2002 Denver Annual Meeting (October 27-30, 2002)

Paper No. 8
Presentation Time: 1:30 PM-5:30 PM

EFFECT OF COMPLEXATION ON COPPER MOBILITY IN LANDFILL LEACHATE POLLUTED GROUNDWATER: A EXPERIMENTALLY VALIDATED CONCEPTUAL MODEL FOR MODELING HEAVY METALS TRANSPORT


CAI, Zuansi, Groundwater Protection and Restoration Group,Department of Civil and Structural Engineering, University of Sheffield, Sir Frederick Mappin Building, Mapin Street, Sheffield, S1 3JD, United Kingdom and CHRISTENSEN, Thomas H., Department of Enviroment & Resources, Technical University of Denmark, Building 115, Lyngby, 2800, Denmark, zu.cai@sheffield.ac.uk

The mobility of trace metals in aquatic environment is often characterized by distribution coefficient, Kd, define as the ratio of metal concentration in the solid phase to that in solution at equilibrium. However, large variations of Kd with a given pH have been reported, thus making it difficult to select an appropriate Kd to use in trace metal transport modeling. A conceptual model, Kd  = Kd, ion * fion, was established for the purpose of predicting Kd values in a variety of aquatic environments, assuming that solid surface only sorbs free metal ion (i.e., organic and inorganic complexes can not sorb) in solution. Thus, for a sorbent material (i.e., sandy aquifer material or soils) the variation of observed trace metal Kd at a given pH value can be explained mainly as a result of the metal complexation in the solution.

Laboratory batch studies (two sandy aquifer materials, landfill leachate polluted groundwater with DOC (163 mg/l) and without DOC of salt matrix), ion-exchange speciation techniques and WHAM model (Tipping, 1994) speciation were conducted to investigate copper mobility in DOC contaminated groundwater in terms of Kd variation with pH to test the conceptual model. Also, Kd values and speciation from 82 copper contaminated soil samples reported in the literature were used to re-evaluate the conceptual model. The investigations confirmed the model was capable of predicting Kd values of copper, at a mean deviation of about 0.5 orders of magnitude at pH 5-8 in our study, and a fair prediction for a variety of contaminated soils at pH 5-8. Two empirical equations for Kd,ion values of copper correlated with pH at pH 5-8 were generated in this study for sandy aquifer materials and contaminated soils.

This study suggests that the combination of the conceptual model with empirical Kd,ion values might be an useful approach in a reactive transport model coupled with speciation model or geochemical model for modeling long-term metal contamination transport at field scale.