Estimation and mapping of water erosion and soil loss: Application of Gavrilovic erosion potential model (EPM) using GIS and remote sensing in the Assif el mal Watershed, Western high Atlas

IF 4.6 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY China Geology Pub Date : 2024-10-25 DOI:10.31035/cg2023058
Kabili Salma , Algouti Ahmed , Algouti Abdellah , Ezzahzi Salma
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Abstract

Water erosion is a serious problem that leads to soil degradation, loss, and the destruction of structures. Assessing the risk of erosion and determining the affected areas has become crucial in order to understand the main factors influencing its evolution and to minimize its impacts. This study focuses on evaluating the risk of erosion in the Assif el mal watershed, which is located in the High Atlas Mountains. The Erosion Potential Model (EPM) is used to estimate soil losses depending on various parameters such as lithology, hydrology, topography, and morphometry. Geographic information systems and remote sensing techniques are employed to map areas with high erosive potential and their relationship with the distribution of factors involved. Different digital elevation models are also used in this study to highlight the impact of data quality on the accuracy of the results. The findings reveal that approximately 59% of the total area in the Assif el mal basin has low to very low potential for soil losses, while 22% is moderately affected and 19.9% is at high to very high risk. It is therefore crucial to implement soil conservation measures to mitigate and prevent erosion risks.
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水侵蚀和土壤流失的估算与绘图:利用地理信息系统和遥感技术在西高阿特拉斯 Assif el mal 流域应用 Gavrilovic 侵蚀潜力模型 (EPM)
水土流失是一个严重的问题,会导致土壤退化、流失和结构破坏。为了了解影响水土流失演变的主要因素并将其影响降至最低,评估水土流失风险和确定受影响地区已变得至关重要。本研究的重点是评估位于高阿特拉斯山脉的 Assif el mal 流域的侵蚀风险。侵蚀潜力模型(EPM)用于估算土壤流失量,具体取决于岩性、水文、地形和形态等各种参数。地理信息系统和遥感技术被用来绘制侵蚀潜力大的地区及其与相关因素分布的关系图。本研究还使用了不同的数字高程模型,以突出数据质量对结果准确性的影响。研究结果表明,阿西夫埃尔马尔盆地总面积中约有 59% 的地区土壤流失潜力较低或很低,22% 的地区受影响程度一般,19.9% 的地区风险较高或很高。因此,实施土壤保持措施以减轻和预防侵蚀风险至关重要。
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来源期刊
China Geology
China Geology GEOLOGY-
CiteScore
7.80
自引率
11.10%
发文量
275
审稿时长
16 weeks
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