HISTORY OF ENGINEERINGBASED EARTHQUAKE CASUALTY MODELING - PowerPoint PPT Presentation

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HISTORY OF ENGINEERINGBASED EARTHQUAKE CASUALTY MODELING

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Title: HISTORY OF ENGINEERINGBASED EARTHQUAKE CASUALTY MODELING


1
HISTORY OF ENGINEERING-BASED EARTHQUAKE CASUALTY
MODELING
2
Research Participants Sponsor
  • Hope A. Seligson, Kimberley I. Shoaf, Corinne
    Peek-Asa, And Maya Mahue-Giangreco
  • Support for this research was provided by
    National Science Foundation Grant Numbers
    CMS-9900062 and CMS-0085314

3
Definitions
  • Engineering-based earthquake casualty models
    predict building damage-related casualties (and
    in some cases, other types of casualties). These
    models have typically been developed by engineers
    from limited anecdotal, historical data (not from
    epidemiological studies, nor involving
    health-related researchers).
  • These models are typically used for emergency
    response, planning and mitigation by government
    agencies at various levels, but are less useful
    for health preparedness planning.

4
1970s NOAA Scenarios
  • NOAA published scenarios in 1972 (SF Bay area)
    and 1973 (LA area) that estimated
    building-related casualties.
  • Tabulated aggregate damage and casualty
    statistics for historic earthquakes.
  • Used generalized casualty rates per 100,000
    population based on previous earthquakes.
  • Mystery ratios of 41 serious injuries (i.e.,
    requiring hospitalization) to deaths and 301
    minor injuries to deaths.
  • Included estimates for sidewalk deaths and
    freeway collapse.
  • The final results were judgment-based, scenario
    specific casualty estimates, rather than a
    broadly applicable casualty estimation methodology

5
1980s ATC-13 and Expert Opinion
  • In 1985, the Applied Technology Council (ATC-13)
    took a more comprehensive look at estimating
    building damage for classes of structures using
    expert opinion.
  • Percent damage and damage state for 17 structural
    classes are estimated from Modified Mercalli
    Intensity (MMI), similar to earlier work by
    Whitman, et. al (1974).
  • Mean casualty rates associated with damage
    states, were applied to the exposed population.
    Rates based on historic EQs, previous models and
    judgmental evaluation
  • Mystery ratios still in use.

6
ATC-13 Casualty Rates
Note for light steel and wood-frame
construction, multiply all numerators by 0.1
7
1990s State of the Art Computer Models -
HAZUS (NIBS/FEMA)
  • Uses advanced ground motion parameters and
    detailed engineering analyses to determine
    building damage states and associated damage
    state probabilities. Represents a significant
    advance in the automated application of loss
    estimation techniques.
  • Indoor and outdoor casualty rates by damage state
    and model building type, based on ATC-13 and
    limited historical data for 4 injury severity
    levels
  • Injuries requiring basic medical aid
  • Hospitalized
  • Life threatening Injuries
  • Deaths

8
HAZUS Earthquake Loss Estimation Methodology -
Indoor Casualty Rates (HAZUS99, SR-2)
Notes URM unreinforced masonry, LRWF
low-rise wood frame, HR URMI high rise steel
or concrete frame structures with URM Infill
walls, MH mobile home, SLF steel, light
frame, HR PC high rise precast concrete
structures
9
More State of the Art Computer Models EPEDAT
  • EPEDAT (Early Post-Earthquake Damage Assessment
    Tool) was developed by ABS Consulting/ EQE
    International for the CA Office of Emergency
    Services. It is a GIS-based program designed to
    produce regional damage and casualty estimates
    for emergency response and planning purposes.
  • For casualty models, Beta distribution applied to
    ATC-13 and Whitman casualty rates to distribute
    casualties within range of potential damage in
    each damage state (i.e., more injuries with more
    damage in a given damage state).

10
Current Research Earthquake Data and
Opportunities for Improvement
  • NSF (and other funding) allowed researchers
    (inter-disciplinary team from UCLA, LA County
    DHS, and ABS/EQE) to collect and correlate data
    from the Northridge and other earthquakes
  • building characteristics and damage data
  • coroners data
  • hospital admission data
  • ED logs
  • Survey data on damage and injuries
  • Research goal capitalize on the high-quality
    data to improve the way engineering-based models
    estimate building-related casualties, and make
    the results more meaningful to health care
    providers.

11
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12
Application of Northridge Data
  • Comparison of model prediction to actual
    Northridge data to develop after-market
    modifications that make results more useful to
    medical community.
  • Translates estimates of Injuries and Deaths
    to
  • Fatalities (non-hospital, i.e., DOA)
  • Fatalities requiring hospital care (i.e., ICU)
  • Trauma cases
  • Non-Trauma Hospital Admissions
  • ED Treat Release
  • Out of Hospital Treatment

13
Refinements to EPEDATs casualty models for
injury planning and response
14
Additional Research Products
  • A literature review of the medical,
    epidemiological, public health, and engineering
    literature. See http//www.ph.ucla.edu/cphdr/proj
    ects.html.
  • Development of a standardized classification
    scheme for all aspects of earthquake-related
    casualties (e.g., injury mechanism, building
    damage). See http//www.ph.ucla.edu/cphdr/scheme
    .pdf
  • An integrated review of available casualty and
    damage data (e.g., Northridge, Kobe, Nisqually
    EQs) classified according to the new
    classification scheme - in progress.

15
Conclusions
  • Engineering-based casualty models allow for rapid
    estimation of regional population impacts for
    response, planning and mitigation purposes.
    While many advances have been made in the area of
    loss estimation, casualty modeling has not
    received the attention dedicated to the
    development of other model components.
  • Future enhancement of the such models will
    benefit greatly from coordinated data collection
    and analysis, as well as inter-disciplinary
    research incorporating medical and public health
    perspectives. This integrated approach will
    facilitate the use of data from recent and future
    events to refine engineering-based casualty
    models.

16
Standardized Classification Scheme for
Earthquake-Related Injuries
17
Purpose of Standardized Classification Scheme
  • To establish a systematic, multi-disciplinary and
    collaborative approach to the study of risk
    assessment, loss estimation for earthquakes
  • To create a common language to define the event,
    the victims and responses for any given
    earthquake
  • Reduce variability of data for reported deaths
    and injuries

18
Components of Classification Scheme
19
Use of Existing Measures
  • Abbreviated Injury Score
  • International Classification of Diseases, 9th.
    Revision
  • ATC 20

20
Hazard Level Variables
  • Earthquake Source
  • Earthquake Name
  • Event Number or ID
  • Magnitude
  • Magnitude Scale
  • Date
  • Time
  • Day of Week
  • Earthquake Location
  • Rupture Length
  • Rupture Area
  • Presence of Surface Rupture
  • Deepest Point of Rupture
  • Shallowest Point of Rupture
  • Fault Source
  • Local Site Hazard
  • Earthquake ground motion
  • Local Site Conditions

21
Building Level Variables
  • Building Description
  • Structural System
  • Building Height
  • Building Size
  • Building Year
  • Seismic Design Quality
  • Debris Generation Potential
  • Occupancy Type
  • Estimated Occupancy
  • Actual Occupancy
  • Building Damage
  • Building Safety Inspection Status
  • Safety Tag
  • Dollar Damage
  • Damage Percent
  • Damage State
  • Building Collapse

22
Individual Level Variables
  • Demographics
  • Age
  • Gender
  • Race/Ethnicity
  • Level of Education
  • Occupation
  • Income
  • Disabilities and Pre-existing Conditions
  • Injury Characteristics
  • Cause of Injury
  • Relation of EQ
  • Structural Relatedness
  • Secondary Hazards
  • Injury Mechanisms
  • Injury Severity
  • Treatment
  • Level of Treatment
  • Immediacy
  • Diagnoses
  • Costs
  • Direct Medical Care Costs
  • Indirect Costs

23
Individual Level Variables, cont.
  • Location
  • Injured individuals physical location
  • Injured individuals geographic location
  • Activity
  • Starting position
  • Activity
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