Articles | Volume 21, issue 10
https://doi.org/10.5194/nhess-21-2921-2021
https://doi.org/10.5194/nhess-21-2921-2021
Research article
 | 
30 Sep 2021
Research article |  | 30 Sep 2021

Global riverine flood risk – how do hydrogeomorphic floodplain maps compare to flood hazard maps?

Sara Lindersson, Luigia Brandimarte, Johanna Mård, and Giuliano Di Baldassarre

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Cited articles

Aerts, J. P. M., Uhlemann-Elmer, S., Eilander, D., and Ward, P. J.: Comparison of estimates of global flood models for flood hazard and exposed gross domestic product: a China case study, Nat. Hazards Earth Syst. Sci., 20, 3245–3260, https://doi.org/10.5194/nhess-20-3245-2020, 2020. 
Akhter, F., Mazzoleni, M., and Brandimarte, L.: Analysis of 220 Years of Floodplain Population Dynamics in the US at Different Spatial Scales, Water, 13, 141, https://doi.org/10.3390/w13020141, 2021. 
Alfieri, L., Bisselink, B., Dottori, F., Naumann, G., de Roo, A., Salamon, P., Wyser, K., and Feyen, L.: Global projections of river flood risk in a warmer world, Earths Future, 5, 171–182, https://doi.org/10.1002/2016EF000485, 2017. 
Annis, A., Nardi, F., Morrison, R. R., and Castelli, F.: Investigating hydrogeomorphic floodplain mapping performance with varying DTM resolution and stream order, Hydrol. Sci. J., 64, 525–538, https://doi.org/10.1080/02626667.2019.1591623, 2019. 
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Riverine flood risk assessments require the identification of areas prone to potential flooding. We find that (topography-based) hydrogeomorphic floodplain maps can in many cases be useful for riverine flood risk assessments, particularly where hydrologic data are scarce. For 26 countries across the global south, we also demonstrate how dataset choice influences the estimated number of people living within flood-prone zones.
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