Improving flood impact estimations
A reliable estimation of flood impacts enables meaningful flood risk management and rapid assessments of flood impacts shortly after a flood. The flood in 2021 in Central Europe and the analysis of its impacts revealed that these estimations are still inadequate. Therefore, we investigate the influe...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2022-01-01
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| Series: | Environmental Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1748-9326/ac6d6c |
| _version_ | 1797746933081571328 |
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| author | Tobias Sieg Annegret H Thieken |
| author_facet | Tobias Sieg Annegret H Thieken |
| author_sort | Tobias Sieg |
| collection | DOAJ |
| description | A reliable estimation of flood impacts enables meaningful flood risk management and rapid assessments of flood impacts shortly after a flood. The flood in 2021 in Central Europe and the analysis of its impacts revealed that these estimations are still inadequate. Therefore, we investigate the influence of different data sets and methods aiming to improve flood impact estimates. We estimated economic flood impacts to private households and companies for a flood event in 2013 in Germany using (a) two different flood maps, (b) two approaches to map exposed objects based on OpenStreetMap and the Basic European Asset Map, (c) two different approaches to estimate asset values, and (d) tree-based models and Stage-Damage-Functions to describe the vulnerability. At the macro scale, water masks lead to reasonable impact estimations. At the micro and meso-scale, the identification of affected objects by means of water masks is insufficient leading to unreliable estimations. The choice of exposure data sets is most influential on the estimations. We find that reliable impact estimations are feasible with reported numbers of flood-affected objects from the municipalities. We conclude that more effort should be put in the investigation of different exposure data sets and the estimation of asset values. Furthermore, we recommend the establishment of a reporting system in the municipalities for a fast identification of flood-affected objects shortly after an event. |
| first_indexed | 2024-03-12T15:43:55Z |
| format | Article |
| id | doaj.art-3d6d3bc13d13448d91e52df2f0e7ec85 |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T15:43:55Z |
| publishDate | 2022-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj.art-3d6d3bc13d13448d91e52df2f0e7ec852023-08-09T15:31:48ZengIOP PublishingEnvironmental Research Letters1748-93262022-01-0117606400710.1088/1748-9326/ac6d6cImproving flood impact estimationsTobias Sieg0https://orcid.org/0000-0003-3859-9082Annegret H Thieken1Institute of Environmental Science and Geography, University of Potsdam , Potsdam, Germany; Section Hydrology, GFZ German Research Centre for Geosciences, Potsdam , GermanyInstitute of Environmental Science and Geography, University of Potsdam , Potsdam, GermanyA reliable estimation of flood impacts enables meaningful flood risk management and rapid assessments of flood impacts shortly after a flood. The flood in 2021 in Central Europe and the analysis of its impacts revealed that these estimations are still inadequate. Therefore, we investigate the influence of different data sets and methods aiming to improve flood impact estimates. We estimated economic flood impacts to private households and companies for a flood event in 2013 in Germany using (a) two different flood maps, (b) two approaches to map exposed objects based on OpenStreetMap and the Basic European Asset Map, (c) two different approaches to estimate asset values, and (d) tree-based models and Stage-Damage-Functions to describe the vulnerability. At the macro scale, water masks lead to reasonable impact estimations. At the micro and meso-scale, the identification of affected objects by means of water masks is insufficient leading to unreliable estimations. The choice of exposure data sets is most influential on the estimations. We find that reliable impact estimations are feasible with reported numbers of flood-affected objects from the municipalities. We conclude that more effort should be put in the investigation of different exposure data sets and the estimation of asset values. Furthermore, we recommend the establishment of a reporting system in the municipalities for a fast identification of flood-affected objects shortly after an event.https://doi.org/10.1088/1748-9326/ac6d6crapid impact assessmentfloodsOpenStreetMapflood risk managementnatural hazards |
| spellingShingle | Tobias Sieg Annegret H Thieken Improving flood impact estimations Environmental Research Letters rapid impact assessment floods OpenStreetMap flood risk management natural hazards |
| title | Improving flood impact estimations |
| title_full | Improving flood impact estimations |
| title_fullStr | Improving flood impact estimations |
| title_full_unstemmed | Improving flood impact estimations |
| title_short | Improving flood impact estimations |
| title_sort | improving flood impact estimations |
| topic | rapid impact assessment floods OpenStreetMap flood risk management natural hazards |
| url | https://doi.org/10.1088/1748-9326/ac6d6c |
| work_keys_str_mv | AT tobiassieg improvingfloodimpactestimations AT annegreththieken improvingfloodimpactestimations |