Abstract
This work focused on the collection and preparation of the data required for the hydrological modelling of the Beht catchment area, which covers an area of 4560 km2 with a perimeter of 414 km, by combining the various spatial technologies, in particular geographical information systems (GIS), remote sensing, and digital terrain models (DTM), with hydrological models in order to prepare for spatial hydrological modelling used for flood forecasting. The methodology consists, at first, in the automatic extraction of the sub-basins and the drainage network. Then, edit these data using the HEC-GEO-HMS extension, and the preparation of the land use and land cover data for the elaboration of a Curve Number (CN) map of Beht watershed, then the import of the basin model into the Hydrologic Modeling System (HEC-HMS) to simulate the surface runoff using six extreme daily time series events.
Highlights
Over the last years, Morocco has experienced a number of tragic flood events that have generated flooding in several regions of the country due, on the one hand, to population growth and urban, agricultural, industrial and tourism development which lead to an increasing occupation of vulnerable areas and, on the other hand, to the aggravation of extreme conditions as a result of climate change [1]
The results of the hydrological model in this study showed a reasonable fit between the simulated and observed hydrographs after optimization; the shape of the hydrograph and the time of peak had a good match
Our project is a perspective study which is inserted on the preparation of the data necessary as a first step for the hydrologic simulation using Hydrologic Engineering Center (HEC)-HMS model
Summary
Morocco has experienced a number of tragic flood events that have generated flooding in several regions of the country due, on the one hand, to population growth and urban, agricultural, industrial and tourism development which lead to an increasing occupation of vulnerable areas and, on the other hand, to the aggravation of extreme conditions (drought and floods) as a result of climate change [1]. To deal with this flood risk, a set of tools has been developed to understand the hydrological functioning of basins. Despite several limitations of the method and even questionable credibility at times, it has been in continuous use for the simple reason that it works fairly well at the field level. [6, 7, 8, 9, 10, 11]
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