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| Titel |
Enhancement of global flood damage assessments using building material based vulnerability curves |
| VerfasserIn |
Johanna Englhardt, Marleen de Ruiter, Hans de Moel, Jeroen Aerts |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250137889
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| Publikation (Nr.) |
 EGU/EGU2017-756.pdf |
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| Zusammenfassung |
| This study discusses the development of an enhanced approach for flood damage and
risk assessments using vulnerability curves that are based on building material
information. The approach draws upon common practices in earthquake vulnerability
assessments, and is an alternative for land-use or building occupancy approach in flood risk
assessment models. The approach is of particular importance for studies where there
is a large variation in building material, such as large scale studies or studies in
developing countries. A case study of Ethiopia is used to demonstrate the impact
of the different methodological approaches on direct damage assessments due to
flooding.
Generally, flood damage assessments use damage curves for different land-use or
occupancy types (i.e. urban or residential and commercial classes). However, these categories
do not necessarily relate directly to vulnerability of damage by flood waters. For this,
the construction type and building material may be more important, as is used in
earthquake risk assessments. For this study, we use building material classification
data of the PAGER1 project to define new building material based vulnerability
classes for flood damage. This approach will be compared to the widely applied
land-use based vulnerability curves such as used by De Moel et al. (2011). The case of
Ethiopia demonstrates and compares the feasibility of this novel flood vulnerability
method on a country level which holds the potential to be scaled up to a global
level.
The study shows that flood vulnerability based on building material also allows for better
differentiation between flood damage in urban and rural settings, opening doors to better link
to poverty studies when such exposure data is available. Furthermore, this new approach
paves the road to the enhancement of multi-risk assessments as the method enables the
comparison of vulnerability across different natural hazard types that also use material-based
vulnerability curves. Finally, this approach allows for more accuracy in estimating losses as a
result of direct damages.
1 http://earthquake.usgs.gov/data/pager/ |
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