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首页> 外文期刊>Natural Hazards >A GIS-based soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) (Lebna watershed, Cap Bon, Tunisia)
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A GIS-based soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) (Lebna watershed, Cap Bon, Tunisia)

机译:使用修订的通用土壤流失方程 (RUSLE) 进行基于 GIS 的土壤侵蚀预测(突尼斯 Cap Bon,Lebna 流域)

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摘要

Soil erosion is a natural process causing grave land degradation problems. In Tunisia, soil erosion represents a serious environmental problem. Both man-made and natural phenomenon is reducing acres of agricultural land. The problem of soil erosion by water is very critical in Lebna watershed. In fact, Lebna is a town in the northeast of Tunisia and it seems high time to protect water and ground resources and to prevent the Lebna dam situated in the downstream from silting. In this context, the application of geographic RUSLE model using the techniques of geographic information system (GIS) and remote sensing has made it possible to assess the estimation of the soil erosion risk at the targeted watershed. This model is composed of several factors associated with climate, topography, soil and vegetation. The spatial distribution of annual average rate of soil loss resulting of this methodology shows an average of 24 ton/ha/year. Consequently, this method based on a combination of RUSLE as erosion model gave very similar results with bathymetric measures performed by Institute of Research for Development. It was about 29 ton/ha/year. Accordingly, Lebna watershed belongs to a zone of rather a steep erosive potential knowing that the maximum acceptable limit value of the erosive potential estimated is 12 ton/ha/year (Roose in Introduction A la gestion conservatoire de l'eau, de la biomasse et de la fertilit, des sols (GCES). FAORome, 1994). The results have shown that Lebna watershed has a serious risk on soil erosion on sloping land. The highest values are mainly associated with the steep slopes, poor conservation practices, low vegetation cover and high rainfall. The final soil loss map can be thus a base to plan appropriate strategies for decision-makers to avoid soil erosion risks and consequently to lengthen dam life.
机译:土壤侵蚀是一个自然过程,造成严重的土地退化问题。在突尼斯,水土流失是一个严重的环境问题。人为现象和自然现象都在减少农业用地的英亩数。水土流失问题在莱布纳流域非常严重。事实上,莱布纳是突尼斯东北部的一个小镇,现在似乎是保护水和地下资源并防止位于下游的莱布纳大坝淤积的时候了。在这方面,利用地理信息系统(GIS)和遥感技术应用地理RUSLE模型,可以评估目标流域土壤侵蚀风险的估计。该模型由与气候、地形、土壤和植被相关的几个因素组成。该方法导致的年平均土壤流失率的空间分布显示平均为24吨/公顷/年。因此,这种基于RUSLE组合作为侵蚀模型的方法与发展研究所进行的测深测量结果非常相似。大约是29吨/公顷/年。因此,莱布纳流域属于一个侵蚀潜力相当陡峭的区域,因为我们知道估计的侵蚀潜力的最大可接受极限值为12吨/公顷/年(Roose in Introduction A la gestion conservatoire de l'eau, de la biomasse et de la fertilit, des sols (GCES)。粮农组织,1994年)。结果表明,莱布纳流域对坡地土壤侵蚀存在严重风险。最高值主要与陡峭的斜坡、不良的保护措施、低植被覆盖和高降雨量有关。因此,最终的土壤流失图可以作为决策者规划适当策略的基础,以避免土壤侵蚀风险,从而延长大坝寿命。

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