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The impacts of these and other commonly-made assumptions are rarely considered, and their impacts on flood risk estimates are poorly understood.
This paper describes a novel approach to the evaluation of anthropogenic impacts on flood risks in coastal mega-cities by incorporating three anthropogenic variables (land subsidence, urbanization and flood defence) within a scenario-based framework where numerical modelling was undertaken to quantify the risks.
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Chen, Y., Syvitski, J. P. M., Gao, S., Overeem, I. & Kettner, A. J. Socio-economic impacts on flooding: a 4000-year histofy of the Yellow River, China.
An obstacle to testing human impacts on flooding is that anthropogenic and natural hydrologic changes occur simultaneously and are often indistinguishable.
There is considerable potential for meta-analysis research to inform long-term flood risk assessment, to evaluate short-term climate and land-use change impacts on flooding and river behaviour, and to test landscape evolution models.
Changes in river channel geometry led to significant impact on flood hydraulics and thereby flood hazards.
Observational evidence has identified that seasonality of climate variables has a major impact on flood peaks.
The impact on flood damages is therefore entirely due to the bed resistance effect of wetland cover on flood extents and heights.
Random variations in location and time point of urban development could have significant impact on flood risk and would in some cases outweigh the benefits of less efficient adaptation strategies.
We foresee numerous applications of the HANZE database for further studies, including an analysis of trends for other hazards, an assessment of the potential impacts of climate change on historical losses, and studies of individual events and their impact on flood management.
The greater water depth and flow velocity differences between the flood modelling results obtained using the reference DEM and the merged DEMs ranged from −9.845 to 0.002 m, and from 0.003 to 0.024 m s−1 respectively; these differences can have a significant impact on flood hazard estimates.
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