el grupo de Ingeniería Sísmica de la Universidad Politécnica de Madrid.
SISMOCAES
S1. GEOTACTICA
S2. ASPERIDES
Ministerio de Ciencia e Innovación Plan Nacional I+D+I (2008-2011)
TOWARDS THE FUTURE….
1. GLOBAL OBJETIVE
IMPROVING THE SEISMIC HAZARD STUDIES INCLUDING
RESULTS OF PALEOSEISMIC AND GEODETIC DATA , AS WELL AS CFS MODELIZATIONS
Identification of the El Salvador
Fault Zone (ESFZ)
Antecedents: Previous results
Martínez‐Díaz, Álvarez‐Gómez, Benito (2004) Geology
Previous results
Paleoseismic analysis of ESFZ:
characterization of pre‐
historical behaviour of the ESFZ
Study of the current
deformation in ESFZ from GPS
data Study of the seismic cycle of the ESFZ, a major tectonic structures in the region and possibly the structure which is accommodating most of the motion parallel to the subduction zone
To improve the evaluation of seismic hazard in this area
Benito et al, 2010
Previous results RESIS II
NEW GEODETIC AND PALEOSEISMIC DATA
PREVIOUS RESULTS
SENSIBILITY ANALYSIS IN THE
RESULTS
INFLUENCE OF FAULTS MODELIZATION IN SEISMIC HAZARD
HIBRID MODELS ZONES + FAULTS
METHOD AND WORK PLANNING
PRIORITY ZONES
MAP OF MAIN ACTIVE FAULTS IN CA
IDENTIFICATION OF LOADED ZONES WHERE THE PROBABILITY OF NEW EVENTS IS
INCREASING
CFS MAP AND GPS NO POISSON
MODELS MODELS OF SEISMIC HAZARD WITH FAULTS
CHARACTERISTIC MODEL (MEMORY IN
FAULTS)
QUANTIFICATION OF THE CFS LOAD IN THE HAZARD ?
METHOD AND WORK PLANNING
Application to southern Spain
ESTUDIOS DE RIESGO SISMICO A NIVEL MUNICIPAL
NUEVO ESTUDIO DE PELIGROSIDAD
IDENTIFICACIÓN DE ZONAS DE MAYOR INTERÉS
INTEGRACIÓN DE DATOS:
1. Gathering of information and actualization of Data Banks
2. Modelization of the main actives faults:
Motagua, Zona de Falla de El Salvador, Fallas del Valle Central de Costa Rica y Cinturón Deformado de Panamá
3. Re-evaluation of Seismic Hazard in CA, sensibility analysis in the Hazard results and quantification of uncertainties
4. Integration of results in a SIG e identification of more hazardous zones (confluence of hazard factors)
5. Develop of risk analysis in priority zones
Activities to be carried out:
INSIVUMEH (Guatemala)
SNET (EL Salvador)
INETER (Nicaragua)
Universidad de Costa Rica
Universidad de Panamá Universidad de Honduras
SEISMIC WORKING GROUP
Centro para la Prevención de Desastres de América Central
ICE