Drainage Network Patterns Determinism: A Comparison in Arid, Semi-Arid and Semi-Humid Area of Morocco Using Multifactorial Approach

• Main Authors: Tarik Bouramtane, Abdessamad Tiouiouine, Ilias Kacimi, Vincent Valles, Amine Talih, Nadia Kassou, Jamila Ouardi, Amal Saidi, Moad Morarech, Suzanne Yameogo, Hamza El Kbiri, Hajar Rhazal, Hala Achach, Laurent Barbiero
• Format: Article
• Language: English
• Published: MDPI AG 2020-11-01
• Series: Hydrology
• Subjects: drainage network pattern; multivariate analysis; GIS; Morocco
• Online Access: https://www.mdpi.com/2306-5338/7/4/87

Drainage network patterns influence the hydrological response of the watersheds and must be taken into account in the management of the water resource. In this context, it is important to identify the factors that control the configuration of drainage networks in and beyond specific climatic conditions. Here, we study 318 basins spread over three sectors (arid, semi-arid, and semi-humid) of Morocco where seven drainage network patterns have been identified. From each basin, 14 parameters were extracted, describing the relief, geology, morphometry, drainage network, land cover, precipitation, and time of concentration (Tc). Principal component analysis (PCA) and discriminant analysis (DA) processing were performed on the entire database and on each sector separately. The results show that the drainage network pattern is a feature of the landscape that contributes significantly to the variance of the basins. They suggest that the distribution of network patterns is controlled by the relationship between the different parameters, mainly those related to the relief, more than by the variations of each parameter taken individually. The network discrimination rate is 63.8%, which improves when each sector is treated separately. Confusion in discrimination are similar across all sectors and can be explained by similar conditions (active tectonic, deformation, and uplift) or transitions from one network pattern to another, due to the landscape evolution of certain sectors. A contribution of climatic variables appears locally but was attributed to a statistical coincidence, these parameters presenting a distribution close to that of the relief and geology variables.