Université Lille Nord de France, 59000 Lille, France.
Environ Pollut. 2012 Jan;160(1):130-8. doi: 10.1016/j.envpol.2011.09.008. Epub 2011 Oct 14.
An investigation was undertaken to identify the most significant soil parameters that can be used to predict Cd, Pb, and Zn bioaccessibility in smelter-contaminated agricultural soils. A robust model was established from an extended database of soils by using: (i) a training set of 280 samples to select the main soil parameters, to define the best population to be taken into account for the model elaboration, and to construct multivariate regression models, and (ii) a test set of 110 samples to validate the ability of the regression models. Total carbonate, organic matter, sand, P(2)O(5), free Fe-Mn oxide, and pseudototal Al and trace element (TE) contents appeared as the main variables governing TE bioaccessibility. The statistical modeling approach was reasonably successful, indicating that the main soil factors influencing the bioaccessibility of TEs were taken into account and the predictions could be applicable for further risk evaluation in the studied area.
开展了一项调查，以确定可用于预测冶炼厂污染农田中 Cd、Pb 和 Zn 生物可利用性的最重要土壤参数。通过使用：(i) 一个由 280 个样本组成的训练集来选择主要土壤参数，以确定最佳的样本群体来进行模型阐述，并构建多元回归模型，以及 (ii) 一个由 110 个样本组成的测试集来验证回归模型的能力，从扩展的土壤数据库中建立了一个稳健的模型。总碳酸盐、有机质、砂、P(2)O(5)、游离 Fe-Mn 氧化物以及假总 Al 和微量元素 (TE) 含量是控制 TE 生物可利用性的主要变量。统计建模方法相当成功，表明影响 TE 生物可利用性的主要土壤因素已被考虑在内，预测结果可适用于研究区域的进一步风险评估。
