Articles | Volume 22, issue 11
https://doi.org/10.5194/nhess-22-3815-2022
https://doi.org/10.5194/nhess-22-3815-2022
Research article
 | 
28 Nov 2022
Research article |  | 28 Nov 2022

Multi-scenario urban flood risk assessment by integrating future land use change models and hydrodynamic models

Qinke Sun, Jiayi Fang, Xuewei Dang, Kepeng Xu, Yongqiang Fang, Xia Li, and Min Liu

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Cited articles

Aerts, J. C. J. H., Botzen, W. J. W., Emanuel, K., Lin, N., De Moel, H., and Michel-Kerjan, E. O.: Climate adaptation: Evaluating flood resilience strategies for coastal megacities, Science, 344, 473–475, https://doi.org/10.1126/science.1248222, 2014. 
Bates, P. D., Horritt, M. S., and Fewtrell, T. J.: A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling, J. Hydrol., 387, 33–45, https://doi.org/10.1016/j.jhydrol.2010.03.027, 2010. 
Berke, P. R., Malecha, M. L., Yu, S., Lee, J., and Masterson, J. H.: Plan integration for resilience scorecard: evaluating networks of plans in six US coastal cities, J. Environ. Plan. Manag., 62, 901–920, https://doi.org/10.1080/09640568.2018.1453354, 2019. 
Bouwer, L. M.: Next-generation coastal risk models, Nat. Clim. Change, 8, 765–766, https://doi.org/10.1038/s41558-018-0262-2, 2018. 
Chen, G., Li, X., Liu, X., Chen, Y., Liang, X., Leng, J., Xu, X., Liao, W., Qiu, Y., Wu, Q., and Huang, K.: Global projections of future urban land expansion under shared socioeconomic pathways, Nat. Commun., 11, 537, https://doi.org/10.1038/s41467-020-14386-x, 2020. 
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Short summary
Flooding by extreme weather events and human activities can lead to catastrophic impacts in coastal areas. The research illustrates the importance of assessing the performance of different future urban development scenarios in response to climate change, and the simulation study of urban risks will prove to decision makers that incorporating disaster prevention measures into urban development plans will help reduce disaster losses and improve the ability of urban systems to respond to floods.
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