Water-level attenuation in global-scale assessments of exposure to coastal flooding: a sensitivity analysis
This study explores the uncertainty introduced in global assessments of coastal flood exposure and risk when not accounting for water-level attenuation due to land-surface characteristics. We implement a range of plausible water-level attenuation values for characteristic land-cover classes in the f...
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Veröffentlicht in: | Natural hazards and earth system sciences 2019-05, Vol.19 (5), p.973-984 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | This study explores the uncertainty introduced in
global assessments of coastal flood exposure and risk when not accounting for
water-level attenuation due to land-surface characteristics. We implement a
range of plausible water-level attenuation values for characteristic
land-cover classes in the flood module of the Dynamic and Integrated
Vulnerability Assessment (DIVA) modelling framework and assess the
sensitivity of flood exposure and flood risk indicators to differences in
attenuation rates. Results show a reduction of up to 44 % in area
exposure and even larger reductions in population exposure and expected flood
damages when considering water-level attenuation. The reductions vary by
country, reflecting the differences in the physical characteristics of the
floodplain as well as in the spatial distribution of people and assets in
coastal regions. We find that uncertainties related to not accounting for
water attenuation in global assessments of flood risk are of similar
magnitude to the uncertainties related to the amount of sea-level rise
expected over the 21st century. Despite using simplified assumptions to
account for the process of water-level attenuation, which depends on numerous
factors and their complex interactions, our results strongly suggest that an
improved understanding and representation of the temporal and spatial
variation of water levels across floodplains is essential for future impact
modelling. |
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ISSN: | 1684-9981 1561-8633 1684-9981 |
DOI: | 10.5194/nhess-19-973-2019 |