Utilisation Du Sig Dans L’analyse Morphometrique Et La Prioritisation Des Sous-Bassins Versants De Oued Inaouene (Nord-Est Du Maroc)

Abstract

The present work focuses on the prioritization of the wadi Inaouène watershed based on morphometric analysis. The river system was extracted and thirteen sub-catchment basins have been delineated from a DTM using open source software. The following morphometric parameters were calculated for each sub-basin stream length (Lu) and the average length (Lsm), flow length ratio (RL), bifurcation ratio (Rb), medium bifurcation ratio (RBM), drainage density (Dd), drainage texture (T), the flow rate (Fs), elongation rate (Re), circularity ratio (Rc), form factor (Ff), topography and terrain ratio. By combining the values of these parameters we have classified the sub-watersheds in three prioritization categories: high grade (SBV01, SBV04, SBV05, SBV06, SBV11 and SBV12), is subject to a maximum soil erosion, which requires immediate action to prevent possible natural hazards, the Average category (SBV02, SBV03, SBV07, SBV08, SBV09 and SBV10) and low grade (SBV13).

Identification of critical watershed at risk of soil erosion using morphometric and geographic information system analysis

“…This is accomplished by following that morphometric parameter's evaluation. For each subbasin, the value of each linear and shape parameter is applied to obtain a composition parameter (Cp) based on the mean value of these parameters for each subbasin (Umak et al 2017;Benzougagh et al 2016Benzougagh et al , 2017Umair and Syed 2014;Pawar-Patil and Mali 2013;Vandana 2013;Biswas et al 1999). Nonetheless, highest priority was given to the sub-watershed with the lowest composite parameter value.…”

“…Number in the present paper region is dominated by the lower order flow segments. The variation in the size and magnitude of the subwatershed is due to the topographical, physiographic, geomorphological, and structural conditions of the region, as well as percolative capacities (Iqbal and Sajjad 2014;Umair and Syed 2014;Aher et al 2014;Benzougagh et al 2016). High first-order values mean an unintended floodwater is likely after heavy rainfall in downstream streams (Chitra et al 2011;Chaitanya and Kanak 2017).…”

“…Much research indicates that a high catch-density is caused by poor or impermeable material in the basement, while low catchment densities generally lead to the surface area with high resistance to or permitted subterranean substances (Strahler 1964;Melton 1957;Nag 1998;Thomas et al 2011 andBenzougagh et al 2016). Incidentally, the low density of the output contributes to crass texture and high input density to a perfect texture for drainage.…”

“…The high shape factor vessel has a peak rate of short durations; the long, low shape sub-watershed has a lower peak level of long life (Umak et al 2017). Flows of such stretch basins can be guided more easily than from the circular basin (Benzougagh et al 2016).…”

“…The present work integrates morphometric analysis (MA) model with the techniques of Spatial Remote Sensing (SRS) and Geographical Information System (GIS) to determine the critical soil erosion prone areas to prioritize watershed prioritization studies and to analyze various fields of catchment and watershed area morphometric parameters (Linear and Shape). In various works of literature, the compound parameter (Cp) model is a very precise way for evaluating earth surface attributes, particularly for the basin scale, and it is widely utilized for sustainable water resource management and scientific planning of sub-watersheds in datascarce locations (Altaf et al 2014;Benzougagh et al 2016Benzougagh et al , 2017Hembram and Saha 2020). Linear parameters have a direct relationship with erodibility; the higher the value, the higher is the erodibility.…”