Erosion patterns, drainage dynamics, and their environmental implications: a case study of the hammamet basin using advanced geospatial and morphometric analysis

Abstract

AbstractUnderstanding erosion patterns and drainage conditions is crucial for optimizing agricultural productivity and for addressing the challenges of wastewater treatment. To achieve this, we employed a comprehensive approach, combining the morphometric method with weighted sum and Geospatial techniques. Utilizing a 30-m-wide Digital Elevation Model (DEM), specifically the Aster DEM, and leveraging ArcGIS software, we meticulously delineated drainage systems and watershed boundaries. Through the application of standard formulas, we calculated areal, linear, and relief parameters to effectively rank and prioritize the sub-watersheds. Our examination led to the calculation of a composite factor, determined through an assessment of 18 morphometric criteria employing a weighted summation approach for each subcatchment. The outcomes of our research unveiled a wide range of compound factor values, spanning from − 0.128 to 9.28. This study underscores the pivotal role of the minimal compound factor value in determining the sustainability of sub-watersheds. As a practical illustration, we found that Basin 3 exhibited superior sustainability when compared to Basin 4, primarily attributable to soil erosion issues in the latter. Sub-watersheds were additionally grouped into classes according to their composite factor values, commonly characterized as highly favorable, favorable, intermediate, or unfavorable, providing insights into their vulnerability to erosion. Moreover, our research pinpointed Basin 4 and Basin 7 as highly vulner able to soil erosion, with a combined area of 294.9 km2. The implications for wastewater treatment are significant in these areas, as proper water and soil conservation techniques are imperative not only for the sustainable management of these lands but also for mitigating the environmental impact of the wastewater treatment process.