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Title:
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When soils become sediments: large-scale storage of soils in sandpits and lakes and the impact of reduction kinetics on heavy metals and arsenic release to groundwater
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Author(s):
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Zomeren, A. van; Dijkstra, J.J.; Vink, J.P.M.; Comans, R.N.J. |
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Published by:
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Publication date:
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ECN
Environment & Energy Engineering
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8-5-2017
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ECN report number:
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Document type:
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ECN-W--17-008
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Article (scientific)
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Number of pages:
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0
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Abstract:
Simulating the storage of aerobic soils under water, the chemical speciation of heavy metals and arsenic was studied over a long-term reduction period. Time-dynamic and redox-discrete measurements in reactors were used to study geochemical changes. Large kinetic differences in the net-complexation quantities of heavy metals with sul?des was observed, and elevated pore water concentrations remained for a prolonged period (>1 year) speci?cally for As, B, Ba, Co, Mo, and Ni. Arsenic is associated to the iron phases as a co-precipitate or sorbed fraction to Fe-(hydr)oxides, and it is being released into solution as a consequence of the reduction of iron. The composition of dissolved organic matter (DOM) in reducing pore water was monitored, and relative contributions of fulvic, humic and hydrophylic compounds were measured via analytical batch procedures. Quantitative and qualitative shifts in organic compounds occur during reduction; DOM increased up to a factor 10, while fulvic acids become dominant over humic acids which disappear altogether as reduction progresses. Both the hydrophobic and hydrophilic fractions increase and may even become the dominant fraction.
Reactive amorphous and crystalline iron phases, as well as dissolved FeII/FeIII speciation, were
measured and used as input for the geochemical model to improve predictions for risk assessment to suboxic and anaerobic environments. The release of arsenic is related to readily reducible iron fractions that may be identi?ed by 1 mM CaCl2 extraction procedure. Including DOM concentration shifts and compositional changes during reduction signi?cantly improved model simulations, enabling the prediction of peak concentrations and identi?cation of soils with increased emission risk. Practical methods are suggested to facilitate the practice of environmentally acceptable soil storage under water.
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