Developing a large-scale dataset of flood fatalities for territories in the Euro-Mediterranean region, FFEM-DB

0556870 - ÚVGZ 2023 RIV GB eng J - Článek v odborném periodiku
Papagiannaki, K. - Petrucci, O. - Diakakis, M. - Kotroni, V. - Aceto, L. - Bianchi, C. - Brázdil, Rudolf - Gelabert, M. - Inbar, M. - Kahraman, A. - Kılıç, Ö. - Krahn, A. - Kreibich, H. - Llasat, M. C. - Llasat-Botija, M. - Macdonald, N. - de Brito, M. - Mercuri, M. - Pereira, S. - Řehoř, Jan - Geli, J. R. - Salvati, P. - Vinet, F. - Zêzere, J. L.
Developing a large-scale dataset of flood fatalities for territories in the Euro-Mediterranean region, FFEM-DB.
Scientific Data. Roč. 9, č. 1 (2022), č. článku 166. E-ISSN 2052-4463
Výzkumná infrastruktura: CzeCOS III - 90123
Institucionální podpora: RVO:86652079
Klíčová slova: heavy precipitation event * flash-flood * september 2002 * landslide * disaster * database * exposure * impacts * france * health
Obor OECD: Meteorology and atmospheric sciences
Impakt faktor: 9.8, rok: 2022
Způsob publikování: Open access
https://www.nature.com/articles/s41597-022-01273-x

This data paper describes the multinational Database of Flood Fatalities from the Euro-Mediterranean region FFEM-DB that hosts data of 2,875 flood fatalities from 12 territories (nine of which represent entire countries) in Europe and the broader Mediterranean region from 1980 to 2020. The FFEM-DB database provides data on fatalities' profiles, location, and contributing circumstances, allowing researchers and flood risk managers to explore demographic, behavioral, and situational factors, as well as environmental features of flood-related mortality. The standardized data collection and classification methodology enable comparison between regions beyond administrative boundaries. The FFEM-DB is expandable, regularly updated, publicly available, and with anonymized data. The key advantages of the FFEM-DB compared to existing datasets containing flood fatalities are its high level of detail, data accuracy, record completeness, and the large sample size from an extended area.
Trvalý link: http://hdl.handle.net/11104/0330984