Application of an Earth-Observation-based building exposure mapping tool for flood damage assessment
Detection and characterization of territorial elements exposed to flood is a key component for flood risk analysis. Land-use description works well for small scales of representation but it becomes too coarse while increasing the scale. “Single-element” characterization is usually achieved through s...
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2016-01-01
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Online Access: | http://dx.doi.org/10.1051/e3sconf/20160705001 |
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doaj-949b307180744b5fa7afe2d26ea4ab2b2021-02-02T07:43:01ZengEDP SciencesE3S Web of Conferences2267-12422016-01-0170500110.1051/e3sconf/20160705001e3sconf_flood2016_05001Application of an Earth-Observation-based building exposure mapping tool for flood damage assessmentDe Angeli SilviaDell’Acqua Fabio0Trasforini Eva1Dept. ECBE, University of PaviaCIMA Research FoundationDetection and characterization of territorial elements exposed to flood is a key component for flood risk analysis. Land-use description works well for small scales of representation but it becomes too coarse while increasing the scale. “Single-element” characterization is usually achieved through surveys, which become prohibitive as the amount of elements to be characterized increases. Mapping schemes represent a compromise between level of description and efforts for data collection. The basic idea is to determine the statistical distribution of building characteristics inside a homogeneous class starting from a sample area and to apply this distribution to the whole area, realizing a statistical extrapolation. An innovative approach was developed, merging the mapping scheme methodologies developed by the Global Earthquake Model [1] and Blanco–Vogt and Schanze [2], in which homogeneous classes are not development areas but building clusters. The approach was applied to the buildings in the Bisagno River floodplain, Genoa (Italy). Buildings were classified according to a building taxonomy. Once the percentage of basement presence was assigned to each class by surveying a limited subset of the exposed assets, a series of possible basement distributions was simulated to calculate the corresponding damage distributions for a real flood event. The total average damage obtained is very close to the refund claims, with a percentage error lower than 2%.http://dx.doi.org/10.1051/e3sconf/20160705001 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
De Angeli Silvia Dell’Acqua Fabio Trasforini Eva |
spellingShingle |
De Angeli Silvia Dell’Acqua Fabio Trasforini Eva Application of an Earth-Observation-based building exposure mapping tool for flood damage assessment E3S Web of Conferences |
author_facet |
De Angeli Silvia Dell’Acqua Fabio Trasforini Eva |
author_sort |
De Angeli Silvia |
title |
Application of an Earth-Observation-based building exposure mapping tool for flood damage assessment |
title_short |
Application of an Earth-Observation-based building exposure mapping tool for flood damage assessment |
title_full |
Application of an Earth-Observation-based building exposure mapping tool for flood damage assessment |
title_fullStr |
Application of an Earth-Observation-based building exposure mapping tool for flood damage assessment |
title_full_unstemmed |
Application of an Earth-Observation-based building exposure mapping tool for flood damage assessment |
title_sort |
application of an earth-observation-based building exposure mapping tool for flood damage assessment |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2016-01-01 |
description |
Detection and characterization of territorial elements exposed to flood is a key component for flood risk analysis. Land-use description works well for small scales of representation but it becomes too coarse while increasing the scale. “Single-element” characterization is usually achieved through surveys, which become prohibitive as the amount of elements to be characterized increases. Mapping schemes represent a compromise between level of description and efforts for data collection. The basic idea is to determine the statistical distribution of building characteristics inside a homogeneous class starting from a sample area and to apply this distribution to the whole area, realizing a statistical extrapolation. An innovative approach was developed, merging the mapping scheme methodologies developed by the Global Earthquake Model [1] and Blanco–Vogt and Schanze [2], in which homogeneous classes are not development areas but building clusters. The approach was applied to the buildings in the Bisagno River floodplain, Genoa (Italy). Buildings were classified according to a building taxonomy. Once the percentage of basement presence was assigned to each class by surveying a limited subset of the exposed assets, a series of possible basement distributions was simulated to calculate the corresponding damage distributions for a real flood event. The total average damage obtained is very close to the refund claims, with a percentage error lower than 2%. |
url |
http://dx.doi.org/10.1051/e3sconf/20160705001 |
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