Figure 1.2: Propagation of uncertainties from input data to the results of landslide vulnerability
modelling.
public and private organisations. The inventory
was used to develop vulnerability curves, in
which the vulnerability was defined as the ratio
between loss of an element due to a landslide of
a given type and magnitude and the value of the
element. Careful data collection of present and
future landslide damages is required to update
vulnerability models developed from previous
data (Papathoma- Köhle et al. 2017; Papathoma-
Köhle et al. 2015). Advances in remote sensing
technologies allow remotely sensed data to be
obtained at a fine resolution. This has permitted
the elaboration of more precise hazard models
with up-to-date information on infrastructure
and socio-economic activity (Bendimerad 2001;
Remondo et al. 2008).
the uncertainties associated with the estimations
are large. The risk assessment consists of three
fundamental aspects i.e. hazard, elements at
risk and their vulnerability. In order to perform a
probabilistic risk assessment, the uncertainty in
all these three components needs to be assessed
(Eidsvig et al. 2014). Uncertainty in vulnerability
can stem from input data, models or procedures,
and outputs, depending on the stage of
vulnerability assessment. Input to a vulnerability
model can be qualitative (described with words),
semi-quantitative (ranked on a relative scale
and also denoted categorically) or quantitative
(described as a dimensionless number between
0 and 1).
Determination of Critical Infrastructure
Issues on Input Data for Vulnerability and Risk
Assessments
There are also issues on landslide vulnerability
and risk assessment uncer tainties. The
quantification of such uncertainties provides
important information to stakeholders to support
cost-benefit analyses of mitigation measures
(Eidsvig et al. 2014). For example, a scenario with
low potential losses should not be overlooked if
Determination of the critical infrastructure or
elements-at-risk requires field investigation and
definition of their important characteristics. The
critical infrastructures can be grouped into:
1. Residential Areas;
2. Buildings;
3. Roads;
4. Power lines;
5. Dams;
31