The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Comparative flood damage model assessment: towards a European approach
Open accessAbstract
Abstract. There is a wide variety of flood damage models in use internationally, differing substantially in their approaches and economic estimates. Since these models are being used more and more as a basis for investment and planning decisions on an increasingly large scale, there is a need to reduce the uncertainties involved and develop a harmonised European approach, in particular with respect to the EU Flood Risks Directive. In this paper we present a qualitative and quantitative assessment of seven flood damage models, using two case studies of past flood events in Germany and the United Kingdom. The qualitative analysis shows that modelling approaches vary strongly, and that current methodologies for estimating infrastructural damage are not as well developed as methodologies for the estimation of damage to buildings. The quantitative results show that the model outcomes are very sensitive to uncertainty in both vulnerability (i.e. depth–damage functions) and exposure (i.e. asset values), whereby the first has a larger effect than the latter. We conclude that care needs to be taken when using aggregated land use data for flood risk assessment, and that it is essential to adjust asset values to the regional economic situation and property characteristics. We call for the development of a flexible but consistent European framework that applies best practice from existing models while providing room for including necessary regional adjustments.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Field, C. B., Barros, V. R., Stocker, T. F., Qin, D., Dokken, D. J., Ebi, K. L., Mastrandrea, M. D., Mach, K. J., Plattner, G., Allen, S., et al. (2012) · Cambridge University Press eBooks · Cited by 3,037
Review article "Assessment of economic flood damage"
Merz, B., Kreibich, H., Schwarze, R., & Thieken, A. (2010) · Natural Hazards and Earth System Sciences · doi:10.5194/nhess-10-1697-2010 · Cited by 1,295
Self-citationBates, P. D., Horritt, M. S., & Fewtrell, T. J. (2010) · Journal of Hydrology · doi:10.1016/j.jhydrol.2010.03.027 · Cited by 1,273
Self-citationGlobal Perspectives on Loss of Human Life Caused by Floods
Jonkman, S. N. (2005) · Natural Hazards · doi:10.1007/s11069-004-8891-3 · Cited by 952
Flood risk analyses—how detailed do we need to be?
Apel, H., Aronica, G. T., Kreibich, H., & Thieken, A. H. (2009) · Natural Hazards · doi:10.1007/s11069-008-9277-8 · Cited by 586
Self-citationCities and Flooding: A Guide to Integrated Urban Flood Risk Management for the 21st Century
Jha, A. K., Bloch, R., & Lamond, J. (2012) · doi:10.1596/978-0-8213-8866-2 · Cited by 584
Flood risk assessment and associated uncertainty
Apel, H., Thieken, A. H., Merz, B., & Blöschl, G. (2004) · Natural Hazards and Earth System Sciences · doi:10.5194/nhess-4-295-2004 · Cited by 536
Self-citationCities and Flooding: A Guide to Integrated Urban Flood Risk Management for the 21st Century
Jha, A. K., Bloch, R., & Lamond, J. E. (2012) · Cited by 480
Estimation uncertainty of direct monetary flood damage to buildings
Merz, B., Kreibich, H., Thieken, A., & Schmidtke, R. (2004) · Natural Hazards and Earth System Sciences · doi:10.5194/nhess-4-153-2004 · Cited by 444
Self-citationPhysical and economic consequences of climate change in Europe
Ciscar, J.-C., Iglesias, A., Feyen, L., Szabó, L., Van Regemorter, D., Amelung, B., Nicholls, R., Watkiss, P., Christensen, O. B., Dankers, R., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1011612108 · Cited by 432
Self-citation
Cited by
Combining hazard, exposure and social vulnerability to provide lessons for flood risk management
Koks, E. E., Jongman, B., Husby, T. G., & Botzen, W. J. W. (2015) · Environmental Science & Policy · doi:10.1016/j.envsci.2014.10.013 · Cited by 677
Self-citationA framework for global river flood risk assessments
Winsemius, H. C., Van Beek, L. P. H., Jongman, B., Ward, P. J., & Bouwman, A. (2013) · Hydrology and Earth System Sciences · doi:10.5194/hess-17-1871-2013 · Cited by 448
Self-citationReview article: Assessing the costs of natural hazards – state of the art and knowledge gaps
Meyer, V., Becker, N., Markantonis, V., Schwarze, R., van den Bergh, J. C. J. M., Bouwer, L. M., Bubeck, P., Ciavola, P., Genovese, E., Green, C., et al. (2013) · Natural Hazards and Earth System Sciences · doi:10.5194/nhess-13-1351-2013 · Cited by 431
Self-citationClimatic and socioeconomic controls of future coastal flood risk in Europe
Vousdoukas, M. I., Mentaschi, L., Voukouvalas, E., Bianchi, A., Dottori, F., & Feyen, L. (2018) · Nature Climate Change · doi:10.1038/s41558-018-0260-4 · Cited by 334
Self-citationRojas, R., Feyen, L., & Watkiss, P. (2013) · Global Environmental Change · doi:10.1016/j.gloenvcha.2013.08.006 · Cited by 302
Self-citation
Metadata
- Authors
- Jongman, B., Kreibich, H., Apel, H., Barredo, J. I., Bates, P. D., Feyen, L., Gericke, A., Neal, J., Aerts, J. C. J. H., & Ward, P. J.
- Venue
- Natural Hazards and Earth System Sciences
- Publisher
- Copernicus GmbH
- Published
- 2012-12-19
- Volume
- 12
- Issue
- 12
- Pages
- 3733-3752
- ISSN
- 1561-8633 (ISSN-L)
- 1684-9981
- OpenAlex
- W2095645566
- Cited by
- 472
- References
- 37
- FWCI
- 17.99
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Comparative flood damage model assessment: towards a European approach. https://app.cochat.ai/papers/10.5194/nhess-12-3733-2012
- The paper
- Jongman, B., Kreibich, H., Apel, H., Barredo, J. I., Bates, P. D., Feyen, L., Gericke, A., Neal, J., Aerts, J. C. J. H., & Ward, P. J. (2012). Comparative flood damage model assessment: towards a European approach. Natural Hazards and Earth System Sciences. https://doi.org/10.5194/nhess-12-3733-2012
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
