The production of spatially accurate representations of potential inundation is often limited by the lack of available data as well as model complexity. We present in this paper a new approach for rapid inundation mapping, MHYST, which is well adapted for data-scarce areas; it combines hydraulic geometry concepts for channels and DEM data for floodplains. Its originality lies in the fact that it does not work at the cross section scale but computes effective geometrical properties to describe the reach scale. Combining reach-scale geometrical properties with 1-D steady-state flow equations, MHYST computes a topographically coherent relation between the height above nearest drainage and streamflow. This relation can then be used on ...
Flood inundation forecast maps provide an essential tool to disaster management teams for planning a...
The execution of hydraulic models at large spatial scales has yielded a step change in our understan...
Floods are considered the most frequent natural disaster world-wide and may have serious socio econo...
[Departement_IRSTEA]Eaux [TR1_IRSTEA]ARCEAU [ADD1_IRSTEA]Hydrosystèmes et risques naturelsInternatio...
International audienceFlash floods observed in headwater catchments often cause catastrophic materia...
International audienceFloods cause significant material and human damage worldwide. In France, and m...
Flooding is the most threatening natural disaster worldwide considering the fatalities and property ...
International audienceFlash Floods cause significant material and human damage worldwide. In France,...
Flood modelling has become an essential issue in today's society, due to the expansion of urban area...
Rapid tools for the prediction of the spatial distribution of flood depths within inundated areas ar...
Flood models predict inundation extents, and can be an important source of information for flood ris...
Recent floods from intense storms in the southern United States and the unusually active 2017 Atlant...
The simple conceptual flood inundation model TVD (Teng-Vaze-Dutta) is more computationally efficient...
Advances in remote sensing have enabled hydraulic models to run at fine scale resolutions, producing...
One of the main obstacles in mapping flood hazard in data scarce areas is the difficulty in estimati...
Flood inundation forecast maps provide an essential tool to disaster management teams for planning a...
The execution of hydraulic models at large spatial scales has yielded a step change in our understan...
Floods are considered the most frequent natural disaster world-wide and may have serious socio econo...
[Departement_IRSTEA]Eaux [TR1_IRSTEA]ARCEAU [ADD1_IRSTEA]Hydrosystèmes et risques naturelsInternatio...
International audienceFlash floods observed in headwater catchments often cause catastrophic materia...
International audienceFloods cause significant material and human damage worldwide. In France, and m...
Flooding is the most threatening natural disaster worldwide considering the fatalities and property ...
International audienceFlash Floods cause significant material and human damage worldwide. In France,...
Flood modelling has become an essential issue in today's society, due to the expansion of urban area...
Rapid tools for the prediction of the spatial distribution of flood depths within inundated areas ar...
Flood models predict inundation extents, and can be an important source of information for flood ris...
Recent floods from intense storms in the southern United States and the unusually active 2017 Atlant...
The simple conceptual flood inundation model TVD (Teng-Vaze-Dutta) is more computationally efficient...
Advances in remote sensing have enabled hydraulic models to run at fine scale resolutions, producing...
One of the main obstacles in mapping flood hazard in data scarce areas is the difficulty in estimati...
Flood inundation forecast maps provide an essential tool to disaster management teams for planning a...
The execution of hydraulic models at large spatial scales has yielded a step change in our understan...
Floods are considered the most frequent natural disaster world-wide and may have serious socio econo...