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Application of Surface Complexation/Precipitation Modeling to Contaminant Leaching from Weathered Municipal Solid Waste Incinerator Bottom Ash

Meima, Jeannet A., Comans, Rob N. J.·1998·Environmental Science & Technology

Abstract

In this paper, we have successfully applied surface complexation/precipitation modeling to describe the leaching of contaminants from weathered municipal solid waste incinerator (MSWI) bottom ash. A combination of ‘selective' chemical extractions and leaching at pH values unfavorable for sorption has been shown to be useful for obtaining sorbent mineral and sorbate concentrations. Model calcula tions are based on the Diffuse Layer Model and a database of sorption constants for hydrous ferric oxide (HFO), both of which are incorporated in the computer code MINTEQA2. This approach to sorption modeling shows that the leaching of Mo, Pb, and Cu from weathered MSWI bottom ash is well described by surface complexation, whereas the surface precipitation model is needed to describe the leaching data of Zn. The leaching of Cd cannot be explained with these models since the affinity of Cd for HFO is too low. Our results suggest that Mo and Zn are bound mainly to HFO. Additional sorbent minerals, e.g., amorphous aluminum (hydr)oxides, are required to describe the leaching of Cu and Pb.

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Metadata

Authors
Meima, J. A., & Comans, R. N. J.
Venue
Environmental Science & Technology
Published
1998-01-22
Volume
32
Issue
5
Pages
688-693
ISSN
  • 0013-936X (ISSN-L)
  • 1520-5851
OpenAlex
W1981196977
Cited by
181
References
0
FWCI
33.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Application of Surface Complexation/Precipitation Modeling to Contaminant Leaching from Weathered Municipal Solid Waste Incinerator Bottom Ash. https://app.cochat.ai/papers/10.1021/es9701624
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Meima, J. A., & Comans, R. N. J. (1998). Application of Surface Complexation/Precipitation Modeling to Contaminant Leaching from Weathered Municipal Solid Waste Incinerator Bottom Ash. Environmental Science & Technology. https://doi.org/10.1021/es9701624

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