Abstract
A practical modelling approach for assessing cascading
effects of critical infrastructures (CIs) is presented.
The overall objective in the modelling is to specify
threats and dependencies leading to the cascading effects
of identified CIs. The threats are presented as threat
functions describing the expected level of intensity of
threats at a certain time and location. The dependencies
are presented in interdependency tables stating the rules
of CI dependencies. The predicted cascading effects are
set on a timeline in order to create a common picture of
the situation. The timeline can be used to understand the
incident evolution and to mitigate the consequences.
For the modelling approach two initial requirements were
set. The modelling approach should be versatile to be
used in different accident scenarios implementing
information from different kinds of threat functions. It
should be scalable in the level of detail so that the
spatial modelling of the accident scenario concurs with
the overall assessment objectives.
In an accident scenario, the overall assessment objective
is often two-fold. It can be the crisis management during
the accident, or it can be the accident recovery to
normal life with functioning CIs. In the crisis
management during the accident, the main focus is in the
short-term operations trying to minimize the injury of
people and the damage to the environment and property. In
the accident recovery, the focus is more in the long-term
operations trying to repair the subsequent damages. The
two overall objectives are of course overlapping and
their actual difference is in the time span of the
operations.
The modelling approach was developed using a flooding
scenario in a densely populated area as an example. The
crisis management during the accident was chosen as the
overall assessment objective. An accident scenario map,
locating the initiating events and CIs, was defined and a
hexagonal grid was laid on the map. The relevant CIs for
each hex were identified, and their interdependencies and
vulnerabilities were defined in the model. A reference
point was chosen for each hex. The threat function
results on the reference point were then applied to all
CIs in the hex. The threat function describing the
expected level of water in the different locations of the
polder area at a certain time was provided by a separate
modelling tool. The initial failure times (i.e. not
considering the interdependencies) of the CIs were
determined. The final failure times were determined
taking into account the interdependencies between the
CIs, and the cascading effects were assessed.
The modelling approach results are best utilized in the
preparedness and training phase of crisis management. It
gives guidance for the planning of emergency response by
revealing the CIs that are important to protect in order
to prevent or mitigate the escalation of the accident.
The failure times can be compared with the estimated
response times to evaluate the feasibility of different
accident responses and what kind of impact the responses
can have to the overall accident sequence.
Original language | English |
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Title of host publication | SRA Nordic 2017 Abstracst |
Publisher | Aalto University |
Publication status | Published - 2017 |
MoE publication type | Not Eligible |
Event | Society for Risk Analysis (SRA) Nordic Chapter Conference, RISK 2017 - Espoo, Finland Duration: 2 Nov 2017 → 3 Nov 2017 https://blogs.aalto.fi/risk2017/ (Web page) |
Conference
Conference | Society for Risk Analysis (SRA) Nordic Chapter Conference, RISK 2017 |
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Abbreviated title | RISK 2017 |
Country/Territory | Finland |
City | Espoo |
Period | 2/11/17 → 3/11/17 |
Internet address |
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Keywords
- risk assessment
- cascading effects
- critical infrastructures
- crisis management
- failure times