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Heavy Metals in Contaminated Soils: A Review of Sources, Chemistry, Risks and Best Available Strategies for Remediation

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Wuana, Raymond A., Okieimen, Felix E.·2011·ISRN Ecology
DOI 10.5402/2011/402647
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Abstract

Scattered literature is harnessed to critically review the possible sources, chemistry, potential biohazards and best available remedial strategies for a number of heavy metals (lead, chromium, arsenic, zinc, cadmium, copper, mercury and nickel) commonly found in contaminated soils. The principles, advantages and disadvantages of immobilization, soil washing and phytoremediation techniques which are frequently listed among the best demonstrated available technologies for cleaning up heavy metal contaminated sites are presented. Remediation of heavy metal contaminated soils is necessary to reduce the associated risks, make the land resource available for agricultural production, enhance food security and scale down land tenure problems arising from changes in the land use pattern.

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Metadata

Authors
Wuana, R. A., & Okieimen, F. E.
Venue
ISRN Ecology
Publisher
Hindawi Limited
Published
2011-10-24
Volume
2011
Pages
1-20
ISSN
  • 2090-4614 (ISSN-L)
  • 2090-4622
DOI
10.5402/2011/402647
OpenAlex
W2126164548
Cited by
3,822
References
3
FWCI
44.66
Type
journal article
Language
en
Open access
diamond
Licence
creativecommons.org/licenses/by/3.0/ (unspecified)

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CoChat. (2026). Citation check: Heavy Metals in Contaminated Soils: A Review of Sources, Chemistry, Risks and Best Available Strategies for Remediation. https://app.cochat.ai/papers/10.5402/2011/402647
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Wuana, R. A., & Okieimen, F. E. (2011). Heavy Metals in Contaminated Soils: A Review of Sources, Chemistry, Risks and Best Available Strategies for Remediation. ISRN Ecology. https://doi.org/10.5402/2011/402647

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.