The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.
Factors influencing heavy metal availability and risk assessment of soils at typical metal mines in Eastern China
Abstract
China exemplifies the serious and widespread soil heavy metal pollution generated by mining activities. A total of 420 soil samples from 58 metal mines was collected across Eastern China. Total and available heavy metal concentrations, soil physico-chemical properties and geological indices were determined and collected. Risk assessments were applied, and a successive multivariate statistical analysis was carried out to provide insights into the heavy metal contamination characteristics and environmental drivers of heavy metal availability. The results suggested that although the degrees of pollution varied between different mine types, in general they had similar contamination characteristics in different regions. The major pollutants for total concentrations were found to be Cd and As in south and northeast China. The availability of Zn and Cd is relatively higher in south China. Soil physico-chemical properties had major effect on metal availability where soil pH was the most important factor. On a continental scale, soil pH and EC were influenced by the local climate patterns which could further impact on heavy metal availability. Enlightened by this study, future remediation strategies should be focused on steadily increasing soil pH, and building adaptable and sustainable ecological system to maintain low metal availabilities in mine site soils.
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vegan: Community Ecology Package
Oksanen, J., Simpson, G. L., Blanchet, F. G., Kindt, R., Legendre, P., Minchin, P. R., O'Hara, R. B., Solymos, P., Stevens, M. H. H., Szoecs, E., et al. (2001) · CRAN: Contributed Packages · doi:10.32614/cran.package.vegan · Cited by 22,615
Circos: An information aesthetic for comparative genomics
Krzywinski, M., Schein, J., Birol, İ., Connors, J., Gascoyne, R., Horsman, D., Jones, S. J., & Marra, M. A. (2009) · Genome Research · doi:10.1101/gr.092759.109 · Cited by 10,964
An ecological risk index for aquatic pollution control.a sedimentological approach
Hakanson, L. (1980) · Water Research · doi:10.1016/0043-1354(80)90143-8 · Cited by 9,654
Vegan : community ecology package. R package version 1.17-9
Oksanen, J. (2007) · Medical Entomology and Zoology · Cited by 6,549
INDEX OF GEOACCUMULATION IN SEDIMENTS OF THE RHINE RIVER
Müller, G. (1969) · GeoJournal · Cited by 4,050
Phytoremediation of heavy metals—concepts and applications
Ali, H., Khan, E., & Sajad, M. A. (2013) · Chemosphere · doi:10.1016/j.chemosphere.2013.01.075 · Cited by 3,961
A review of soil heavy metal pollution from mines in China: Pollution and health risk assessment
Li, Z., Ma, Z., van der Kuijp, T. J., Yuan, Z., & Huang, L. (2014) · Science of The Total Environment · doi:10.1016/j.scitotenv.2013.08.090 · Cited by 2,852
Soil Contamination in China: Current Status and Mitigation Strategies
Zhao, F.-J., Ma, Y., Zhu, Y.-G., Tang, Z., & McGrath, S. P. (2015) · Environmental Science & Technology · doi:10.1021/es5047099 · Cited by 2,174
(2012) · SpringerReference · doi:10.1007/springerreference_76825 · Cited by 2,069
Trace Elements in Terrestrial Environments: Biogeochemistry, Bioavailability, and Risks of Metals
Adriano, D. C. (2001) · Cited by 1,966
Metadata
- Authors
- Zhong, X., Chen, Z., Li, Y., Ding, K., Liu, W., Liu, Y., Yuan, Y., Zhang, M., Baker, A. J. M., Yang, W., Fei, Y., Wang, Y., Chao, Y., & Qiu, R.
- Venue
- Journal of Hazardous Materials
- Publisher
- Elsevier BV
- Published
- 2020-12
- Volume
- 400
- Pages
- 123289
- ISSN
- 0304-3894 (ISSN-L)
- OpenAlex
- W3036685965
- Cited by
- 365
- References
- 89
- FWCI
- 9.58
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhong, X., Chen, Z., Li, Y., Ding, K., Liu, W., Liu, Y., Yuan, Y., Zhang, M., Baker, A. J. M., Yang, W., Fei, Y., Wang, Y., Chao, Y., & Qiu, R. (2020). Factors influencing heavy metal availability and risk assessment of soils at typical metal mines in Eastern China. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2020.123289
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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