Examples Flashcards

1
Q

Examples of Transition risks

A

Technology lags in developing countries
Changes to capacity and reliability
Skills availabilities
Decrease in markets value or share
Reputation risks
Legal risk
policy risk

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2
Q

3 limitations of ISO 31000

A
  • not designed for complex systems
  • focuses on moderate complexity
  • Quest for comprehensiveness is unattainable
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3
Q

6 techniques for identifying risks

A
  1. Data based - historical analysis and lit review
  2. Expert based - brainstorming and interviews
  3. Model based - physical testing (in lab) and numerical modelling
  4. Divide system into smaller parts
  5. Encourage imaginative thinking
  6. Checklist, classification and taxonomies
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4
Q

6 techniques for analysing risk

A
  1. Event Tree Analysis: graphical flow of events and associated probabilities
  2. Fault tree analysis: Starts with fault and looks at what could lead to it
  3. Bow Tie Analysis:
    Hazards to event (FTA) then event to consequences (ETA)
  4. Influence diagrams and bayesian networks
  5. markov models
  6. monte carlo simulations / general simulations
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5
Q

5 Techniques for evaluating risk significance and acceptability

A
  1. ALARP
  2. Risk Indices (Overall scores, i.e., bushfire scores)
  3. Risk bearing capacity
  4. Cost/benefit analysis
  5. Globally at least equivalent (increase and decrease in risks from an action are even)
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6
Q

4 Techniques for selecting between options

A
  1. Cost benefit
  2. Decision Tree
  3. Multi-criteria analysis
  4. Game Theory
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7
Q

4 techniques to report risks

A
  1. Risk register
  2. Consequence/likelihood matrix
  3. S-curves
  4. Bow-tie diagrams
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8
Q

Give examples of paleo climate evidence

A

Tree rings
ice cores
ocean sediment

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9
Q

List examples of contextual factors for risk (5 options)

A
  1. imposed or voluntary risk?
  2. natural or man-made?
  3. by whom is the risk run?
  4. balance & distribution of benefits and risks
  5. Availability of alternatives
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10
Q

List examples of methods that can be used for risk assessments of highly complex issues

A
  • climate model ensembles
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11
Q

What should be considered when using classification?

A

Benefits: reduces complexity, can increase understanding, make communication easier, help identify similarities and differences

Limits: May be convenient but not always true, categories are static, can be too big or small to be helpful

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12
Q

Discuss the limitation of climate models (3)

A
  • very complex with assumptions and hypotheses
  • temperature mechanism well understood, water less so
  • resolution and representation in GCM does not align with systems to which it is applied
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13
Q

Difference between weather and climate models in term of four each categories

A

Time: Weather is daily, climate is long term
Simulation length: Weather is short, climate is long
Source of uncertainty: Initial conditions for weather, boundary conditions for climate
Resolution: High for weather, low for climate

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14
Q

Difference between integrated assessment models and GCMs

A

IAMs: combine the main aspects of the economy and society with the biosphere and atmosphere.

GCMs: focus on biosphere and atmosphere

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15
Q

Given examples of downscaling methods

A
  • Change factor method
  • statistical downscaling
  • dynamical downscaling
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16
Q

Why do we downscale?

A
  • transform data to smaller spatial scale
  • captures local influences
  • fits stakeholder smaller spatial focus
17
Q

Considerations for selecting a baseline

A

ANS

18
Q

What is the goal of model building?

A

ANS

19
Q

List properties of a resilient system

A
  • latitude
  • resistance
  • precariousness
  • panarchy
20
Q

Where can legally binding rules for risk assessments be found?

A

ISO 31010

21
Q

Limitations of the frequentist approach

A
  • cannot always complete repeat experiments
  • lots of subject parts to a problem framing
  • only applies to probability of random process