Probabilistic Seismic Risk Assessment for the Metropolitan ...
Probabilistic risk modelling: The case of Bogota...
Transcript of Probabilistic risk modelling: The case of Bogota...
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Probabilistic risk modelling: The case of Bogota District
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Agenda
§ Bogota District
§ Probabilistic Risk Modeling
§ Applications § Visualization § Infrastructure design § Scenarios for emergency response § Immediate damage estimation § Indicators for risk management § Land use planning § Benefit‐cost ratios § Financial exposure
2
Luis E. Yamin Omar D. Cardona Mario G. Ordaz Francis Ghesquiere
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Bogotá District
• Colombia’s capital and main economic center
• 750,000 residential buildings
• 200 hospitals and health centers
• 3,500 schools and Universities
• Population: Over 7,000,000 (High concentration of pop.)
• Exposed value US$40 Billion only building constructions + infrastructure
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Probabilistic Risk Modeling
Hazard Module
4
Exposure Module
Vulnerability Module
Risk module
Hazard
Risk
Vulnerability
x
=
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Natural Hazards
EARTHQUAKE HURRICANE INTENSE RAINFALL VOLCANIC ACTION
TSUNAMI
GROUND SHAKING LANDSLIDES
STRONG WINDS
STORM SURGE
HURRICANE RAINFALL
FLOODS
ASH FALLS
BALLISTIC EJECTIONS
PYROCLASTIC FLOWS
LAVA FLOWS
5
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0.1
1
10
100
1000
1 10 100 1000
Aceleración [cm/s²]
Per
iodo d
e Retorn
o [añ
os]
0.001
0.01
0.1
1
10
Tas
a de ex
ceden
cia [1
/año]
Hazard Probabilities
50 100 150 200 250 300 350 400 450 500 550 600 650 700 750 800 850 900
120
140
160
180
200
220
240
260
280
300
320
340
360
380
400
420
440
460
480
160
200
240
280
320
360
400
440
480
520
560
600
640
T = 100 years
T =500 years
T = 1000 years
p= 0.01
p= 0.002
p= 0.001
Scenarios For each location
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Socio-economic strata Number of floors Cadastral value
Exposure Characterization
7
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0
0.2
0.4
0.6
0.8
1
0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 3.5% 4.0% 4.5% 5.0% DISTORSIÓN DE ENTREPISO ( γ i )
DAÑO ( β |
γ i) Muros de carga de mampostería
Marco de concreto Marcos y muros de concreto Marco de concreto contraventeado Columnas y losas planas de concreto Columnas y losas planas de concreto con muros Columnas y losas planas de concreto con contraventeo Muros y losas planas de concreto Marcos de acero Marcos de acero contraventeado Marcos de acero con muros de concreto Estructura prefabricada de concreto Muros de carga de mampostería simple INDUSTRIALES
0
0.2
0.4
0.6
0.8
1
0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 3.5% 4.0% 4.5% 5.0% DISTORSIÓN DE ENTREPISO ( γ i )
DAÑO ( β |
γ i) Muros de carga de mampostería
Marco de concreto Marcos y muros de concreto Marco de concreto contraventeado Columnas y losas planas de concreto Columnas y losas planas de concreto con muros Columnas y losas planas de concreto con contraventeo Muros y losas planas de concreto Marcos de acero Marcos de acero contraventeado Marcos de acero con muros de concreto Estructura prefabricada de concreto Muros de carga de mampostería simple INDUSTRIALES
Vulnerability Functions
8
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Vulnerability Vulnerability
PROBABILISTIC RISK MODELING
Hazard Hazard Exposure Exposure
Disaster impact Analsyis Scenario or Stochastic
Physical Damage
INFRAESTRUCTURE ECONOMIC SOCIAL ENVIRONMENTAL
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Applications Derived From Bogota‘s Model
Hazard and risk visualization
Land use planning and zoning
Hazard assessment for infrastructure
design
BenefitCost analysis for retrofitting
Indicators for risk management
Damage scenarios for emergency response
Immediate damage estimation
Analysis of financial exposure
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Applications Derived From Bogota‘s Model
Hazard and risk visualization
Land use planning and zoning
Hazard assessment for infrastructure
design
BenefitCost analysis for retrofitting
Indicators for risk management
Damage scenarios for emergency response
Immediate damage estimation
Analysis of financial exposure
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Hazard and Risk Visualization System
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74.2 74.15 74.1 74.05 74
4.5
4.55
4.6
4.65
4.7
4.75
4.8
0 cm/s² 20 cm/s² 40 cm/s² 60 cm/s² 80 cm/s² 100 cm/s² 120 cm/s² 140 cm/s² 160 cm/s² 180 cm/s² 200 cm/s² 220 cm/s² 240 cm/s² 260 cm/s² 280 cm/s² 300 cm/s² 320 cm/s² 340 cm/s² 360 cm/s² 380 cm/s² 400 cm/s²
74.2 74.15 74.1 74.05 74
4.5
4.55
4.6
4.65
4.7
4.75
4.8
0 cm/s 2 cm/s 4 cm/s 6 cm/s 8 cm/s 10 cm/s 12 cm/s 14 cm/s 16 cm/s 18 cm/s 20 cm/s 22 cm/s 24 cm/s 26 cm/s 28 cm/s 30 cm/s 32 cm/s 34 cm/s 36 cm/s 38 cm/s 40 cm/s 42 cm/s 44 cm/s 46 cm/s 48 cm/s 50 cm/s
ACELERACIÓN [cm/s²]
74.2 74.15 74.1 74.05 74
4.5
4.55
4.6
4.65
4.7
4.75
4.8
0.0 cm 1.5 cm 3.0 cm 4.5 cm 6.0 cm 7.5 cm 9.0 cm 10.5 cm 12.0 cm 13.5 cm 15.0 cm 16.5 cm 18.0 cm 19.5 cm 21.0 cm 22.5 cm 24.0 cm 25.5 cm 27.0 cm 28.5 cm 30.0 cm
DESPLAZAMIENTO [cm] VELOCIDAD [cm/s]
Frontal Fault – Ms = 7.4 Tr = 500 years
Hazard Visualization – SCENARIO 1
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Flood Probabilities – Scenario 1 to 8
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Hazard Visualization – SCENARIOS
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Applications Derived From Bogota‘s Model
Hazard and risk visualization
Land use planning and zoning
Hazard assessment for infrastructure
design
BenefitCost analysis for retrofitting
Indicators for risk management
Damage scenarios for emergency response
Immediate damage estimation
Analysis of financial exposure
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Ind Descripción w F RF1 Área destruida 31
F RF2 Muertos 10
F RF3 Heridos 10
F RF4 Roturas red de acueducto 19
F RF5 Roturas red de gas 11 >> R F Riesgo Físico
F RF6 Longitud de redes eléctricas caídas 11
F RF7 Vulnerabilidad de centrales telefónicas 4
F RF8 Vulnerabilidad subestaciones eléctricas 4
Ind Descripción w >> R T = R F (1 + F) F FS1 Área de barrios marginales 18
F FS2 Tasa de mortalidad 4
F FS3 Tasa de delincuencia 4
F FS4 Índice de disparidad social 18
F FS5 Densidad de población 18
F FR1 Camas hospitalarias 6 >> F Factor de Impacto
F FR2 Recurso humano en salud 6
F FR3 Espacio público 4
F FR4 Personal de socorro 3
F FR5 Nivel de desarrollo de la localidad 9
F FR6 Operatividad en emergencias 9
Total risk Indicator at urban level
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Indicators for Risk Management
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Applications Derived From Bogota‘s Model
Hazard and risk visualization
Land use planning and zoning
Hazard assessment for infrastructure
design
BenefitCost analysis for retrofitting
Indicators for risk management
Damage scenarios for emergency response
Immediate damage estimation
Analysis of financial exposure
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Design Specifications For Infrastructure Design
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Applications Derived From Bogota‘s Model
Hazard and risk visualization
Land use planning and zoning
Hazard assessment for infrastructure
design
BenefitCost analysis for retrofitting
Indicators for risk management
Damage scenarios for emergency response
Immediate damage estimation
Analysis of financial exposure
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DAY
INJURED SCENARIO 1
NIGHT
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0%
5%
10%
15%
20%
25%
30%
A fectado s 7.97% 5.44% 22.55% 19.84% 27.67% 24.97% 11.01% 7.07% 13.31% 19.96%
P erso nas s in Trabajo 1.19% 11.49% 14.34% 3.86% 2.23%
P erso nas s in Viv ienda 0.22% 3.70% 8.74% 0.22% 9.14%
Herido s 0.30% 0.20% 1.13% 0.82% 1.49% 1.10% 0.45% 0.29% 0.44% 0.67%
Vict im as 0.17% 0.11% 0.67% 0.36% 0.91% 0.48% 0.26% 0.16% 0.17% 0.15%
Día No che Día No che D ía Noche Día No che Día No che
T = 250 T = 500 T = 1000 T = 500 T = 500
F ro ntal Co o rdillera Ocidental B enio ff Intermedia Cajita
Persons afected
Impact Analysis
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Use of Impact Scenario Analysis
Contingency and Emergency plan • Health services requirements • Location of emergency units • Security information • Debris and construction materials • Housing requirements • Food requirements • Services requirements (water, energy,etc) • Functional vulnerability (roads, emergency routes,)
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Applications Derived From Bogota‘s Model
Hazard and risk visualization
Land use planning and zoning
Hazard assessment for infrastructure
design
BenefitCost analysis for retrofitting
Indicators for risk management
Damage scenarios for emergency response
Immediate damage estimation
Analysis of financial exposure
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Bogotá Accelerograph Network (RAB) Equipment and Net Coverage
ETNA
K2
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Immediate damage estimation
Damage Distribution Calculation
Surface Response Spatial Distribution
Physical damage
Human losses
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Applications Derived From Bogota‘s Model
Hazard and risk visualization
Land use planning and zoning
Hazard assessment for infrastructure
design
BenefitCost analysis for retrofitting
Indicators for risk management
Damage scenarios for emergency response
Immediate damage estimation
Analysis of financial exposure
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LAND USE PLANNING AND ZONING
Seismic hazard map Landslides hazard map Flood hazard map
Amax Identification of main hazards
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Applications Derived From Bogota‘s Model
Hazard and risk visualization
Land use planning and zoning
Hazard assessment for infrastructure
design
BenefitCost analysis for retrofitting
Indicators for risk management
Damage scenarios for emergency response
Immediate damage estimation
Analysis of financial exposure
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RETROFFITING EXAMPLES
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50
0
50
100
150
200
250
1
Unretrofitted Retrofitted
BENEFIT‐COST RELATION, Q
R L L Q R U −
= ∑ ∞
=
− = 1 i
t i
i e L γ β
L U
L R β iR
β iU
t i R
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Pr(Q>1)=0.73
0.000
0.100
0.200
0.300
0.400
0.500
0.600
0.700
0.800
0.900
1.000
0.0 0.5 1.0 1.5 2.0
Q=(L U L R )/R
Pr(LUL
R>R
)
Building+Contents+BI Building+Contents Building
Benefit/Cost Analaysis Health Sector Infrastructure
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Salud
0
2
4
6
8
10
12
14
16
18
76.2
76.3
88.1
80.4
96.1
80.1
80.1
80.3
80.1
80.9
80.2
100
102
80.1
80.7
80.1
99.1
199
94.1
80.6
80.5
80.8
85.1
76.1
83.1
87.1
88.2
78.1
95.1
84.2
84.1
104
82.1
77.1
77.2
77.3
77.4
79.1
110
90.2
109
100
98.1
90.1
89.1
108
81.1
75.1
91.4
101
102
79.2
93.1
97.1
103
107
86.1
92.1
Administración
0
2
4
6
8
10
12
14
16
18
223.1
200.1
206.3
217.1
216.1
193.1
221.1
198.2
230.1
211.1
194.1
235.3
229.1
214.1
235.1
229.2
197.1
212.2
235.2
196.2
219.1
206.1
206.2
205.1
213.1
212.1
220.1
218.1
196.1
215.1
234.1
198.1
226.1
189.1
233.1
222.1
Health sector buildings
Administrative buildings
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Bogota DVRP – APL2 SchoolRetrofitting Program
Schools Retrofitted 20042008 : 201 Total Budget: $200 Million
BEFORE AFTER
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Applications Derived From Bogota‘s Model
Hazard and risk visualization
Land use planning and zoning
Hazard assessment for infrastructure
design
BenefitCost analysis for retrofitting
Indicators for risk management
Damage scenarios for emergency response
Immediate damage estimation
Analysis of financial exposure
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∫ ∞
− = 0
) / ( ) ( da a E da a d β ν β
Technical premium
(annual expected loss)
Technical Premium Technical Premium
$ 0
$ 1,000
$ 2,000
$ 3,000
$ 4,000
$ 5,000
$ 6,000
$ 7,000
$ 8,000
$ 9,000
Escala de Tiempo
Valor d
e Pérdida
[MDP]
![Page 38: Probabilistic risk modelling: The case of Bogota Districtsiteresources.worldbank.org/.../5848984-1237338325293/RiskModelingBogota_Francis.pdfBogota‘ s Model Hazard and risk visualization](https://reader033.fdocuments.us/reader033/viewer/2022042010/5e7204a264a1143dbd7e5b86/html5/thumbnails/38.jpg)
5%
7%
9%
11%
13%
15%
17%
0 250 500 750 1000 1250 1500
Periodo de Retorno [años]
PML[%]
Deducible 0% Deducible 3% Deducible 5%
PROBABLE MAXIMUM LOSS PML PROBABLE MAXIMUM LOSS PML
![Page 39: Probabilistic risk modelling: The case of Bogota Districtsiteresources.worldbank.org/.../5848984-1237338325293/RiskModelingBogota_Francis.pdfBogota‘ s Model Hazard and risk visualization](https://reader033.fdocuments.us/reader033/viewer/2022042010/5e7204a264a1143dbd7e5b86/html5/thumbnails/39.jpg)
Other Possible Aplications
‐ Risk feasibility of infrastructure projects ‐ Risk based design ‐ WEB applications ‐ Environmental risk analysis ‐ Climate change risk scenarios ‐ ….....
![Page 40: Probabilistic risk modelling: The case of Bogota Districtsiteresources.worldbank.org/.../5848984-1237338325293/RiskModelingBogota_Francis.pdfBogota‘ s Model Hazard and risk visualization](https://reader033.fdocuments.us/reader033/viewer/2022042010/5e7204a264a1143dbd7e5b86/html5/thumbnails/40.jpg)