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Infrastructure Interdependencies
Project
Mitigation of Extreme Event Risk:
Electric Power Outage and Infrastructure Failure
InteractionsPresented by
Timothy L. McDanielsUniversity of British Columbia
USC Center for Risk and Economic Analysis of Terrorism Events (CREATE)
Symposium on the Economic Costs and Consequences of Terrorism20-21 August 2004
Infrastructure Interdependencies
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Acknowledgements
Co-authorsStephanie Chang, University of British ColumbiaDorothy Reed, University of WashingtonKrista Peterson, University of British Columbia
ContributorJoey Mikawoz
Funded by a grant from the National Science Foundation
Infrastructure Interdependencies
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Outline
• Introduction • Structure and components of overall project• Infrastructure interdependencies• Conceptual framework for IFI measures• Examples of IFI measures for major outages
– 2003 Eastern NA blackout– 1998 Quebec Ice Storm– 1993 Inauguration Day Storm in PNW
Infrastructure Interdependencies
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1. Introduction
• Terrorism: an extreme kind of “extreme event”– “New kind of trouble”: no “all clear”,
deliberate
• NSF definition of extreme event:– Low p, high consequence, systems
interactions, nonlinear response, outside of standard “coping” range
• New metrics, analytical methods needed
Infrastructure Interdependencies
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Introduction (2)
• Major electrical outages are the outcome of many kinds of “extreme events”
• These outages create spillovers into other infrastructure systems
• We call these “infrastructure failure interdependencies” (IFIs)
• Managing IFIs helps mitigate the effects of big outages or other extreme events
Infrastructure Interdependencies
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Introduction (3)
• Conference theme: analyzing economic costs of terrorism attacks
• Helpful for guiding priorities for prevention and mitigation investments
• Our project: guidance for mitigating effects of big power outages in terms of effects on other infrastructure systems (IFIs); helpful also for terrorism
Infrastructure Interdependencies
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2. Project Components
• Three broad components (three years):1. Develop metrics and methods for
characterizing IFIs (this paper)2. Develop influence diagrams and
scenarios as simple models of IFI patterns3. IFI mitigation options; ranking by experts
Infrastructure Interdependencies
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Kobe earthquake interdependencies
Table 1. Interdependent Effects of Electric Power Outage in the 1995 KobeEarthquake(after Nojima and Kameda, 1996)
DependentInfrastructure System
Type ofInteraction
Description of Interaction
Transportation Functional damagepropagation
Malfunction of traffic signals due to poweroutage
Telecommunications _ Loss of satellite communications for emergencycommunications, due to power loss atprefectural control center
Telecommunications _ Malfunction of 285,000 telephone subscribersÕlines due to loss of power at telephoneexchange centers
Telecommunications _ Unavailability of public emergency phonesystem, which relies on electric power to readtelephone cards
Hospitals _ Blackout due to loss of power supply andfailure of emergency generators from lack ofcoolant
Water _ Loss of filtration plants and pump stations dueto power loss
High-rise buildings _ Loss of elevators and pumps to move water toroof tanks
Disaster response Recovery interruption Inability to mobilize rapidly due totransportation disruption (indirectly due toelectric power outages)
Natural gas Compound damagepropagation
Fire ignitions due to natural gas leakage andelectric power sparks
Emergency shelters _ Lack of heating due to power loss
Infrastructure Interdependencies
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Influence Diagram of Electric Power Reliability
(after Keeney et al., 1995)
Infrastructure Interdependencies
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Approaches Guiding Mitigation Ranking
• Large literature on risk ranking generally• Our approach: not E(V), but rather:
conditional E(V), given a major outage (Haimes, 1998, partitioned multiobjective risk method), so no probabilities of outages or extreme events needed
• Multiple objectives matter as basis for ranking mitigation alternatives
• Domain experts to create and rank alternatives
Infrastructure Interdependencies
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3. Concepts for IFI Analysis
• Rinaldi, et al, IEEE, 2001 provides important framework for “critical infrastructure interdependency” studies
• Definition: “bidirectional relationship between two infrastructures through which the state of each infrastructure influences or is correlated to the state of the other.”
• Often called “lifeline interactions”
Infrastructure Interdependencies
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4. Conceptual Framework for IFIs
• We are interested in finding out which interdependencies (and failures) are most important to society
• We propose a new framework that builds on previous work just discussed
• Provides a typology of IFIs for systematically gathering, structuring and analyzing data about actual outage events
• We focus on electrical outages; could be used for any IFI
Infrastructure Interdependencies
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Conceptual Framework (2)
• We want to address two questions:– What are the channels by which electric power
outages cause failures in other infrastructure systems?
– Which of these channels are the most important?
• Three components: aspects of the outage (initial failure), aspects of the interactions, and aspects of the consequences
Infrastructure Interdependencies
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Conceptual Framework (3)
IFI Dimension Characteristic Example Values
OUTAGE Initiating event internal to electric power system; external
Spatial extent local; regional; national; international
Duration minutes; hours; days; weeks
Weather moderate temperatures/ conditions; extreme
Infrastructure Interdependencies
Project
Conceptual Framework (4)
IFI Dimension
Characteristic Example Values
INTERACTIONS Type of dependency physical; geographic
Type of interdependent failure
cascading; escalating; common-cause; compound damage propagation
Order direct; second-order; higher-order
Complexity linear; complex
Feedback to electric power yes; no
Operational state of dependent system
at/near capacity at time of event; well below capacity
Potential for adaptive response
high; low
Restart time for dependent system
minutes, hours, days, weeks
Infrastructure Interdependencies
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Conceptual Framework (5)
IFI Dimension Characteristic Example Values
CONSEQUENCE
Severity of impact minor inconvenience; moderately disruptive; very disruptive
Type of impact economic; health; social; environmental
Number of people impacted
few; many
Duration of impact minutes; hours; days; weeks
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Comparing our categories to others
DatabaseAffected System
U.S. GovernmentCritical Infrastructure Sectors
(White House, 2003)
Canadian GovernmentCritical Infrastructure Sectors
(PSEPC)Building SupportBusiness Defense Industrial Base
Chemical Industry and HazardousMaterials
Manufacturing
Emergency Services Emergency Services SafetyFinance Banking and Finance FinanceFood Supply Agriculture
FoodFood
Government Government GovernmentHealth Care Public Health Health CareTelecommunications Information and
TelecommunicationsCommunications and InformationTechnology
Transportation Transportation TransportationUtilit ies Water
EnergyEnergy and UtilitiesWater
Postal and Shipping
Infrastructure Interdependencies
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Applications of IFI Framework
• Used published newspaper accounts and reports to create a database of IFIs for a given major outage event
• Used the categories of the framework to structure the database
• Developed a “severity index” for categorizing consequences
• Developed graphic approaches to summarize findings
Infrastructure Interdependencies
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DISRUPTION SCALE
6 = Very disruptive to many people5 = Very disruptive to a few people4 = Moderately disruptive to many people3 = Moderately disruptive to a few people2 = Minor inconvenience to many people1 = Minor inconvenience to a few people
Definitions
Many people Few people
More than 100,000 people Less than 100,000 people
Very disruptive Moderately disruptive Minor inconvenience
Requires significantmodifications in daily routine orplans and causes considerablehardship to the person or entity
Requires a few modifications indaily routine or plans and causessome hardship to the person orentity
Requires minor modifications indaily routine or plans and causesnegligible hardship to the personor entity
Disruption Scale
Infrastructure Interdependencies
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2003 Northeast Blackout
Largest blackout in North American history
Photo by Reuters/Chip East
Infrastructure Interdependencies
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Duration of outage by city
City Length of Outage (in hours)
Cleveland 26Detroit 36New York City 29Toronto 41
Infrastructure Interdependencies
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Outage Begins
1 Day
2 days
4 days
Weeks
5 Hours
11 Hours
People trapped in elevators rescued
Water pumps begin working again
Power restored to alarms, appliances, gas and water pumps, and sewage treatment plants
Trading light on stock exchange
Bank branches openPublic health concerns, such as food poisoning from spoiled food, decreaseCellular phones service reliability restoredLimited service at airport1500 traffic signals still not working properly
Canadian National Exposition opens 4 days lateSubways and streetcars start running Oil refineries resume operationsFresh food supplies still low in grocery stores, food banks
Blood and vaccine supplies lowMany government offices closed for 11 days to conserve energyMajor industries operate at half capacity to conserve energy Some nuclear reactors take weeks to get back onlineHomes flooded with sewage cleaned up
IFIs Begin
Outage Ends
IFIs End
Timeline ofToronto’s IFIs
Infrastructure Interdependencies
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Mines
Retail
Computer Systems
Manufacturing
Restaurants
Hotels
HVAC
Elevators
SecurityWastewater
Water
Conservation
Oil
Sanitation
Nuclear Power
Roads
Rail
Air
Gas Stations
Mass Transit
Bus
Offices
Services
Transportation
Production
Storage
Preparation
Ambulance
911
Police
Fire
Stock Exchange
Credit Cards
Banks
ATM
Hospitals
Public Health
Cable
Media
Internet
Land Line Telephones
Cellular Telephones
Business
Building Support
Utilities
Transportation
Finance
Government
EmergencyServices
FoodSupply
HealthCare
Tele-communications
2003 NEPowerOutage
Event
Affected Infrastructure Systems
Affected Infrastructure Subsystems
Very disruptive to many people
Very disruptive to few people
Moderately disruptive to many people
Moderately disruptive to few people or minor inconvenience to many or few people
Infrastructure Interdependencies
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1998 Ice Storm
• Affected Northeastern U.S. and Canada
• 1.4 million people in Quebec and 230,000 in Ontario without power
Photo by CP PHOTO/Jacques Boissinot
Infrastructure Interdependencies
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Water
Oil
Roads
Air
Gas Stations
Mass Transit
ServicesProduction
Storage
Police
911
Shelters
Fire
Cable
Media
Land Line Telephones
HVAC Security
Plumbing Garage Doors
Banks
ATM
Daycare
Schools
Retail
Hotels
Restaurants
Manufacturing
Hospitals
Public Health
Business
Building Support
Utilities
Transportation
Finance
Government
EmergencyServices
FoodSupply
HealthCare
Tele-communications
Education
1998 Ice Storm and
Outage
Infrastructure Interdependencies
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1993 Inauguration Day Storm
January 20 windstorm that affected the Pacific Northwest
Photo by Seattle City Light
Infrastructure Interdependencies
ProjectBusiness
Building Support
Coordination of repair crews from BC Hydro
and western states
Utilities
Transportation
Government
EmergencyServices
FoodSupply
HealthCare
1993 Storm Power Outage
Pumps unable to fill storage tanks: extreme
water conservation measures imposed
Raw sewage overflow and dumping
Gasoline pumps not working
Reversible lanes on I-5 not working
Traffic lights dark on surface streets
Elevator problems in high-rises
Alderwood Mall closes early
Interpoint manufacturing plants down, Boeing 777
plant briefly out, Microsoft out for 12 hours
Gas stations closed: commuters unable to
drive to work with low or no gasoline, gasoline
required for small generators
911 flooded with calls about
power restoration
Many restaurants close, others may have
sanitary problems due to lack of hot water
Schools close; some students remain overnight
Olympia legislative session curtailed
32-year-old man electrocuted when a
treetop hit a power line
Hospitals report more cases of communicable diseases such as E.Coli,
possibly due to lack of hot water for properly
washing hands
Public safety threat: Many power lines down and
lying in the streets
Event
Affected Infrastructure Systems
Description of Event
Interdependencies
Very disruptive to many people
Very disruptive to few people
Moderately disruptive to many people
Moderately disruptive to few people or minor inconvenience to many or few people
Infrastructure Interdependencies
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Summary and Conclusions
• Study seeks to identify important IFIs and promising mitigation strategies for them
• Preliminary analysis shows IFIs vary depending on type and duration of outage, early indications are that impacts on transportation are especially severe
• Next step is expanding the database using the conceptual framework
Infrastructure Interdependencies
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Conclusions and Comparison
• Our approach contrasts with the work of other researchers here
• We are working from the bottom up to identify “low hanging fruit” in terms of opportunities to mitigate the IFIs from electrical outages from any cause
• The result would be more resilient response to disasters