The manning's roughness coefficient calibration method to improve flood hazard analysis in the absence of river bathymetric data: Application to the urban historical …

J Garrote, M González-Jiménez, C Guardiola-Albert… - Applied Sciences, 2021 - mdpi.com
Featured Application The methodology proposed in this manuscript makes it possible to
improve the estimation of flood zones and their flow depth values in situations where there
are no available bathymetric data of the channel (or they are scarce and do not allow for its
shape reconstruction). It could improve flood risk assessment too. Abstract The accurate
estimation of flood risk depends on, among other factors, a correct delineation of the
floodable area and its associated hydrodynamic parameters. This characterization becomes …

The Manning's Roughness Coefficient Calibration Method to Improve Flood Hazard Analysis in the Absence of River Bathymetric Data: Application to the Urban …

J Garrote Revilla, M González Jiménez… - 2021 - docta.ucm.es
The accurate estimation of flood risk depends on, among other factors, a correct delineation
of the floodable area and its associated hydrodynamic parameters. This characterization
becomes fundamental in the flood hazard analyses that are carried out in urban areas. To
achieve this objective, it is necessary to have a correct characterization of the topography,
both inside the riverbed (bathymetry) and outside it. Outside the riverbed, the LiDAR data led
to an important improvement, but not so inside the riverbed. To overcome these deficiencies …
以上显示的是最相近的搜索结果。 查看全部搜索结果