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首页> 外文期刊>The Science of the Total Environment >Spatial variability of the soil erodibility parameters and their relation with the soil map at subgroup level
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Spatial variability of the soil erodibility parameters and their relation with the soil map at subgroup level

机译：亚群水平上土壤侵蚀性参数的空间变异性及其与土壤图的关系

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摘要

This project takes a look at the variation of the parameters related to soil erodibility (fractions of clay, silt, fine and coarse sand; organic matter, permeability, and structure) coming from soil pits from the Community of Madrid's soil map (Spain), according to Soil Taxonomy at subgroup level. It draws the conclusion that map erodibility shouldn't be estimated from a soil map because the K factor obtained does not present significant differences among the different types of soil. One or more key factors related with soil erodibility must be taken into account if erodibility maps are to be drawn. This research has shown that silt and structure could be considered key factors for erodibility maps of the area, but not significant differences have been found in important factors such as clay or organic matter due to the wide range of data variance. In order to elaborate erosion risk maps the use of the K factor from the physiographical map is a good alternative. When data are grouped according to these criteria significant differences in K factor are shown. Erodibility was greater in soils developed over gypsic material, with a value of 0.63 ±0.28, than in high plateaus (locally know as alcarrias), with a value of 0.40±0.18. In order to adequately represent soil erodibility, a kriging geostatistic technique is used, which reduces the variation of the factors considered when they are found to correlate, as is the case with the parameters considered to calculate K factor.
机译：该项目研究了来自马德里共同体土壤图（西班牙）的土壤坑中与土壤易蚀性有关的参数变化（粘土，淤泥，细砂和粗砂的分数；有机物，渗透性和结构），根据子类别的土壤分类法。它得出的结论是，不应从土壤图上估算图的可蚀性，因为获得的K因子在不同类型的土壤之间没有显着差异。如果要绘制可蚀性图，必须考虑与土壤可蚀性有关的一个或多个关键因素。这项研究表明，泥沙和结构可能被认为是该地区可蚀性图的关键因素，但由于数据差异范围广，在诸如粘土或有机物等重要因素中并未发现显着差异。为了详细说明侵蚀风险图，可以使用物理图谱中的K因子。当根据这些标准对数据进行分组时，会显示出K因子的显着差异。相对于高海拔高原地区（当地称为石灰岩），在比石膏材料发育的土壤中的可蚀性更大，值为0.63±0.28。为了充分表示土壤的可蚀性，使用了克里金（Kriging）地统计技术，该技术减少了发现相关因素时考虑的因素的变化，就像考虑用于计算K因素的参数一样。

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