低于检出限土壤中化学元素含量的分布规律及评价

Yu N. Vodyanitskii , A.T. Savichev
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引用次数: 0

摘要

土壤中有样品,其中任何元素的含量都低于检测限度(例如,x射线荧光分析)。为了揭示极低的元素含量,我们可以通过回归分析获得其含量与剖面中常见化学类似物的依赖关系。最有效的方法是应用幂回归方程,将低克拉克镧系元素含量与高克拉克镧系元素含量、低克拉克溴含量与土壤中高-Сlarke卤氯含量联系起来。高克拉克镧系元素的正态分布逐渐过渡到低克拉克镧系元素的对数正态分布。幂回归方法使我们能够从总计量误差中分离出回归相对误差。回归相对误差的大小限制了对土壤中低于检出限的分散元素含量的估计,而回归相对误差的估计对于元素地球化学关系的构建具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distribution law and evaluation of chemical elements contents in soils below the detection limit

There are samples in soils, where the content of any element falls below the limit of detection (for example, X-ray fluorescence analysis). To reveal a very low element content, we can achieve by regression analysis to obtain the dependence of its content from a common chemical analogue in profile. The most effective approach is the application of power regression equation, connecting low-Clarke lanthanides contents with high-Clarke lanthanides contents and low-Clarke bromine content with the high-Сlarke halogen chlorine in soils.

There is a gradual transition from the normal distribution of high-Clarke lanthanides to lognormal distribution in low-Clarke lanthanides. The power regression approach allowed us to separate the regression relative error from the total metrological error. Estimation of the content of dispersed elements in the soil below the detection limit is limited by the magnitude of the regression relative error, and an estimation of the regression relative error is important for the construction of geochemical relationships of the elements.

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