Fractional distribution and risk assessment of heavy metals in sediments collected from the Yellow River, China

doi:10.1007/s11356-016-6291-3

IEECAS OpenIR > 黄土与第四纪地质国家重点实验室（2010~）

	Fractional distribution and risk assessment of heavy metals in sediments collected from the Yellow River, China
	Liu, Houqi 1,2,3; Liu, Guijian 1,2,3; Wang, Jie 1; Yuan, Zijiao 1; Da, Chunnian 1
	2016-06-01
发表期刊	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷号	23 期号:11 页码:11076-11084
文章类型	Article
摘要	Bohai Sea is one of the most intensively exploited region in the world and its environment has been severely impacted by the extensive human activities. The Yellow River is the most important river which connects with the Bohai Sea. Therefore, this study focused on analyzing heavy metals (HMs) in 21 surface sediment samples collected from the Yellow River, China. Sequential extraction procedure (SEP), proposed by the Community Bureau of Reference (BCR), was applied in the present study to determine the concentration and fractionation characteristics of these HMs. The aim of this study was to investigate the spatial distribution, fractionation, risk assessment, and sources of HMs, including copper (Cu), zinc (Zn), lead (Pb), chromium (Cr), iron (Fe), manganese (Mn), and nickel (Ni). The results obtained from this research will play a significant role in understanding the migration, transformation, and accumulation of HMs for future research in study area. Results of fractionation revealed that most of the HMs in the study area mainly existed in residual fraction; however, Mn mostly existed in exchangeable fraction. A high percentage of reducible fractions was found for Cu and Pb. The mean contamination factor (C-f) values indicated that Pb was the highest. It was > 1 and showed moderate contamination, followed by Cr, Cu, Mn, Ni, and Zn, had < 1 and indicated low contamination. Among studied HMs Pb had higher enrichment factor (EF) as compared to others. Significant positive correlations within all studied HMs and principal component analysis (PCA) results indicated their common sources, however, Pb showed the different contamination sources. The total contents of HMs in sediment were compared with the threshold effect level (TEL) and probable effect level (PEL) sediment quality guideline (TEL/PEL-based SQGs) values for trace metals in sediment, as well as literature reported data for comparative purposes, which indicated that the selected river in present study is not severe.
关键词	Yellow River Heavy Metals Sequential Extraction Procedure Risk Assessment Sediment
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
DOI	10.1007/s11356-016-6291-3
关键词[WOS]	SEQUENTIAL EXTRACTION PROCEDURE ; POLYCYCLIC AROMATIC-HYDROCARBONS ; TRACE-METALS ; BOHAI SEA ; SURFICIAL SEDIMENTS ; SEWAGE-SLUDGE ; SOUTH CHINA ; NORTH CHINA ; SPECIATION ; ESTUARY
收录类别	SCI
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:000377021500071
引用统计	被引频次：18[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ieecas.cn/handle/361006/5737
专题	黄土与第四纪地质国家重点实验室（2010~）
作者单位	1.Univ Sci & Technol China, Sch Earth & Space Sci, CAS Key Lab Crust Mantle Mat & Environm, Hefei 230026, Peoples R China 2.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710075, Shaanxi, Peoples R China 3.USTC City U, Joint Adv Res Ctr, Adv Lab Environm Res & Technol, Suzhou 215123, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Liu, Houqi,Liu, Guijian,Wang, Jie,et al. Fractional distribution and risk assessment of heavy metals in sediments collected from the Yellow River, China[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2016,23(11):11076-11084.
APA	Liu, Houqi,Liu, Guijian,Wang, Jie,Yuan, Zijiao,&Da, Chunnian.(2016).Fractional distribution and risk assessment of heavy metals in sediments collected from the Yellow River, China.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,23(11),11076-11084.
MLA	Liu, Houqi,et al."Fractional distribution and risk assessment of heavy metals in sediments collected from the Yellow River, China".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 23.11(2016):11076-11084.

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