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Gewählte Diplomarbeit / Masterarbeit:

Giulia Cristofari (2017): Using indicators to assess vulnerability: application of the PTVA model in southern Italy.
Diplomarbeit / Masterarbeit - Institut für Alpine Naturgefahren (IAN), BOKU-Universität für Bodenkultur, pp 127. UB BOKU obvsg

Datenquelle: ZID Abstracts
The built environment is susceptible to damage caused by extreme natural hazards. The population growth forces the cities to expand even in hazardous areas that should be avoided such as floodplains and coastal areas susceptible to tsunamis, storm surge, coastal erosion and sea level change. This results in an increase of the exposure of the urban environment to natural hazards. The 2004 Indian Ocean tsunami and the 2011 Tohoku tsunami caused 228 thousand and 16 thousand deaths respectively. High concentration of people in the coastal zone, lack of early warning but also a highly vulnerable environment (poor housing) together with the high intensity of the event itself were responsible for the devastation. Abandoning coastal region is, though, mostly not possible due to social and economical reasons. For this reason, as far as tsunamis are concerned, it is important to study the vulnerability of the built environment in the coastal areas. This thesis deals with indicator based vulnerability assessment methods with a focus on the PTVA (Papathoma Tsunami Vulnerability Assessment) method. The choice of applying an indicator vulnerability assessment method instead of the more common vulnerability curves is due to lack of recent events in the case study area. A case study area in Southern Italy, Apulia, has been chosen to carry out the indicator-based methodology. The area has experienced tsunamis in the past, but there are no damage records of recent events. The data necessary to calculate the vulnerability of the buildings have been collected by a field survey and the data have been used for applying the two latest versions of the model, that have been, in a second moment, compared. This study highlights the usefulness of using indicators for the assessment of the vulnerability of buildings and shows how the results may be used by decision makers to identify the most vulnerable areas, the best evacuation routes and the safest areas.

Beurteilende(r): Fuchs Sven
1.Mitwirkender: Papathoma-Köhle Maria

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