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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Main Authors: De Angeli Silvia, Dell’Acqua Fabio, Trasforini Eva
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:E3S Web of Conferences
Online Access:http://dx.doi.org/10.1051/e3sconf/20160705001
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spelling 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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