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Spatial assessment of soil erosion risk by integrating remote sensing and GIS techniques: a case of Tensift watershed in Morocco
Environmental Earth Sciences ( IF 2.8 ) Pub Date : 2020-05-09 , DOI: 10.1007/s12665-020-08955-y
Modeste Meliho , Abdellatif Khattabi , Nadia Mhammdi

Soil erosion is the most crucial factor in land degradation in semi-arid areas. Natural climatic, edaphic, and topographic conditions, and human activities have made Morocco vulnerable to soil erosion. At the watershed scale, soil erosion assessment is of great importance in conservation strategies. The aim of this study is to assess soil erosion risk in Tensift watershed using the RUSLE model. Remote sensing (RS) and GIS were used to generate maps of RUSLE factors such as rainfall erosivity (R), soil erodibility (K), slope length and steepness (LS), cover management (C), and conservation practices (P) factors. The relationship between land use/cover, slope, elevation, geology, and soil erosion was analyzed. The annual soil erosion map made it possible to evaluate the average soil loss at 44.03 t/ha/year in the Tensift watershed. Soil loss assessment indicates that 30.43% of the watershed was subject to high-to-extremely high soil losses greater than 25 t/ha/year, while 69.57% of the watershed was still experiencing light and moderate soils losses less than 25 t/ha/year. The lower part of the watershed mainly experienced slight soil erosion, whereas the upstream portion was subject to high-to-extremely high soil erosion rates. Slope gradient and LS factor are correlated with soil loss with correlation coefficients of 0.57 and 0.55, respectively. The relationship between land use and soil erosion indicates that barren land and scrubland on steep slopes have a high rate of soil erosion. Thus, sustainable soil erosion prevention methods should be implemented in the upper part of the Tensift watershed to reduce soil erosion.

中文翻译:

结合遥感和GIS技术对土壤侵蚀风险进行空间评估:以摩洛哥Tensift流域为例

土壤侵蚀是半干旱地区土地退化的最关键因素。自然的气候,水文和地形条件以及人类活动使摩洛哥容易遭受土壤侵蚀。在流域范围内,水土流失评估在保护策略中非常重要。这项研究的目的是使用RUSLE模型评估Tensift流域的土壤侵蚀风险。遥感(RS)和GIS用于生成RUSLE因素的地图,例如降雨侵蚀力(R),土壤易蚀性(K),坡长和陡度(LS),覆盖管理(C)和保护措施(P)因素。分析了土地利用/覆盖率,坡度,海拔,地质和土壤侵蚀之间的关系。年度土壤侵蚀图使得在Tensift流域评估平均土壤流失量为44.03吨/公顷/年。土壤流失评估表明,流域中有30.43%的土壤流失量达到每年25t / ha / hm2以上,而流域中仍有69.57%的土壤流失量小于25 t / ha的土壤为轻度和中度。 /年。流域的下部主要受到轻微的水土流失,而上游部分则遭受高至极高的水土流失率。坡度和LS因子与土壤流失相关,相关系数分别为0.57和0.55。土地利用与土壤侵蚀之间的关系表明,陡坡上的荒地和灌丛具有较高的土壤侵蚀率。因此,应在Tensift流域的上部实施可持续的水土流失防治方法,以减少水土流失。
更新日期:2020-05-09
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