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Determining the Relation between Soil Erodibility and Spatial Variability of Erosion Properties Using Geostatistical Techniques at the Alqueva Reservoir Area

机译:用地统计技术确定阿尔克瓦水库库区土壤侵蚀性与侵蚀性空间变异性之间的关系

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Soil erosion risk assessment at the watershed of Alqueva is urgently needed to conserve water resources and prevent the accelerated dam siltation. The variation of soil properties is one of the most important reasons for the spatial variability of vegetation cover and erosion. In order to achieve more and better management of rangelands around the largest reservoir of Europe, it is essential to evaluate how the soil properties as well plant cover in regard to the introduced change in distribution are estimated. Therefore, using geo-statistical techniques, this study was conducted to assess the relation of the spatial variability of soil erosion to soil properties. The statistical results showed that most variables had a normal distribution. Graphical interpretation of soil properties was performed using ordinary kriging. There were high correlation between vegetation cover, soil texture (sand and silt fraction), hydraulic conductivity and soil erodibility values. The lowest and the highest coefficient of variation were found with organic matter (2.17%) and vegetation cover (60.14%), respectively. The semi-variogram analysis showed that the effective range vary from 150m for silt to 20100m for the K of the soil, with optimal distance to determine erodibility the 1250m. The parameters of soil texture showed more spatial dependency than those of the organic matter. As a whole, the maps obtained by Kriging showed that the soil properties and spatial variability of vegetation cover did not have a random pattern and depended on the conditions of the region.
机译:迫切需要对Alqueva流域的土壤侵蚀风险进行评估,以节约水资源并防止大坝淤积加速。土壤特性的变化是造成植被覆盖和侵蚀空间变化的最重要原因之一。为了对欧洲最大的水库周围的牧场进行更好的管理,有必要评估如何根据引入的分布变化估算土壤特性和植物覆盖率。因此,使用地统计学技术进行了这项研究,以评估土壤侵蚀的空间变异性与土壤特性之间的关系。统计结果表明,大多数变量具有正态分布。使用常规克里金法对土壤性质进行图形解释。植被覆盖度,土壤质地(沙和粉质分数),水力传导率和土壤侵蚀性值之间具有高度相关性。分别以有机质(2.17%)和植被覆盖度(60.14%)发现最低和最高变异系数。半变异函数分析表明,有效范围从淤泥的150m到土壤K的20100m不等,最佳距离可确定1250m的可蚀性。土壤质地的参数显示出比有机质更多的空间依赖性。总体而言,通过克里格(Kriging)获得的地图显示,植被的土壤特性和空间变异性不是随机的,而是取决于该地区的条件。

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