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Climate model-based probabilistic wind risk assessment under future climate
Kazuyoshi Nishijima
Associate Professor of Engineering Decision Analysis
CERDA
18/05/2012 Bristol/Cabot-DPRI workshop 3 DTU Civil Engineering, Technical University of Denmark
CERDA – Areas and current focuses
Natural hazard risks Decision analysis
Climate change
• Wind hazard
• Wind vulnerability
• Flood vulnerability
• Real-time decision optimization
• Reliability in economics
• Life safety
• Assessment
• Adaptation
Structural reliability theory
• Bayesian networks
• Scaled probability integral
18/05/2012 Bristol/Cabot-DPRI workshop 13 DTU Civil Engineering, Technical University of Denmark
Question to answer
Frequency vs. Intensity
Wind-induced residential building risk increases?
Typhoon
18/05/2012 Bristol/Cabot-DPRI workshop 14 DTU Civil Engineering, Technical University of Denmark
Inputs
Hazard modeling
• AGCM simulation results within the KAKUSHIN program
• Probabilistic modeling methodology for typhoon events
Fragility modeling
• Damage report for the typhoon Songda in 2004
• Wind field simulated with JMA-NHM and JMA-RANAL/JMA-RSM
18/05/2012 Bristol/Cabot-DPRI workshop 15 DTU Civil Engineering, Technical University of Denmark
Hazard modeling
18/05/2012 Bristol/Cabot-DPRI workshop 16 DTU Civil Engineering, Technical University of Denmark
Extracted typhoons
Current climate:1979-2003 Projected future climate:2075-2099
18/05/2012 Bristol/Cabot-DPRI workshop 17 DTU Civil Engineering, Technical University of Denmark
Not enough typhoons for risk assessment…
Monte Carlo simulation with probabilistic typhoon model!
18/05/2012 Bristol/Cabot-DPRI workshop 18 DTU Civil Engineering, Technical University of Denmark
Probabilistic modeling of typhoon events
AG
CM
sim
ula
tion
results
18/05/2012 Bristol/Cabot-DPRI workshop 19 DTU Civil Engineering, Technical University of Denmark
Occurrence model
• Re-sampling
18/05/2012 Bristol/Cabot-DPRI workshop 20 DTU Civil Engineering, Technical University of Denmark
Transition model
• Temporary spatially inhomogeneous Markov model
• Translation speed
• Translation angle
• Central pressure
• Radius of maximum wind speed
Model for each 5°x 5°grid and month.
18/05/2012 Bristol/Cabot-DPRI workshop 21 DTU Civil Engineering, Technical University of Denmark
• Wind field at gradient height
Given
- Central pressure
- Translation speed/angle
- Radius of maximum wind speed
Wind speed [m/s]
Wind field model
18/05/2012 Bristol/Cabot-DPRI workshop 22 DTU Civil Engineering, Technical University of Denmark
• Empirical relation
Surface friction model
Considering
• Topography
• Land use
,u r
Surface wind speed
18/05/2012 Bristol/Cabot-DPRI workshop 23 DTU Civil Engineering, Technical University of Denmark
Simulated surface wind speed
• Maximum wind speeds during a typhoon event
18/05/2012 Bristol/Cabot-DPRI workshop 24 DTU Civil Engineering, Technical University of Denmark
Monte Carlo simulation
AGCM simulation
25 years
Monte Carlo simulation
25000 times of 1-year
x1000!!
18/05/2012 Bristol/Cabot-DPRI workshop 25 DTU Civil Engineering, Technical University of Denmark
Fragility modeling
18/05/2012 Bristol/Cabot-DPRI workshop 26 DTU Civil Engineering, Technical University of Denmark
Damage ratio
(Degree of damage is not differentiated.)
Reported damage ratio of residential buildings
Kyushu island in Japan
0 50 100 km
Tomokiyo et al. (2009)
(# of damaged buildings)
(# of total buildings)
18/05/2012 Bristol/Cabot-DPRI workshop 27 DTU Civil Engineering, Technical University of Denmark
Computation of wind field by Songda
• Japanese 25-year Reanalysis (JRA-25)
• JMA Non Hydrostatic Mesoscale Model (JMA-NHM)
Large scale 5km mesh Small scale 1km mesh
18/05/2012 Bristol/Cabot-DPRI workshop 28 DTU Civil Engineering, Technical University of Denmark
Computed wind field and pressure fields
[m/s]
50
25
0
[hPa]
Wind speed/direction Sea level pressure
18/05/2012 Bristol/Cabot-DPRI workshop 29 DTU Civil Engineering, Technical University of Denmark
Combining these
18/05/2012 Bristol/Cabot-DPRI workshop 30 DTU Civil Engineering, Technical University of Denmark
Fragility model
18/05/2012 Bristol/Cabot-DPRI workshop 31 DTU Civil Engineering, Technical University of Denmark
Hazard assessment
1
0.86
1.04
1
0.95
1.13
Decrease
Increase
Decrease
Increase
Mean value 98-quantile
(50-year wind)
• Change of annual maximum wind speed statistics
18/05/2012 Bristol/Cabot-DPRI workshop 32 DTU Civil Engineering, Technical University of Denmark
The answer
(Projected future climate)
(Current climate) = 0.87*
* Simple average over 2249 locations in Japan
18/05/2012 Bristol/Cabot-DPRI workshop 33 DTU Civil Engineering, Technical University of Denmark
Are you happy?
18/05/2012 Bristol/Cabot-DPRI workshop 34 DTU Civil Engineering, Technical University of Denmark
Research agenda
(1) Improved fragility/vulnerability model
Design wind speed: around 30-35m/s in main Japanese islands
18/05/2012 Bristol/Cabot-DPRI workshop 35 DTU Civil Engineering, Technical University of Denmark
Research agenda
• A failure mode
Debris
Roofing
18/05/2012 Bristol/Cabot-DPRI workshop 36 DTU Civil Engineering, Technical University of Denmark
Research agenda
• Hybrid (statistical + engineering) approach
18/05/2012 Bristol/Cabot-DPRI workshop 37 DTU Civil Engineering, Technical University of Denmark
Research agenda
(1) Improved fragility/vulnerability model
(2) Improved wind field model