The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Levels, sources, and spatial distribution of heavy metals in soils from a typical coal industrial city of Tangshan, China
Abstract
Abstract The concentrations, bioavailability, distribution, and sources of heavy metals in soils of a typical region from coal industrial city of Tangshan, North China, were investigated. A total of 240 surface (0–20 cm) and sub-surface (20-40 cm) soil samples were collected and analyzed for the heavy metals of mercury (Hg), lead (Pb), cadmium (Cd), zinc (Zn), copper (Cu), chromium (Cr), arsenic (As), and nickel (Ni). The concentrations of these metals were lower than the national guideline values. However, accumulation of Zn, Pb, Cd, Hg, and Cu in the surface soils, and Zn, Cu, Cd, and Hg in the sub-surface soils was observed compared with their background values. The pollution indices of geo-accumulation (Igeo) and contamination factor (CF) showed that most soil samples were slightly to moderately polluted by Hg and Cd. Cd and Hg had the higher percentages (1.16–46.8%) in the water-soluble and exchangeable fractions and were considered potentially bioavailable and risky to the ecosystem. A combination of spatial analysis, principal component analysis (PCA), and positive matrix factorization (PMF) model was used to assess the sources of heavy metals. Anthropogenic sources contributed to 80.2% of the heavy metal concentrations in soils, indicating the great influence on soil heavy metal accumulation. Coal-related industrial activities, sewage irrigation and the application of agrochemicals, and vehicle emission were the possible anthropogenic sources of heavy metals.
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Cites
Total Carbon, Organic Carbon, and Organic Matter
Nelson, D. W., & Sommers, L. E. (1996) · SSSA Book Series · doi:10.2136/sssabookser5.3.c34 · Cited by 10,491
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
Remediation of heavy metal(loid)s contaminated soils – To mobilize or to immobilize?
Bolan, N., Kunhikrishnan, A., Thangarajan, R., Kumpiene, J., Park, J., Makino, T., Kirkham, M. B., & Scheckel, K. (2014) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2013.12.018 · Cited by 2,031
Remediation techniques for heavy metal-contaminated soils: principles and applicability
Liu, L., Li, W., Song, W., & Guo, M. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.03.161 · Cited by 1,828
Yang, Q., Li, Z., Lu, X., Duan, Q., Huang, L., & Bi, J. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.06.068 · Cited by 1,770
Zeng, F., Ali, S., Zhang, H., Ouyang, Y., Qiu, B., Wu, F., & Zhang, G. (2011) · Environmental Pollution · doi:10.1016/j.envpol.2010.09.019 · Cited by 1,292
Guan, Q., Wang, F., Xu, C., Pan, N., Lin, J., Zhao, R., Yang, Y., & Luo, H. (2018) · Chemosphere · doi:10.1016/j.chemosphere.2017.10.151 · Cited by 587
Hu, Y., Liu, X., Bai, J., Shih, K., Zeng, E. Y., & Cheng, H. (2013) · Environmental Science and Pollution Research · doi:10.1007/s11356-013-1668-z · Cited by 577
Liang, J., Feng, C., Zeng, G., Gao, X., Zhong, M., Li, X., Li, X., He, X., & Fang, Y. (2017) · Environmental Pollution · doi:10.1016/j.envpol.2017.03.057 · Cited by 565
Potentially toxic metal contamination of urban soils and roadside dust in Shanghai, China
Shi, G., Chen, Z., Xu, S., Zhang, J., Wang, L., Bi, C., & Teng, J. (2008) · Environmental Pollution · doi:10.1016/j.envpol.2008.02.027 · Cited by 528
Cited by
Hu, B., Shao, S., Ni, H., Fu, Z., Hu, L., Zhou, Y., Min, X., She, S., Chen, S., Huang, M., et al. (2020) · Environmental Pollution · doi:10.1016/j.envpol.2020.114961 · Cited by 506
Bioremediation of environmental wastes: the role of microorganisms
Ayilara, M. S., & Babalola, O. O. (2023) · Frontiers in Agronomy · doi:10.3389/fagro.2023.1183691 · Cited by 437
Jiang, H.-H., Cai, L.-M., Wen, H.-H., Hu, G.-C., Chen, L.-G., & Luo, J. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.134466 · Cited by 403
Metadata
- Authors
- Sun, L., Guo, D., Liu, K., Meng, H., Zheng, Y., Yuan, F., & Zhu, G.
- Venue
- CATENA
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 175
- Pages
- 101-109
- ISSN
- 0341-8162 (ISSN-L)
- OpenAlex
- W2904894397
- Cited by
- 309
- References
- 30
- FWCI
- 6.65
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sun, L., Guo, D., Liu, K., Meng, H., Zheng, Y., Yuan, F., & Zhu, G. (2019). Levels, sources, and spatial distribution of heavy metals in soils from a typical coal industrial city of Tangshan, China. CATENA. https://doi.org/10.1016/j.catena.2018.12.014
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