Vandenhove H, Van Hees M, Wouters K, Wannijn J
Belgian Nuclear Research Centre, Department of Radiation Protection Research, Radioecology Section, Boeretang 200, 2400 Mol, Antwerp, Belgium.
Environ Pollut. 2007 Jan;145(2):587-95. doi: 10.1016/j.envpol.2006.04.011. Epub 2006 Jun 15.
Present study aims to quantify the influence of soil parameters on soil solution uranium concentration for (238)U spiked soils. Eighteen soils collected under pasture were selected such that they covered a wide range for those parameters hypothesised as being potentially important in determining U sorption. Maximum soil solution uranium concentrations were observed at alkaline pH, high inorganic carbon content and low cation exchange capacity, organic matter content, clay content, amorphous Fe and phosphate levels. Except for the significant correlation between the solid-liquid distribution coefficients (K(d), L kg(-1)) and the organic matter content (R(2)=0.70) and amorphous Fe content (R(2)=0.63), there was no single soil parameter significantly explaining the soil solution uranium concentration (which varied 100-fold). Above pH=6, log(K(d)) was linearly related with pH [log(K(d))=-1.18 pH+10.8, R(2)=0.65]. Multiple linear regression analysis did result in improved predictions of the soil solution uranium concentration but the model was complex.
本研究旨在量化土壤参数对添加了（238）U的土壤中土壤溶液铀浓度的影响。选取了18种在牧场下采集的土壤，使其涵盖了那些被假设为在决定铀吸附方面可能重要的参数的广泛范围。在碱性pH值、高无机碳含量以及低阳离子交换容量、有机质含量、粘土含量、无定形铁和磷酸盐水平下观察到了最大土壤溶液铀浓度。除了固液分配系数（K(d)，L kg(-1)）与有机质含量（R(2)=0.70）和无定形铁含量（R(2)=0.63）之间存在显著相关性外，没有单一的土壤参数能显著解释土壤溶液铀浓度（其变化达100倍）。在pH>6时，log(K(d))与pH呈线性关系[log(K(d))=-1.18 pH+10.8，R(2)=0.65]。多元线性回归分析确实提高了对土壤溶液铀浓度的预测，但该模型很复杂。
