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| Titel |
Regionalisation of asset values for risk analyses |
| VerfasserIn |
A. H. Thieken, M. Müller, L. Kleist, I. Seifert, D. Borst, U. Werner |
| 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 ; 6, no. 2 ; Nr. 6, no. 2 (2006-03-15), S.167-178 |
| Datensatznummer |
250003395
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| Publikation (Nr.) |
 copernicus.org/nhess-6-167-2006.pdf |
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| Zusammenfassung |
| In risk analysis there is a spatial mismatch of hazard data that are
commonly modelled on an explicit raster level and exposure data that are
often only available for aggregated units, e.g. communities. Dasymetric
mapping techniques that use ancillary information to disaggregate data
within a spatial unit help to bridge this gap. This paper presents
dasymetric maps showing the population density and a unit value of
residential assets for whole Germany. A dasymetric mapping approach, which
uses land cover data (CORINE Land Cover) as ancillary variable, was adapted
and applied to regionalize aggregated census data that are provided for all
communities in Germany. The results were validated by two approaches. First,
it was ascertained whether population data disaggregated at the community
level can be used to estimate population in postcodes. Secondly,
disaggregated population and asset data were used for a loss evaluation of
two flood events that occurred in 1999 and 2002, respectively. It must be
concluded that the algorithm tends to underestimate the population in urban
areas and to overestimate population in other land cover classes.
Nevertheless, flood loss evaluations demonstrate that the approach is
capable of providing realistic estimates of the number of exposed people and
assets. Thus, the maps are sufficient for applications in large-scale risk
assessments such as the estimation of population and assets exposed to
natural and man-made hazards. |
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