Geochemical speciation and pollution assessment of heavy metals in surface sediments from Nansi Lake, China
文献类型：SCI/SSCI论文
| 作者 | Yang L. Y.; Wang, L. F.; Wang, Y. Q.; Zhang, W. |
| 发表日期 | 2015 |
| 关键词 | Nansi Lake Heavy metals Speciation Pollution level Spatial distribution fraction distribution marine-sediments soils zinc contamination mobility vicinity impacts sludge copper |
| 英文摘要 | Sixteen surface sediment samples were collected from Nansi Lake to analyze geochemical speciation of heavy metals including Cd, As, Pb, Cr, and Zn, assess their pollution level, and determine the spatial distribution of the non-residual fraction. Results showed that Cd had higher concentrations in water-soluble and exchangeable fractions. As and Pb were mainly observed as humic acid and reducible fractions among the non-residual fractions, while Cr and Zn were mostly locked up in a residual fraction. The mean pollution index (P-i) values revealed that the lower lake generally had a higher enrichment degree than the upper lake. Cd (2.73) and As (2.05) were inmoderate level of pollution, while the pollution of Pb (1.80), Cr (1.27), and Zn (1.02) appeared at low-level pollution. The calculated pollution load index (PLI) suggested the upper lake suffered from borderline moderate pollution, while the lower lake showed moderate to heavy pollution. Spatial principle component analysis showed that the first principal component (PC1) including Cd, As, and Pb could explain 56.18 % of the non-residual fraction. High values of PC1 were observed mostly in the southern part of Weishan Lake, which indicated greater bioavailability and toxicity of Cd, As, and Pb in this area. |
| 出处 | Environmental Monitoring and Assessment |
| 卷 | 187 |
| 期 | 5 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0167-6369 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/38980]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Yang L. Y.,Wang, L. F.,Wang, Y. Q.,et al. Geochemical speciation and pollution assessment of heavy metals in surface sediments from Nansi Lake, China. 2015. |
入库方式： OAI收割
来源：地理科学与资源研究所
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