Natural Hazard Modeling - PowerPoint PPT Presentation

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Natural Hazard Modeling

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Used for assessing risks (likelihood and severity) ... Contents damageability. Ornamentation. Construction quality. Fatigue/maintenance... – PowerPoint PPT presentation

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Title: Natural Hazard Modeling


1
Natural Hazard Modeling
  • Techniques for Measuring Earthquake, Wind and
    Other Risks

2
What is Computer-Based Natural-Hazard Modeling?
  • Knowledge-based computer models
  • Used for assessing risks (likelihood and
    severity)
  • Best suited for complex exposures like
    earthquake, hurricane, flood, tornado, pandemic,
    terrorism...

3
How Modeling is Used
  • Estimating facility equipment damage
  • Estimating downtime
  • Estimating injuries
  • Analyzing regional exposures

4
Overview of the Process
  • On-site data collection
  • Computer modeling
  • Choose EQ scenarios
  • Estimate shaking intensity
  • Calculate damage, downtime, etc
  • Data analysis and reporting

5
On-Site Data Collection
  • Primary
  • Construction type
  • Year
  • Height
  • Address
  • Occupancy type

6
On-Site Data Collection (2)
  • Secondary
  • Shape
  • Contents damageability
  • Ornamentation
  • Construction quality
  • Fatigue/maintenance...

7
On-Site Data Collection (3)
  • Retrofits
  • Bracing of key pieces of equipment

8
On-Site Data Collection (4)
  • Fire following
  • Sprinkler leakage

9
Computer Modeling
  • Database of earthquake faults (or hurricane
    tracks)
  • Expected likelihood and magnitude
  • Choose scenarios

10
Hayward Fault
11
Computer Modeling (2)
  • Attenuation function
  • Database of soil types (or ground roughness)
  • Determine shaking intensity at each site (or
    windspeed)

12
Computer Modeling (3)
  • Engineering tables estimate the damage, based on
    construction features and shaking intensity
  • Secondary modifiers

13
Outputs/Results
  • Probable Maximum Loss
  • Maximum Credible Earthquake
  • Likelihood of experiencing small loss, medium
    loss, large loss
  • Damage extent
  • Downtime
  • Dollar loss

14
Outputs/Results (2)
  • Equipment damage
  • Earthquake scenarios
  • Vulnerabilities
  • Cost-benefit of retrofits
  • Damage at primary-site vs secondary site
  • Damage/downtime at each different facility

15
Outputs/Results (3)
  • Sprinkler leakage
  • Fire following
  • Storm surge

16
Deliverables
  • Loss estimates
  • Recommendations for risk improvement
  • Equipment damage
  • Fire following
  • Sprinkler leakage
  • Earthquake scenarios
  • Chart of magnitude vs. likelihood

17
Common Models
  • RMS EQ, Hurricane (including storm surge),
    Pandemic, Tornado, Hail, Flood, Terrorism
  • AIR EQ, Hurricane, Terrorism, Tornado, Hail,
    Flood, Winter-storm
  • EQE EQ, Hurricane, Tornado, Hail, Terrorism,
    Wildfire, Winter-storm
  • St Risk EQ
  • FEMA EQ, Hurricane, Flood

18
Other Models
  • MunicRe EQ, Hurricane, Flood
  • LANL Pandemic, Wildfire
  • DHS Pandemic
  • Others Sinkhole, Toxic Plume, Fire/Smoke,
    Nuclear...

19
Pandemic Modeling
  • Information about your organization
  • Headcount
  • Geography
  • Age and other demographics
  • Historic data about past pandemics
  • Infection rates
  • Illness severity
  • Mortality
  • Scenarios based on
  • 1800 different scenarios
  • Likelihood vs severity
  • Governments ability to implement response plans

20
Pandemic Modeling (2)
  • Absenteeism
  • Week-by-week impacts
  • Impacts of countermeasures
  • Surge demand for IT

21
Terrorism Modeling
  • Location and headcount
  • Thousands of U.S. targets
  • Proximity to targets
  • Potential attack modes bomb blast, aircraft,
    CBRN
  • Neighborhood data (construction type, stories,
    size)

22
Terrorism Modeling (2)
  • Property damage
  • Downtime
  • Injuries and fatalities
  • Impacts of countermeasures
  • Frequency and severity

23
Drivers for Choosing a Model
  • Hazards to be analyzed
  • EQ
  • Wind
  • Flood
  • Pandemic
  • Terrorism
  • Wildfire

24
Drivers for Choosing a Model (2)
  • Number of facilities
  • Single-site
  • Campus
  • Several facilities in 1 region
  • 100's of facilities

25
Drivers for Choosing a Model (3)
  • What type of result is needed
  • Downtime (weeks)
  • Vulnerabilities and recommendations
  • Cost-Benefit for retrofiting/upgrades
  • Damage
  • loss

26
Drivers for Choosing a Model (4)
  • Purpose for the modeling
  • Risk transfer (insurance)
  • Risk mitigation (retrofits/upgrades)
  • Risk avoidance (site selection)

27
Other Drivers
  • Unusual facilities
  • Electrical lines, bridge, underground piping,
    outdoor equipment/tanks, towers
  • Location
  • International
  • U.S. regions

28
How BC Professionals Can Use These Models
  • Risk/vulnerability assessment
  • Damage prediction
  • Downtime
  • Planning scenarios
  • How many locations can be impacted at once
  • Are facilities geographically remote enough...

29
How BC Professionals Can Use These Models (2)
  • Risk Mitigation
  • Retrofits
  • Fire following
  • Sprinkler leakage
  • Cost-benefit of mitigation options
  • Data to support specific pandemic response
    programs

30
How BC Professionals Can Use These Models (3)
  • Risk Avoidance
  • Site selection for primary sites
  • Back-up facilities
  • Sites sufficiently remote?
  • EOC site selection...

31
How BC Professionals Can Use These Models (4)
  • Risk transfer (insurance)

32
Case Study - Pharmaceutical
  • Potential impacts at 2 separate sites
  • Downtime estimates
  • Risk mitigation (fire-following, sprinkler
    leakage)
  • Cost-benefit of structural upgrade

33
Case Study Drug RD
  • Extent of damage for each building a campus
    arrangement
  • Downtime estimates
  • Planning scenarios

34
Case Study Construction Materials Manufacturer
  • Estimation of damage to critical equipment
  • Downtime for critical equipment
  • Simultaneous impacts at 2 separate sites?
  • Impacts to critical infrastructure (electrical
    distribution, gas-piping, water mains)
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