The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Assessing flood risk at the global scale: model setup, results, and sensitivity
Open accessAbstract
Globally, economic losses from flooding exceeded $19 billion in 2012, and are rising rapidly. Hence, there is an increasing need for global-scale flood risk assessments, also within the context of integrated global assessments. We have developed and validated a model cascade for producing global flood risk maps, based on numerous flood return-periods. Validation results indicate that the model simulates interannual fluctuations in flood impacts well. The cascade involves: hydrological and hydraulic modelling; extreme value statistics; inundation modelling; flood impact modelling; and estimating annual expected impacts. The initial results estimate global impacts for several indicators, for example annual expected exposed population (169 million); and annual expected exposed GDP ($1383 billion). These results are relatively insensitive to the extreme value distribution employed to estimate low frequency flood volumes. However, they are extremely sensitive to the assumed flood protection standard; developing a database of such standards should be a research priority. Also, results are sensitive to the use of two different climate forcing datasets. The impact model can easily accommodate new, user-defined, impact indicators. We envisage several applications, for example: identifying risk hotspots; calculating macro-scale risk for the insurance industry and large companies; and assessing potential benefits (and costs) of adaptation measures.
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Cites
Klein Goldewijk, K., Beusen, A., van Drecht, G., & de Vos, M. (2011) · Global Ecology and Biogeography · doi:10.1111/j.1466-8238.2010.00587.x · Cited by 1,270 · cited 1×
“The land use data are taken from the HYDE database (Klein Goldewijk et al 2011), which shows the fraction of each grid-cell with urban land cover (5′ × 5′).”
MethodGlobal monthly water stress: 1. Water balance and water availability
van Beek, L. P. H., Wada, Y., & Bierkens, M. F. P. (2011) · Water Resources Research · doi:10.1029/2010wr009791 · Cited by 555
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Cited by
Global hydrology 2015: State, trends, and directions
Bierkens, M. F. P. (2015) · Water Resources Research · doi:10.1002/2015wr017173 · Cited by 493
Self-citationEnsemble flood risk assessment in Europe under high end climate scenarios
Alfieri, L., Feyen, L., Dottori, F., & Bianchi, A. (2015) · Global Environmental Change · doi:10.1016/j.gloenvcha.2015.09.004 · Cited by 346
Zaherpour, J., Gosling, S. N., Mount, N., Schmied, H. M., Veldkamp, T. I. E., Dankers, R., Eisner, S., Gerten, D., Gudmundsson, L., Haddeland, I., et al. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aac547 · Cited by 174
Salazar-Briones, C., Ruiz-Gibert, J. M., Lomelí-Banda, M. A., & Mungaray-Moctezuma, A. (2020) · Water · doi:10.3390/w12020608 · Cited by 64
Increase in Population Exposure Due to Dry and Wet Extremes in India Under a Warming Climate
Kumar, R., & Mishra, V. (2020) · Earth's Future · doi:10.1029/2020ef001731 · Cited by 43
Metadata
- Authors
- Ward, P. J., Jongman, B., Weiland, F. S., Bouwman, A., van Beek, R., Bierkens, M. F. P., Ligtvoet, W., & Winsemius, H. C.
- Venue
- Environmental Research Letters
- Publisher
- IOP Publishing
- Published
- 2013-10-28
- Volume
- 8
- Issue
- 4
- Pages
- 044019
- ISSN
- 1748-9326 (ISSN-L)
- OpenAlex
- W2060059902
- Cited by
- 413
- References
- 3
- FWCI
- 12.59
- Type
- journal article
- Language
- en
- Open access
- gold
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- Ward, P. J., Jongman, B., Weiland, F. S., Bouwman, A., van Beek, R., Bierkens, M. F. P., Ligtvoet, W., & Winsemius, H. C. (2013). Assessing flood risk at the global scale: model setup, results, and sensitivity. Environmental Research Letters. https://doi.org/10.1088/1748-9326/8/4/044019
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