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| Titel |
Spatial vulnerability units – expert-based spatial modelling of socio-economic vulnerability in the Salzach catchment, Austria |
| VerfasserIn |
S. Kienberger, S. Lang, P. Zeil |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 9, no. 3 ; Nr. 9, no. 3 (2009-05-19), S.767-778 |
| Datensatznummer |
250006784
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| Publikation (Nr.) |
 copernicus.org/nhess-9-767-2009.pdf |
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| Zusammenfassung |
| The assessment of vulnerability has moved to centre-stage of the debate
between different scientific disciplines related to climate change and
disaster risk management. Composed by a combination of social, economical,
physical and environmental factors the assessment implies combining
different domains as well as quantitative with qualitative data and makes it
therefore a challenge to identify an integrated metric for vulnerability. In
this paper we define vulnerability in the context of climate change,
targeting the hazard "flood". The developed methodology is being tested in
the Salzach river catchment in Austria, which is largely prone to floods.
The proposed methodology allows the spatial quantification of vulnerability
and the identification of vulnerability units. These units build upon the
geon concept which acts as a framework for the regionalization of continuous
spatial information according to defined parameters of homogeneity. Using
geons, we are capable of transforming singular domains of information on
specific systemic components to policy-relevant, conditioned information.
Considering the fact that vulnerability is not directly measurable and due
to its complex dimension and social construction an expert-based approach
has been chosen. Established methodologies such as Multicriteria Decision
Analysis, Delphi exercises and regionalization approaches are being
integrated. The method not only enables the assessment of vulnerability
independent from administrative boundaries, but also applies an aggregation
mode which reflects homogenous vulnerability units. This supports decision
makers to reflect on complex issues such as vulnerability. Next to that, the
advantage is to decompose the units to their underlying domains. Feedback
from disaster management experts indicates that the approach helps to
improve the design of measures aimed at strengthening preparedness and
mitigation. From this point of view, we reach a step closer towards
validation of the proposed method, comprising critical user-oriented aspects
like adequateness, practicability and usability of the provided results in
general. |
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