Global flood exposure from different sized rivers

Bernhofen, Mark V.; Trigg, Mark A.; Sleigh, P. Andrew; Sampson, Christopher C.; Smith, Andrew M.

doi:https://doi.org/10.5194/nhess-21-2829-2021

Articles | Volume 21, issue 9

https://doi.org/10.5194/nhess-21-2829-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-21-2829-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 9

Research article

|

16 Sep 2021

Research article |

| 16 Sep 2021

Global flood exposure from different sized rivers

Mark V. Bernhofen, Mark A. Trigg, P. Andrew Sleigh, Christopher C. Sampson, and Andrew M. Smith

Supplement

https://doi.org/10.5194/nhess-21-2829-2021-supplement

Data sets

River Flood Susceptibility Map M. V. Bernhofen, M. A. Trigg, P. A. Sleigh, C. C. Sampson, and A. M. Smith https://doi.org/10.5518/947

Facebook Density Humanitarian Data Exchange https://data.humdata.org/organization/facebook?q=density

GHS-POP R2019A - GHS population grid multitemporal (1975-1990-2000-2015) M. Schiavina, S. Freire, and K. MacManus https://doi.org/10.2905/0C6B9751-A71F-4062-830B-43C9F432370F

Population Counts Worldpop https://doi.org/10.5258/SOTON/WP00645

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Short summary

The use of different global datasets to calculate flood exposure can lead to differences in global flood exposure estimates. In this study, we use three global population datasets and a simple measure of a river’s flood susceptibility (based on the terrain alone) to explore how the choice of population data and the size of river represented in global flood models affect global and national flood exposure estimates.