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Advisor(s)
Abstract(s)
This study offers a semi-quantitative assessment
of the physical vulnerability of buildings to landslides in a
Portuguese municipality (Loures), as well as the quantitative
landslide risk analysis computed as the product of the
landslide hazard by the vulnerability and the economic value
of the buildings. The hazard was assessed by combining the
spatiotemporal probability and the frequency–magnitude relationship
of the landslides. The physical vulnerability assessment
was based on an inquiry of a pool of European landslide
experts and a sub-pool of landslide experts who know
the study area, and the answers’ variability was assessed with
standard deviation. The average vulnerability of the basic geographic
entities was compared by changing the map unit
and applying the vulnerability to all the buildings of a test
site, the inventory of which was listed on the field. The economic
value was calculated using an adaptation of the Portuguese
Tax Services approach, and the risk was computed
for different landslide magnitudes and different spatiotemporal
probabilities. As a rule, the vulnerability values given by
the sub-pool of experts who know the study area are higher
than those given by the European experts, namely for the
high-magnitude landslides. The obtained vulnerabilities vary
from 0.2 to 1 as a function of the structural building types and
the landslide magnitude, and are maximal for 10 and 20m
landslide depths. However, the highest risk was found for the
landslides that are 3m deep, because these landslides combine
a relatively high frequency in the Loures municipality
with a substantial potential damage.
Description
Keywords
physical vulnerability of buildings Landslides Loures Portugal
Pedagogical Context
Citation
Guillard-Gonçalves, C., Zêzere, J. L., Pereira, S., & Garcia, R. A. C. (2016). Assessment of physical vulnerability of buildings and analysis of landslide risk at the municipal scale: application to the Loures municipality, Portugal. Nat. Hazards Earth Syst. Sci., 16, 311-331. https://doi.org/10.5194/nhess-16-311-2016, 2016
Publisher
Copernicus Publications