Jakob Andreas, Mazurek Martin, Heer Walter
Waste Management Laboratory LES, Paul Scherrer Institute, OFLA/203, 5232 Villigen-PSI, Switzerland.
J Contam Hydrol. 2003 Mar;61(1-4):175-90. doi: 10.1016/S0169-7722(02)00136-5.
Based on the results from detailed structural and petrological characterisation and on up-scaled laboratory values for sorption and diffusion, blind predictions were made for the STT1 dipole tracer test performed in the Swedish Aspö Hard Rock Laboratory. The tracers used were nonsorbing, such as uranine and tritiated water, weakly sorbing 22Na(+), 85Sr(2+), 47Ca(2+)and more strongly sorbing 86Rb(+), 133Ba(2+), 137Cs(+). Our model consists of two parts: (1) a flow part based on a 2D-streamtube formalism accounting for the natural background flow field and with an underlying homogeneous and isotropic transmissivity field and (2) a transport part in terms of the dual porosity medium approach which is linked to the flow part by the flow porosity. The calibration of the model was done using the data from one single uranine breakthrough (PDT3). The study clearly showed that matrix diffusion into a highly porous material, fault gouge, had to be included in our model evidenced by the characteristic shape of the breakthrough curve and in line with geological observations. After the disclosure of the measurements, it turned out that, in spite of the simplicity of our model, the prediction for the nonsorbing and weakly sorbing tracers was fairly good. The blind prediction for the more strongly sorbing tracers was in general less accurate. The reason for the good predictions is deemed to be the result of the choice of a model structure strongly based on geological observation. The breakthrough curves were inversely modelled to determine in situ values for the transport parameters and to draw consequences on the model structure applied. For good fits, only one additional fracture family in contact with cataclasite had to be taken into account, but no new transport mechanisms had to be invoked. The in situ values for the effective diffusion coefficient for fault gouge are a factor of 2-15 larger than the laboratory data. For cataclasite, both data sets have values comparable to laboratory data. The extracted K(d) values for the weakly sorbing tracers are larger than Swedish laboratory data by a factor of 25-60, but agree within a factor of 3-5 for the more strongly sorbing nuclides. The reason for the inconsistency concerning K(d)s is the use of fresh granite in the laboratory studies, whereas tracers in the field experiments interact only with fracture fault gouge and to a lesser extent with cataclasite both being mineralogically very different (e.g. clay-bearing) from the intact wall rock.
基于详细的结构和岩石学特征结果以及吸附和扩散的放大实验室值,对在瑞典阿斯波硬岩实验室进行的STT1偶极子示踪剂测试进行了盲预测。所使用的示踪剂包括非吸附性的,如铀酰离子和氚水;弱吸附性的22Na(+)、85Sr(2+)、47Ca(2+);以及强吸附性的86Rb(+)、133Ba(2+)、137Cs(+)。我们的模型由两部分组成:(1) 流动部分基于二维流管形式,考虑了自然背景流场以及具有潜在的均匀各向同性导水率场;(2) 输运部分采用双重孔隙介质方法,通过流动孔隙率与流动部分相联系。模型校准使用了单个铀酰离子突破(PDT3)的数据。研究清楚地表明,必须将基质扩散到高孔隙率材料断层泥中的情况纳入我们的模型,这由突破曲线的特征形状证明,并与地质观测结果一致。在测量结果公布后发现,尽管我们的模型很简单,但对非吸附性和弱吸附性示踪剂的预测相当不错。对强吸附性示踪剂的盲预测总体上不太准确。预测结果良好的原因被认为是模型结构的选择很大程度上基于地质观测的结果。对突破曲线进行反向建模以确定输运参数的原位值,并对所应用的模型结构得出结论。为了获得良好的拟合,只需要考虑与碎裂岩接触的一个额外裂隙组,但无需引入新的输运机制。断层泥有效扩散系数的原位值比实验室数据大2至15倍。对于碎裂岩,两组数据的值与实验室数据相当。弱吸附性示踪剂提取的K(d)值比瑞典实验室数据大25至60倍,但对于强吸附性核素,两者在3至5倍的范围内一致。K(d)不一致的原因是实验室研究中使用的是新鲜花岗岩,而现场实验中的示踪剂仅与裂隙断层泥相互作用,并且在较小程度上与碎裂岩相互作用,这两者在矿物学上与完整围岩有很大差异(例如含粘土)。