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1 Risk Analysis of Highly-integrated Systems RB I: Result Representation (Expected Value, Frequency- Consequence-Diagram, Uncertainties), Visualisation (GIS), Risk Assessment, Regional Aspects Frequency-Consequence-Diagram Coordinate system with event frequency and damage consequence (consequence assigned to frequency) No connection to a risk value Synonyms for the frequency-consequence-diagram F-C-Diagram (Frequency-Consequence) F-N-Diagram (Frequency- Number of Fatalities) W-A-Diagram (Probability-Consequence) is misleading 2 Prof. Dr. Wolfgang Kröger Risk Analysis of Highly-integrated Systems

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Risk Analysis of Highly-integrated Systems

RB I: Result Representation (Expected Value, Frequency-Consequence-Diagram, Uncertainties), Visualisation (GIS), Risk Assessment, Regional Aspects

Frequency-Consequence-Diagram

• Coordinate system with event frequency and damage consequence (consequence assigned to frequency)

• No connection to a risk value

• Synonyms for the frequency-consequence-diagram

• F-C-Diagram (Frequency-Consequence)

• F-N-Diagram (Frequency- Number of Fatalities)

• W-A-Diagram (Probability-Consequence) is misleading

2Prof. Dr. Wolfgang Kröger Risk Analysis of Highly-integrated Systems

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Example: Number of deaths from tornados in the US between 1938 and 1977• Accumulated frequency as a base for the F-C-diagrams

P d f th t ti f F C di (CCDF)• Procedure for the construction of a F-C-sum-diagram (CCDF)

F(N=n)Σk

i = 1

F(Nn) =

Number of deaths:ni

Number of Tornados with n

i Deaths:F(N=ni)

Accumulated frequency:F(N≥ni)

Accumulated frequency per year: F(N=ni)/40

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10 5 79 1.975

11 4 74 1.850

12 3 70 1.750

... ... ... ...

250 1 3 0.075

270 1 2 0.050

323 1 1 0.025

F-C-diagram

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Probalistic Risk Analysis (PRA)

The analysis level in nuclear technology:• Level 1• Level 1

Plant relevant analysis to identify dangerous or undesired scenarios and events. E.g. identification of scenarios, which lead to a core melt and determining their occurrence probability.

• Level 2Analysis of possible impact on the plant by undesired events, and determining the release of energy and substances into the environment. E.g. categorised releases (amount, conditions, f ) f th t i t

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frequency) from the containment. • Level 3

Analysis of transport mechanisms within the environment, assessment of the consequences from an accidental activity release, and their frequency. E.g. loss of human life, area contamination etc. including specific occurrence probability.

6Prof. Dr. Wolfgang Kröger Risk Analysis of Highly-integrated Systems

MUSA: Mühleberg Safety Analysis HSK: Hauptabteilung für Sicherheit von Kernanlagen ERI: Energy Research, Inc.

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The Source-Term

• The amount and the isotope composition, combined with physical and chemical properties the heat quantity in aphysical and chemical properties, the heat quantity in a contaminant plume resp. –cloud, the time profile and the height of release describe the Source-Term.

• The Source-Term is depending on the accident sequence.

Examples of different Source-Terms:

7Prof. Dr. Wolfgang Kröger Risk Analysis of Highly-integrated Systems

Quellterm

Zeit vor Freisetz-ung [h]

Dauer der Freisetzung

[h]

Freisetz-ungsrate

[MW]

Freisetz-ungshöhe

[m]

Zeit zur Alarmierung

[h]

Freigesetzter Anteil

Xe-Kr

Org-I I Cs-Rb Te-Sb Ba-Sr, Ru

La

QT1 2.0 3.0

1.0 5.0

2.0 0.2

10 10

1.0 -

1.0 -

0.001 -

0.1 -

0.1 -

0.05 0.05

0 0.01

0 0.001

QT2 2.0 1.0 0 10 1.0 1.0 0.001 0.1 0.1 0.1 0.01 0.001 QT3 2.0 1.0 0 10 1.0 0.1 0.00001 0.001 0.001 0.001 0.0001 0.00001 QT4 2.0

3.0 5.0

1.0 1.0 1.0

0 0 0

10 10 10

1.0 - -

1.0 - -

0.00033 0.00033 0.00033

0.033 0.033 0.033

0.033 0.033 0.033

0.033 0.033 0.033

0.0033 0.0033 0.0033

0.00033 0.00033 0.00033

QT5 2.0 24.0 0 10 1.0 1.0 0.001 0.1 0.1 0.1 0.01 0.001

Uncertainty: Percentiles

• A percentile is the value of a variable below which a certain percent of observations fallobservations fall.

• So the 95th (5th) percentile is the value below which 95% (5%) of the observations may be found.

• The 50th percentile is the value where half of the values will be below and half will be above. It is called the median.

• The 50th percentile and the average are different meassures.

Example:

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2, 3, 5, 9, 11

50th percentile=5 Average=6

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CCDF Form with Confidence Intervals

1.E-4

1.E-7

1.E-6

1.E-5

qu

en

cy o

f E

xcee

dan

ce

(/R

Y)

HSK/ERI Mean

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1.E-9

1.E-8

1.E+4 1.E+5 1.E+6 1.E+7 1.E+8

Population Dose to 800 km (Person-Rem)

Fre

q HSK/ERI 5th Percentile

HSK/ERI 50th Percentile

HSK/ERI 95th Percentile

Further Damage Parameters- Individual Death Risk

1.E-4HSK/ERI Mean

HSK/ERI 5th Percentile

1.E-7

1.E-6

1.E-5

qu

ency

of

Exc

eed

ance

(/R

Y)

HSK/ERI 5th Percentile

HSK/ERI 50th Percentile

HSK/ERI 95th Percentile

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1.E-9

1.E-8

1.E-6 1.E-5 1.E-4 1.E-3 1.E-2

Individual Risk of Death

Fre

q

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Contaminated Area1.E-4

Y)

HSK/ERI Mean

HSK/ERI 5th Percentile

1.E-7

1.E-6

req

un

ecy

of

Exc

eed

ance

(/R

Y

HSK/ERI 50th Percentile

HSK/ERI 95th Percentile

1.E-5

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Contaminated Area (ha)

1.E-9

1.E-8

1.E+2 1.E+3 1.E+4 1.E+5 1.E+7

Fr

1.E+6

More risk representation: examples from a LSA case study• Objective of the case study: Assessment of a virtual, dangerous

cargo mission to the effect of minimising the risks to thecargo mission to the effect of minimising the risks to the environment and the population, that may be entailed by an unplanned, on-route release-off-containment of the substance.

• Use of LSA software toolkit.

• Cargo mission: Carry a cargo consisting of 28000 kg of Vinyl Chloride (VCL) between delivery base Basel-East (Pratteln) Railway Station and destination - Zurich Central Cargo Railway

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Railway Station and destination - Zurich Central, Cargo Railway Station.

• VCL: Colourless, flammable and toxic gas.

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Route selection (1/2)

• ROUTE #1 starts at Basel East and continues via Pratteln, Liestal, Sissach Thurnen Olten Aarau Lenzburg through Baden South-Sissach, Thurnen, Olten, Aarau, Lenzburg, through Baden South-Dietikon tunnel to Zurich Central Cargo.

• ROUTE #2 goes from Basel East to Pratteln, and continues along the Northern Swiss border via Rheinfelden, Laufenburg, Zurzach, Eglisau-West, to turn South via Bulach, go West of Zurich International Airport and enter Zurich to join the destination.

• ROUTE #3 shares with Route #2 the segment Basel-East to the j ti S th f th G it f B d S ki Th it d t

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junction South of the German city of Bad-Sackingen. Then it departs via Frick, Brugg, Baden, and joins Route #1 at the Eastern exit of the Dietikon tunnel to continue down to the destination.

• Route selection based on 245 risk related criteria (like topometric data, minimum peak population density encountered etc.).

• Result: Route #3 is the preferred route.

Route selection (2/2)

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Impact areas (1/2)

• Definition based on

I di t l D f Lif d H lth Li it (IDLH)• Immediately Dangerous for Life and Health Limit (IDLH)

• Threshold Limit Value (TLV)

• Short Term Exposure Limit (STEL)

• Emergency Response Planning Guidelines (ERPG)

• Expected Lethality Percentages calculated via Probit functions

• Circular Risk Areas (CRA) for the BLEVE (see figure)

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Circular Risk Areas (CRA) for the BLEVE (see figure)

Impact areas (2/2)

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Dispersion model

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Impact area based on IDLH Concentration Profile

Atmospheric dispersion in complex terrain

Influence of urban environment featuring sharp obstacles on the dispersiondispersion

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Spill into a river

Derailment of a rail tanker on the Rhine-crossing bridge as the train leaves the dispatching sta-tion Basel-East. The tank wagon is supposed to have being pierced in several places duringsupposed to have being pierced in several places during derailment, falling into the river and settling at the river bottom shortly after the fall, down to the bridge.

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Spill into a lake

Instantaneous discharge of 14000 kg VCL in the Lake of Zurich, from the shore shuntyard of an industrial facility there, that is supposed to having been supplied fromsupposed to having been supplied from.

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Ground water contamination

• Contamination in the ground water table.

• Pollutant concentration in tap water wells• Pollutant concentration in tap water wells

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http://www.lsa.ethz.ch/education/vorl

Course material:

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p

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Including the model uncertainties increases variance significantly

Sub modulus Number of occurring model parameters

Number of parameters regarded in themodel parameters regarded in the uncertainty analysis

Atmospheric dispersion

28 24

Food chain model 162 35

Dose conversion 159 100

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Dose conversion factors

159 100

Model for health effects

27 27

Overall analysis 376 186