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  European exposure data for BN-FLEMO models

Steinhausen, M., Schröter, K., Lüdtke, S., Drews, M. (2020): European exposure data for BN-FLEMO models.
https://doi.org/10.5880/GFZ.4.4.2020.001

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Genre: Data Publication
Other : V. 1.0

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Locator:
https://doi.org/10.1029/2019WR026213 (Supplementary material)
Description:
Supplement to Lüdtke, S. et al. (2019)

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 Creators:
Steinhausen, Max1, Author              
Schröter, Kai1, Author              
Lüdtke, Stefan1, Author              
Drews, Martin2, Author
Affiliations:
14.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146048              
2External Organizations, ou_persistent22              

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Free keywords: safety > risk assessment, safety > risk assessment > disaster preparedness, services > insurance, hydrosphere > hydrologic cycle > flood, safety > risk assessment > risk exposure, hazard, physical process > exposure, asset, exposure, Europe, residential, commercial, buildings, Historic flood, Flood experience, Open Street Maps
 Abstract: The European exposure data for BN-FLEMO models contains three datasets that can be used with BN-FLEMO models for the estimation of flood loss. The dataset contains: (1) European asset map with unit area values of residential and commercial buildings in EURO per square meter based on reconstruction cost and NUTS-3 regions or national GDP per capita. The values are mapped on CORINE land cover classes for urban areas (111 and 112). (2) Residential building areas in Europe with building area sizes in square meter for each NUTS-3 region. The building area sizes were calculated based on the building geometries extracted from the OSM database. (3) Flood experience in Europe with geometries of historic flood events (1985- 2015) with start date of the events. This dataset can be used to calculate the number of past flood events in an area.

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Language(s): eng - English
 Dates: 2020
 Publication Status: Finally published
 Pages: -
 Publishing info: Potsdam : GFZ Data Services
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.5880/GFZ.4.4.2020.001
 Degree: -

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