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US Army Corps of Engineers
BUILDING STRONG®
Consequence Assessment for Dam Failure Simulations
Kurt Buchanan, CFMEconomistMapping, Modeling, and Consequences CenterUS Army Corps of EngineersHuntington, WV
BUILDING STRONG®
Overview
Corps Dam Safety Program overview
Consequence Estimation Using HEC-FIA (Flood Impact Analysis)
► Data inputs required► Methodology used by the software► Results
Indentifying Critical Infrastructure within dam failure inundation areas
BUILDING STRONG®
USACE Dam SafetyRisk Assessment Activities
Screening► Minimal effort, classify portfolio
Periodic Assessments andIssue Evaluation Studies
► Validate screening, identify path forward
Dam Safety Modification Studies (DSMS)
► Risk reduction alternative analysis
Critical Infrastructure Protection and Resiliency (CIPR)
► Aligned with DHS homeland security
High Probability
High Consequence
Low Probability
Low Consequence
High Probability
Low Consequence
Low Probability
High Consequence
Increasin
g Risk
Consequence
Pro
bab
ility
RISK = (Probability, Consequence)
BUILDING STRONG®
USACE Dam SafetyMapping, Modeling, and Consequences Team
Virtual team of technical experts from across the Corps GIS specialists, hydraulic engineers, and economists Provides a standard operating procedure, technical
training, and quality reviews Produces a dam break hydraulic model, consequence
estimate, and inundation map for each project Results in a quality standardized product to support the
risk assessment process
BUILDING STRONG®
USACE Dam SafetyConsequence Assessment Workflow
New Risk Assessment
3 new “teams”
MMC (H&H/Econ)1. Generic dam
break modeling2. Consequence
modeling (HEC-FIA)
Risk Team (H&H/Econ)1. PFMA specific dam
break modeling2. Consequence
model refinement (HEC-FIA)
Dam Break & HEC-FIA models
District Team 1. Dam break
modeling input and “QC”
2. Consequence modeling input and “QC”
BUILDING STRONG®
Consequence EstimationCorps HEC-FIA Software
GIS-based software program, currently beta version
Uses data from a HEC-RAS dam failure model (depth grids, hydrograph, cross sections, etc.)
Structure inventory can be developed using data from FEMA’s HAZUS program
► Tax parcel data or point shapefiles can also be used
Program gives a statistical estimate of direct damages and loss of life to individual structures
BUILDING STRONG®
Consequence EstimationHEC-FIA Variables
Warning System Curves► Default lowest curve is the emergency broadcast system
Mobilization curves► Default is a maximum of 98% of population mobilized► Can be changed depending on expected evacuation capability
Evacuation velocity► Modeled as a straight line from the structure to the nearest safe zone,
average evacuation speed is set at an average of 10 mph
Warning time relative to the breach initiation
BUILDING STRONG®
Consequence EstimationMobilization Curve Example
BUILDING STRONG®
Consequence EstimationExample of a HEC-FIA Model
BUILDING STRONG®
Consequence EstimationHow HEC-FIA Works
For physical damages:► Determine the inundation depth at the structure from
the depth grid► Apply the appropriate depth-damage curves based on
structure type
For life loss estimate:► Determine if population was warned and had time to
mobilize from arrival time data► Assign a fatality rate for remaining population based
on inundation depth and structure type
BUILDING STRONG®
Consequence EstimationFatality Rate Zones (1-story)
Fatality rates are based on historical averages
Chance Zone – 91% >FH + 15'
Compromized Zone - 12% FH + 13' to 15'
Safe Zone – 0.02%<FH + 13'
BUILDING STRONG®
Consequence EstimationDouble Warnings
Downstream inundation is split into two warning zones
► No Fail Zone – Area flooded prior to or regardless of the dam failure (i.e. spillway flow)• Population gets warned when flooding is predicted from
heavy rainfall and will have more time to evacuate
► Fail Zone – Not flooded until after the dam fails• Population is not at risk from normal flooding and will not
have any reason to evacuate until a dam failure occurs or is predicted to occur
BUILDING STRONG®
Double-Warning Procedure
Must be implemented any time there is significant non-fail Population at Risk
13
TIMEOvertopping
Failure ExpectedFailure
FLOWFailure Evac.
Warning
MajorFloodingForecast
Major Flood Evac.
Warning
Damaging Release
HEC-FIA WARNING ISSUANCE
TIMES
BUILDING STRONG®
BUILDING STRONG®
BUILDING STRONG®
Consequence EstimationExample HEC-FIA Model
BUILDING STRONG®
Consequence EstimationResults
Direct damage estimates to structures, contents, and vehicles
Population at risk during the day and at night
Loss of life during the day and at night
Agricultural damages
Results can be identified by locations/areas
BUILDING STRONG®
Consequence EstimationResults
BUILDING STRONG®
Critical InfrastructureWhy it matters
Important to identify Critical Infrastructure and Key Resources (CIKR) that could be at risk from a dam failure
Impacts caused by damage to CIKR are not included in the direct damage estimate
Impacts can be cascading
Potential damage to CIKR can be included in planning and mitigated for if identified
BUILDING STRONG®
Critical InfrastructureExamples of CIKR
Chemical manufacturing facilities, power generation plants, medical facilities
Water, sewer, and power infrastructure
Police stations, fire stations, prisons, schools
Transportation and communication networks
Many, many others…
BUILDING STRONG®
Critical InfrastructureCorps Path Forward
Currently developing a GIS-based method to identify and prioritize CIKR assets in inundation areas using DHS datasets
Priority will be given to CIKR that could impact human life safety
Integrate CIKR information into the overall risk estimate of each dam
Communicate risk levels to CIKR owners and operators
BUILDING STRONG®
Summary
Corps Dam Safety Program overview
Consequence Estimation Using HEC-FIA (Flood Impact Analysis)
► Data inputs required► Methodology used by the software► Results
Indentifying Critical Infrastructure within dam failure inundation areas
BUILDING STRONG®
Questions?
My Contact Info:► Kurt Buchanan► [email protected]► (304) 399-5187
Hydraulic Engineering Center Website:► www.hec.usace.army.mil