The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Declining vulnerability to river floods and the global benefits of adaptation
Open accessAbstract
Significance: Understanding the vulnerability of societies around the world is crucial for understanding historical trends in flood risk and for producing accurate projections of fatalities and losses. We reproduced historical river flood occurrence using daily climate data for the period 1980–2010 and quantified the natural and socioeconomic contributions to flood risk trends. We show that the fatalities and losses as a share of the exposed population and gross domestic product are decreasing with rising income. We also show that there is a tendency of convergence in vulnerability levels between low- and high-income countries. Projections based on a wide range of climate change and socioeconomic development scenarios demonstrate that amplified adaptation efforts have the potential to largely contain losses from future floods.
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Cites
Future flood losses in major coastal cities
Hallegatte, S., Green, C., Nicholls, R. J., & Corfee-Morlot, J. (2013) · Nature Climate Change · doi:10.1038/nclimate1979 · Cited by 2,503
A trend-preserving bias correction – the ISI-MIP approach
Hempel, S., Frieler, K., Warszawski, L., Schewe, J., & Piontek, F. (2013) · Earth System Dynamics · doi:10.5194/esd-4-219-2013 · Cited by 1,238
Global 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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Spatially explicit global population scenarios consistent with the Shared Socioeconomic Pathways
Jones, B., & O’Neill, B. C. (2016) · Environmental Research Letters · doi:10.1088/1748-9326/11/8/084003 · Cited by 817
Eight grand challenges in socio-environmental systems modeling
Elsawah, S., Filatova, T., Jakeman, A. J., Kettner, A. J., Zellner, M. L., Athanasiadis, I. N., Hamilton, S. H., Axtell, R. L., Brown, D. G., Gilligan, J. M., et al. (2020) · Socio-Environmental Systems Modelling · doi:10.18174/sesmo.2020a16226 · Cited by 205
Global mapping of eco-environmental vulnerability from human and nature disturbances
Nguyen, K.-A., & Liou, Y.-A. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.01.407 · Cited by 126
Hill, B., Liang, Q., Bosher, L., Chen, H., & Nicholson, A. (2023) · Journal of Flood Risk Management · doi:10.1111/jfr3.12899 · Cited by 57
Metadata
- Authors
- Jongman, B., Winsemius, H. C., Aerts, J. C. J. H., Coughlan de Perez, E., van Aalst, M. K., Kron, W., & Ward, P. J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2015-04-20
- Volume
- 112
- Issue
- 18
- Pages
- E2271-80
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2088486912
- Cited by
- 454
- References
- 3
- FWCI
- 23.64
- Type
- journal article
- Language
- en
- Open access
- green
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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.
