Articles | Volume 20, issue 4
https://doi.org/10.5194/nhess-20-967-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-967-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The role of spatial dependence for large-scale flood risk estimation
Hydrology Section, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Institute of Environmental Science and Geography, University of
Potsdam, 14476 Potsdam, Germany
Nguyen Viet Dung
Hydrology Section, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Kai Schröter
Hydrology Section, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Sergiy Vorogushyn
Hydrology Section, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Björn Guse
Hydrology Section, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Heidi Kreibich
Hydrology Section, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Bruno Merz
Hydrology Section, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Institute of Environmental Science and Geography, University of
Potsdam, 14476 Potsdam, Germany
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Latest update: 10 Dec 2024
Short summary
For effective risk management, flood risk should be properly assessed. Traditionally, risk is assessed by making the assumption of invariant flow or loss probabilities (the chance that a given discharge or loss is exceeded) within the river catchment during a single flood event. However, in reality, flooding is more severe in some regions than others. This study indicates the importance of representing the spatial dependence of flood peaks and damage for risk assessments.
For effective risk management, flood risk should be properly assessed. Traditionally, risk is...
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