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| Titel |
A model for assessing the systemic vulnerability in landslide prone areas |
| VerfasserIn |
S. Pascale, F. Sdao, A. Sole |
| 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 ; 10, no. 7 ; Nr. 10, no. 7 (2010-07-16), S.1575-1590 |
| Datensatznummer |
250008314
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| Publikation (Nr.) |
 copernicus.org/nhess-10-1575-2010.pdf |
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| Zusammenfassung |
The objectives of spatial planning should include the definition and
assessment of possible mitigation strategies regarding the effects of natural
hazards on the surrounding territory. Unfortunately, however, there is often
a lack of adequate tools to provide necessary support to the local bodies
responsible for land management. This paper deals with the conception, the
development and the validation of an integrated numerical model for assessing
systemic vulnerability in complex and urbanized landslide-prone areas. The
proposed model considers this vulnerability not as a characteristic of a
particular element at risk, but as a peculiarity of a complex territorial
system, in which the elements are reciprocally linked in a functional way. It
is an index of the tendency of a given territorial element to suffer damage
(usually of a functional kind) due to its interconnections with other
elements of the same territorial system. The innovative nature of this work
also lies in the formalization of a procedure based on a network of
influences for an adequate assessment of such "systemic" vulnerability.
This approach can be used to obtain information which is useful, in any given
situation of a territory hit by a landslide event, for the identification of
the element which has suffered the most functional damage, ie the most
"critical" element and the element which has the greatest repercussions on
other elements of the system and thus a "decisive" role in the management
of the emergency.
This model was developed within a GIS system through the following phases:
1. the topological characterization of the territorial system studied and the
assessment of the scenarios in terms of spatial landslide hazard. A
statistical method, based on neural networks was proposed for the assessment
of landslide hazard;
2. the analysis of the direct consequences of a scenario event on the system;
3. the definition of the assessment model of systemic vulnerability in
landslide-prone areas.
To highlight the potentialities of the proposed approach we have described a
specific case study of landslide hazard in the local council area of Potenza. |
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