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Application of Soil Conservation Service Curve Number Method for Runo Estimation in Sebou Watershed, Morocco

Jabri Btissam, Hessane Mohammed Abdelbaset, Morabbi Ali, Msatef Karim

Ecological Engineering & Environmental Technology

2022

Vol. 23, iss. 6

70--81

In Morocco, although it is often classified as a country with a semi-arid climate, floods are very frequent. Like other basins in the kingdom, the Sebou basin with a total area of 40 000 km² has experienced more catastrophic flooding in the past and these floods have caused enormous economic and even human losses. The objective of this study is to apply different methods to calculate a Curve Number values to estimate the potential runoff for this basin. The techniques used are boils down to the different steps. Firstly, the approach was to extract automatically the sub-basins and drainage network, using Geographical Information Systems (GIS) and Digital Elevation Model (DEM) to determine all the physical characteristics of the basin. Then, preparing the land use map using remote sensing and the soil map for determining hydrologic soil Group. Thirdly, the combination of elaborated data for development of a map of Curve Number (CN) and finally, the interpolation of precipitation data recorded at rainfall stations at 30 minutes time steps to the Hydrologic Modeling System (HEC-HMS) model. The results obtained in the above steps are used for the purpose to get a spatial hydrological model and subsequently its calibration.

Modeling of Continuous and Extreme Hydrological Processes Using Spatially Distributed Models MERCEDES, VICAIR and VISHYR in a Mediterranean Watershed

Aqnouy Mourad, El Messari Jamal Eddine Stitou, Bouadila Abdelmounim, Morabbi Ali, Benaabidate Lahcen, Al-Djazouli Mahamat Ouchar

Ecological Engineering & Environmental Technology

2021

Vol. 22, iss. 1

9--23

Hydrological modeling predicts flood discharge and diminishes the danger by minimizing the environmental damages downstream. This study aimed to investigate the application of the ATHYS Models platform for simulating the rainfall-runoff relationship in Oued Laou Watershed (940 km2 ). The study area is characterized by strong storms associated with the highest rainfall in Morocco, as well as renowned for its regular water supply and historical flooding; for these reasons, it is classified as a vulnerable area during a rainfall event. The models of the ATHYS platform have been implemented in continuous time during (2004–2012), and in four hourly rainfall extremes recorded in March 2018 at the Kodiat Khorireen station. The VICAIR model was used to visualize, analyze and spatially adjust the input data in raster format (land use, soil numerical map, slope, and flow direction). The VISHYR model, on the other hand, was used for corrections, calculations, management, and visualization of local hydro-climatic data in the FTS63 format. Under the MERCEDES model, the combination of the Soil Conservation Service (SCS) production function and the Lag and Route (L&R) transfer function has produced satisfactory results for continuous simulation periods and for the extreme scenarios. The modeling of the flow process in the Oued Laou by the ATHYS platform produced a reasonable performance with an average NSE of 0.70, R2 of 0.73, PBIAS of 13% and RMSE of 0.46. The research results reveal that the storage parameters, soil type, land use, and vegetation are the most important factors affecting the sensitivity of the hydrological response in the Oued Laou watershed. Moreover, the results indicate that the MERCEDES model is an appropriate tool for modeling floods and flow volumes associated with specific rain events and could be used by managers and decision-makers as a tool for flood forecasting in Morocco.