The direct estimation of the value of the diffusion component of mass transfer of pollutants in arable soil horizons is an important task of scientific and applied importance. The values of effective diffusion coefficients of 60Co radionuclide (Deff) in water-saturated samples of different soils with disturbed structure and the same initial bulk density were obtained during the laboratory experiment. Of particular interest is the assessment of the contribution of individual specific characteristics of soils that have undergone the gleying process to the regulation of Deff60Co.There was noted a significant variability of Deff60Co for investigated soils due to different soil characteristics. To assess this, influence a statistical approach has been used, where edaphic factors representing the most important characteristics of the soils acted as independent variables (predictors), and the dependent (resulting) variable was Deff60Co. The contributions of each of the selected indicators of soils state (independent variables) in varying of Deff60Co were also identified. During the experiments, there was revealed a particularly strong increase in the Deff60Co for soils with a high Eh, ΣFr.<0.01 mm and decrease in the absolute value of the dependent variable with two predictors: pHH2O and P2O5mobile in conditions of excessive moisture. Based on the study of the dependence between the main physicochemical soil properties and the magnitude of effective diffusion coefficients (Deff60Co), the selected physicochemical characteristics of soils were ranked by the degree of influence on the value of the dependent variable: pHH2O > Eh > ΣFr.<0.01 mm > P2O5mobile > Corg.At the same time, the multiple linear regression analysis of the obtained data showed statistical significance for two independent predictors of the model (pHH2O and ΣFr.<0.01 mm). As a result, semi-partial determination coefficients responsible for the share of the total variation of the dependent variable due to the statistically significant corresponding independent variables (pHH2O and ΣFr.<0.01 mm) were calculated based on the data presented.

中文翻译：

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土壤性质对60Co扩散速率综合影响的研究。

直接估算耕地土壤中污染物传质扩散成分的值是一项重要的科学和应用重要性的任务。在实验室实验中，获得了60Co放射性核素（Deff）在结构受扰动且初始容重相同的不同土壤的水饱和样品中的有效扩散系数值。特别令人感兴趣的是评估经历了回旋过程的土壤的各个特定特性对Deff60Co的调节的贡献。由于不同的土壤特性，Def60Co对于被调查土壤具有显着的变异性。为了评估这一点，我们采用了影响力统计方法，其中代表土壤最重要特征的土壤环境因素作为自变量（预测变量），因变量（结果）为Deff60Co。还确定了每种选定的土壤状态指标（独立变量）对Deff60Co变化的贡献。在实验过程中，发现对于Eh高，ΣFr。<0.01 mm的土壤，Deff60Co的增加特别明显，在水分过多的情况下，pHH2O和P2O5流动性这两个预测因子的因变量绝对值降低。基于对主要理化土壤性质与有效扩散系数（Deff60Co）大小之间的依赖性的研究，根据对pHH2O> Eh>ΣFr。<0.01 mm> P2O5mobile> Corg的因变量值的影响程度对土壤的选定理化特性进行排序，同时对所得数据进行多元线性回归分析该模型的两个独立预测变量（pHH2O和ΣFr。<0.01 mm）的统计显着性。结果，基于给出的数据，计算了因统计上显着的相应自变量（pHH2O和ΣFr。<0.01 mm）而导致因变量的总变化所占份额的半部分确定系数。所得数据的多元线性回归分析表明，该模型的两个独立预测变量（pHH2O和ΣFr。<0.01 mm）具有统计学意义。结果，基于给出的数据，计算了因统计上显着的相应自变量（pHH2O和ΣFr。<0.01 mm）而导致因变量的总变化所占份额的半部分确定系数。所得数据的多元线性回归分析表明，该模型的两个独立预测变量（pHH2O和ΣFr。<0.01 mm）具有统计学意义。结果，基于给出的数据，计算了因统计上显着的相应自变量（pHH2O和ΣFr。<0.01 mm）而导致因变量的总变化所占份额的半部分确定系数。