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Cited by 547

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

An overview of field-scale studies on remediation of soil contaminated with heavy metals and metalloids: Technical progress over the last decade

Gong, Yanyan, Zhao, Dongye, Wang, Qilin·2018·Water Research

Abstract

Soil contamination by heavy metals and metalloids has been a major concern to human health and environmental quality. While many remediation technologies have been tested at the bench scale, there have been only limited reports at the field scale. This paper aimed to provide a comprehensive overview on the field applications of various soil remediation technologies performed over the last decade or so. Under the general categories of physical, chemical, and biological approaches, ten remediation techniques were critically reviewed. The technical feasibility and economic effectiveness were evaluated, and the pros and cons were appraised. In addition, attention was placed to the environmental impacts of the remediation practices and long-term stability of the contaminants, which should be taken into account in the establishment of remediation goals and environmental criteria. Moreover, key knowledge gaps and practical challenges are identified.

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Metadata

Authors
Gong, Y., Zhao, D., & Wang, Q.
Venue
Water Research
Publisher
Elsevier BV
Published
2018-12
Volume
147
Pages
440-460
ISSN
0043-1354 (ISSN-L)
OpenAlex
W2897400746
Cited by
547
References
8
FWCI
12.70
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An overview of field-scale studies on remediation of soil contaminated with heavy metals and metalloids: Technical progress over the last decade. https://app.cochat.ai/papers/10.1016/j.watres.2018.10.024
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Gong, Y., Zhao, D., & Wang, Q. (2018). An overview of field-scale studies on remediation of soil contaminated with heavy metals and metalloids: Technical progress over the last decade. Water Research. https://doi.org/10.1016/j.watres.2018.10.024

Data sources

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.