In a waste management context, predicting
the mobility of contaminants
is essential. A key issue entails assessing the applicability of current
knowledge on adsorption processes to natural systems. Such is the
focus herein for nickel in interaction with Callovo-Oxfordian (COx)
clay rock, a formation selected in France for possible radioactive
waste disposal. The challenge is to link predictive modeling results
with the experimental data characterizing the behavior of the labile
and naturally occurring Ni fraction by implementing a new simple method.
Retention studies on compact systems serve to complete this work.
Combined electron microprobe and laser ablation high-resolution inductively
coupled plasma mass spectrometry data show that natural Ni (∼39
mg kg–1) is homogeneously distributed within the
clay matrix, which corresponds to the main reservoir (∼70%).
Data interpretation of desorption tests yields an in situ
K
d value of ∼80 L kg–1 and a labile Ni amount of ∼5 mg kg–1, that
is, ∼13% of the Ni inventory. Predictive modeling explains
the sorption data in considering that only weak clay fraction sites
take part in the adsorption. The role of the clay matrix in Ni retention
is confirmed by analyzing the Ni-spiked compact COx samples, whereby
an increase of the Ni content in the clay fraction is observed following
the retention experiment.