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Regionalization of Magnetic Susceptibility Measurements Based on a Multiple Regression Approach

机译:基于多元回归方法的磁化率测量区域化

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摘要

The article presents results of a case study in northeastern Germany, where magnetic susceptibility assessment was carried out at grid-wise field measurements. The measurements were clustered into three different depth levels, which represent the humus layer, the transition zone between humus layer and mineral horizon, and the mineral horizon. Taking these three depth levels, a multiple regression-based regionalization approach was applied, testing and using additional environmental parameters derived from geology, topography, and stand type with the aim to develop a comprehensive model for spatial variability of magnetic susceptibility. Spatial variation of magnetic susceptibility was predicted with a high precision by the multiple linear regression models. A slightly differing set of model parameters was selected for the single depth levels. In tendency, magnetic susceptibility values in depth level 6-10 cm were best explained by the distance to Bitterfeld and by soil properties. In depth level 11-15 cm, variablesrnwhich describe the orographic conditions and stand properties gain in importance. In depth level 21-25 cm, variables indicating soil and site properties disappear completely. Here, aspect and land surface characteristics play a major role together with stand properties. A spatial stratification of the model for a distance of up to 25 km to the former emitters provided a further improvement of the model quality considering the prediction of small-scale variations of magnetic susceptibility.
机译:本文介绍了在德国东北部的一个案例研究的结果,该案例在磁化场测量中进行了磁化率评估。测量结果分为三个不同的深度级别,分别代表腐殖质层,腐殖质层与矿物层位之间的过渡带以及矿物层位。在这三个深度级别上,采用了基于多元回归的区域化方法,测试并使用了从地质,地形和林分类型得出的其他环境参数,目的是开发磁化率空间变异性的综合模型。多元线性回归模型可高精度预测磁化率的空间变化。为单个深度级别选择了一组略有不同的模型参数。从趋势上看,到Bitterfeld的距离和土壤性质最好地解释了6-10 cm深度的磁化率值。在11-15厘米深处,描述地形条件和林分特性的变量变得越来越重要。在21-25 cm的深度水平中,指示土壤和场地特性的变量完全消失。在这里,地形和陆地表面特征与林分特性一起起主要作用。考虑到磁化率小范围变化的预测,与前一个发射器之间的距离最远为25 km,模型的空间分层进一步改善了模型质量。

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