Articles | Volume 21, issue 2
https://doi.org/10.5194/nhess-21-643-2021
https://doi.org/10.5194/nhess-21-643-2021
Research article
 | 
16 Feb 2021
Research article |  | 16 Feb 2021

Are OpenStreetMap building data useful for flood vulnerability modelling?

Marco Cerri, Max Steinhausen, Heidi Kreibich, and Kai Schröter

Related authors

Assessing the impact of early warning and evacuation on human losses during the 2021 Ahr Valley flood in Germany using agent-based modelling
André Felipe Rocha Silva, Julian Cardoso Eleutério, Heiko Apel, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-183,https://doi.org/10.5194/nhess-2024-183, 2024
Preprint under review for NHESS
Short summary
Merging modelled and reported flood impacts in Europe in a combined flood event catalogue for 1950–2020
Dominik Paprotny, Belinda Rhein, Michalis I. Vousdoukas, Paweł Terefenko, Francesco Dottori, Simon Treu, Jakub Śledziowski, Luc Feyen, and Heidi Kreibich
Hydrol. Earth Syst. Sci., 28, 3983–4010, https://doi.org/10.5194/hess-28-3983-2024,https://doi.org/10.5194/hess-28-3983-2024, 2024
Short summary
Exploring the use of seasonal forecasts to adapt flood insurance premiums
Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Botzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 24, 2923–2937, https://doi.org/10.5194/nhess-24-2923-2024,https://doi.org/10.5194/nhess-24-2923-2024, 2024
Short summary
Content Analysis of Multi-Annual Time Series of Flood-Related Twitter (X) Data
Nadja Veigel, Heidi Kreibich, Jens A. de Bruijn, Jeroen C. J. H. Aerts, and Andrea Cominola
EGUsphere, https://doi.org/10.5194/egusphere-2024-2556,https://doi.org/10.5194/egusphere-2024-2556, 2024
Short summary
Invited perspectives: Fostering interoperability of data, models, communication and governance for disaster resilience through transdisciplinary knowledge co-production
Kai Schröter, Pia-Johanna Schweizer, Benedikt Gräler, Lydia Cumiskey, Sukaina Bharwani, Janne Parviainen, Chahan Kropf, Viktor Wattin Hakansson, Martin Drews, Tracy Irvine, Clarissa Dondi, Heiko Apel, Jana Löhrlein, Stefan Hochrainer-Stigler, Stefano Bagli, Levente Huszti, Christopher Genillard, Silvia Unguendoli, and Max Steinhausen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-135,https://doi.org/10.5194/nhess-2024-135, 2024
Preprint under review for NHESS
Short summary

Related subject area

Risk Assessment, Mitigation and Adaptation Strategies, Socioeconomic and Management Aspects
Development of a regionally consistent and fully probabilistic earthquake risk model for Central Asia
Mario A. Salgado-Gálvez, Mario Ordaz, Benjamín Huerta, Osvaldo Garay, Carlos Avelar, Ettore Fagà, Mohsen Kohrangi, Paola Ceresa, Georgios Triantafyllou, and Ulugbek T. Begaliev
Nat. Hazards Earth Syst. Sci., 24, 3851–3868, https://doi.org/10.5194/nhess-24-3851-2024,https://doi.org/10.5194/nhess-24-3851-2024, 2024
Short summary
Critical infrastructure resilience: a guide for building indicator systems based on a multi-criteria framework with a focus on implementable actions
Zhuyu Yang, Bruno Barroca, Ahmed Mebarki, Katia Laffréchine, Hélène Dolidon, and Lionel Lilas
Nat. Hazards Earth Syst. Sci., 24, 3723–3753, https://doi.org/10.5194/nhess-24-3723-2024,https://doi.org/10.5194/nhess-24-3723-2024, 2024
Short summary
Where to start with climate-smart forest management? Climatic risk for forest-based mitigation
Natalie Piazza, Luca Malanchini, Edoardo Nevola, and Giorgio Vacchiano
Nat. Hazards Earth Syst. Sci., 24, 3579–3595, https://doi.org/10.5194/nhess-24-3579-2024,https://doi.org/10.5194/nhess-24-3579-2024, 2024
Short summary
Dynamic response of pile–slab retaining wall structure under rockfall impact
Peng Zou, Gang Luo, Yuzhang Bi, and Hanhua Xu
Nat. Hazards Earth Syst. Sci., 24, 3497–3517, https://doi.org/10.5194/nhess-24-3497-2024,https://doi.org/10.5194/nhess-24-3497-2024, 2024
Short summary
Urban growth and spatial segregation increase disaster risk: lessons learned from the 2023 disaster on the North Coast of São Paulo, Brazil
Cassiano Bastos Moroz and Annegret H. Thieken
Nat. Hazards Earth Syst. Sci., 24, 3299–3314, https://doi.org/10.5194/nhess-24-3299-2024,https://doi.org/10.5194/nhess-24-3299-2024, 2024
Short summary

Cited articles

Alfieri, L., Feyen, L., Salamon, P., Thielen, J., Bianchi, A., Dottori, F., and Burek, P.: Modelling the socio-economic impact of river floods in Europe, Nat. Hazards Earth Syst. Sci., 16, 1401–1411, https://doi.org/10.5194/nhess-16-1401-2016, 2016. a
Amadio, M., Scorzini, A. R., Carisi, F., Essenfelder, A. H., Domeneghetti, A., Mysiak, J., and Castellarin, A.: Testing empirical and synthetic flood damage models: the case of Italy, Nat. Hazards Earth Syst. Sci., 19, 661–678, https://doi.org/10.5194/nhess-19-661-2019, 2019. a
Amirebrahimi, S., Rajabifard, A., Mendis, P., and Ngo, T.: A framework for a microscale flood damage assessment and visualization for a building using BIM–GIS integration, Int. J. Digit. Earth, 9, 363–386, https://doi.org/10.1080/17538947.2015.1034201, 2016. a
Apel, H., Aronica, G. T., Kreibich, H., and Thieken, A.: Flood risk analyses–how detailed do we need to be?, Nat. Hazards, 49, 79–98, https://doi.org/10.1007/s11069-008-9277-8, 2009. a, b
Barrington-Leigh, C. and Millard-Ball, A.: The world’s user-generated road map is more than 80 % complete, Plos One, 12, 1–20, https://doi.org/10.1371/journal.pone.0180698, 2017. a, b
Download
Short summary
Effective flood management requires information about the potential consequences of flooding. We show how openly accessible data from OpenStreetMap can support the estimation of flood damage for residential buildings. Working with methods of machine learning, the building geometry is used to predict flood damage in combination with information about inundation depth. Our approach makes it easier to transfer models to regions where no detailed data of flood impacts have been observed yet.
Altmetrics
Final-revised paper
Preprint