the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Global flood hazard mapping using statistical peak flow estimates
Abstract. Our aim is to produce a world map of flooded areas for a 100 year return period, using a method based on large rivers peak flow estimates derived from mean monthly discharge time-series. Therefore, the map is supposed to represent flooding that affects large river floodplains, but not events triggered by specific conditions like coastal or flash flooding for instance.
We first generate for each basin a set of hydromorphometric, land cover and climatic variables. In case of an available discharge record station at the basin outlet, we base the hundred year peak flow estimate on the corresponding time-series. Peak flow magnitude for basin outlets without gauging stations is estimated by statistical means, performing several regressions on the basin variables. These peak flow estimates enable the computation of corresponding flooded areas using hydrologic GIS processing on digital elevation model.
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RC C264: 'Very much needed study but requires careful attention in some major points', Guy J.-P. Schumann, 03 Mar 2011
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RC C305: 'Referee comments', Anonymous Referee #2, 07 Mar 2011
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EC C904: 'Editor comment', Giuliano Di Baldassarre, 14 Apr 2011
- Printer-friendly version
- Supplement
-
RC C264: 'Very much needed study but requires careful attention in some major points', Guy J.-P. Schumann, 03 Mar 2011
-
RC C305: 'Referee comments', Anonymous Referee #2, 07 Mar 2011
-
EC C904: 'Editor comment', Giuliano Di Baldassarre, 14 Apr 2011
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Cited
11 citations as recorded by crossref.
- Advances in Large-Scale Flood Monitoring and Detection S. Manfreda et al. 10.3390/hydrology5030049
- A framework for global river flood risk assessments H. Winsemius et al. 10.5194/hess-17-1871-2013
- The Disaster Risk, Global Change, and Sustainability Nexus P. Peduzzi 10.3390/su11040957
- Natural Disasters and Political Engagement: Evidence from the 2010011 Pakistani Floods C. Fair et al. 10.2139/ssrn.2978047
- Connecting global‐ and local‐scale flood risk assessment: a case study of the Rhine River basin flood hazard M. Gusyev et al. 10.1111/jfr3.12243
- Deriving global flood hazard maps of fluvial floods through a physical model cascade F. Pappenberger et al. 10.5194/hess-16-4143-2012
- Global exposure to river and coastal flooding: Long term trends and changes B. Jongman et al. 10.1016/j.gloenvcha.2012.07.004
- The credibility challenge for global fluvial flood risk analysis M. Trigg et al. 10.1088/1748-9326/11/9/094014
- Geomorphic classifiers for flood-prone areas delineation for data-scarce environments C. Samela et al. 10.1016/j.advwatres.2017.01.007
- Estimating extreme river discharges in Europe through a Bayesian network D. Paprotny & O. Morales-Nápoles 10.5194/hess-21-2615-2017
- Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data L. Giustarini et al. 10.3390/rs71014200
