Download - EVACUATION TIME ESTIMATES - Nucleus
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1 AAEA/ANNuR
June 2014
EVACUATION TIME
ESTIMATES
RICHARD EMCH, ADSTM
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2 AAEA/ANNuR
June 2014
Objectives
• Understanding of the approach to developing evacuation
time estimates
• Study example of how evacuation time estimates were
developed for one US nuclear power plant
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3 AAEA/ANNuR
June 2014
Evacuation Time Estimates (ETE)
• Perform calculations using generally accepted computer
model
• Integrated assessment with multiple inputs
• Numerical estimates not main purpose: No minimum
required evacuation time
• Determine whether physical barriers pose impediments
to evacuation
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June 2014
Evacuation Time Estimates (ETE)
• USNRC NUREG/CR-6863 “Development of Evacuation
Time Estimate Studies for Nuclear Power Plants,” (December 2004)
• No USNRC criteria for acceptable ETE
• Typical estimates: 3 hours for good conditions
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June 2014
Key Factors
• Permanent, transient, special populations
• Road networks, nodes, congestion points
• Mass transit, persons without vehicles
• Preparation and assembly time estimates
• Adverse behaviors
• Adverse weather and special events
• Physical barriers
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6 AAEA/ANNuR
June 2014
Analysis
• Demand Estimation
• Traffic Capacity
• Trip Generation Time
• Evacuation Scenarios
• Analysis Results
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June 2014
Demand Estimation
• Estimate the number of people to be evacuated
• Estimate the number of vehicles during evacuation
• Include all persons located within EPZ
• Permanent residents
• Seasonal population
• Transient population
• Special facilities population
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June 2014
Demand Estimation
• Permanent Residents
• All people living in the area (excludes institutions)
• People with automobiles / people depending on public
transport
• Transient Population
• Visitors, tourists, shoppers
• Employees not residing in the area
• College students
• Special Facilities
• Schools and day care centers
• Hospitals and nursing homes
• Prisons
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9 AAEA/ANNuR
June 2014
Demand Estimation
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June 2014
Demand Estimation
• Pay attention to double-counting
Minor double-counting since it is not likely to change
outcome
• Too conservative estimates can be damaging
• Assumptions on number persons/vehicle
• Consider undesired effects
Shadow (voluntary) evacuation
Background traffic
Returning commuters
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June 2014
Traffic Capacity
• Major factor in ETEs
• Road capacity may be impacted by
Obstructions in flow (road repair, accidents)
Adverse weather
Roadway design (intersections, on-ramps, lane width,
pavement)
Driver behavior
• Build models build to simulate traffic behavior, validate
through field surveys
• Include only the evacuation routes
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June 2014
Trip Generation Time
• Total time required by individual or family to prepare for evacuation
• Can be obtained through surveys
• Assumptions or generalized data are also acceptable, but basis
must be provided
• Can assume sequential events or distribution functions
• Identify sensitive parameters/conditions of large impact on the trip
generation time
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June 2014
Evacuation Scenarios
• Normal/adverse weather
• Various seasons (winter / summer)
• Time of the day
• Day of the week
• Special events
• Various evacuation sectors (by wind direction)
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June 2014
Analysis
• Report ETEs as a function of:
Evacuation areas
Evacuation scenario
General public / special populations
ETEs to evacuate 100% of population, as well as 90%,
50%, etc.
• Sensitivity analysis to asses the impact of the assumptions
• Update ETE if information changes significantly
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June 2014
EXAMPLE
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16 AAEA/ANNuR
June 2014
Turkey Point ETE Analysis
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17 AAEA/ANNuR
June 2014
Turkey Point ETE Analysis
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18 AAEA/ANNuR
June 2014
Turkey Point ETE Analysis
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19 AAEA/ANNuR
June 2014
Turkey Point ETE Analysis
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20 AAEA/ANNuR
June 2014
Turkey Point ETE Analysis
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21 AAEA/ANNuR
June 2014
Turkey Point ETE Analysis
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22 AAEA/ANNuR
June 2014
Turkey Point ETE Analysis
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23 AAEA/ANNuR
June 2014
Turkey Point ETE Analysis
(11x12 = 132 ETEs)
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24 AAEA/ANNuR
June 2014
Turkey Point ETE Analysis