Assessment of heavy metals contamination in sediments from three adjacent regions of the Yellow River using metal chemical fractions and multivariate analysis techniques

被引:321
|
作者
Ma, Xiaoling [1 ]
Zuo, Hang [1 ,3 ]
Tian, Mengjing [1 ]
Zhang, Liyang [1 ]
Meng, Jia [1 ]
Zhou, Xuening [1 ]
Min, Na [1 ]
Chang, Xinyuan [1 ]
Liu, Ying [1 ,2 ]
机构
[1] Minzu Univ China, Coll Life & Environm Sci, Beijing 100081, Peoples R China
[2] Minzu Univ China, Beijing Engn Res Ctr Food Environm & Publ Hlth, Beijing 100081, Peoples R China
[3] China Natl Environm Monitoring Ctr, Beijing 100012, Peoples R China
基金
中国国家自然科学基金;
关键词
Multivariate analysis techniques; Assessment; Heavy metal; Sediment; The Yellow River; SEQUENTIAL EXTRACTION PROCEDURE; PRINCIPAL COMPONENT ANALYSIS; SURFACE SEDIMENTS; TRACE-METALS; RISK-ASSESSMENT; INNER-MONGOLIA; YANGTZE-RIVER; SPECIATION; ELEMENTS; CHINA;
D O I
10.1016/j.chemosphere.2015.08.026
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Metal chemical fractions obtained by optimized BCR three-stage extraction procedure and multivariate analysis techniques were exploited for assessing 7 heavy metals (Cr, Pb, Cd, Co, Cu, Zn and Ni) in sediments from Gansu province, Ningxia and Inner Mongolia Autonomous Regions of the Yellow River in Northern China. The results indicated that higher susceptibility and bioavailability of Cr and Cd with a strong anthropogenic source were due to their higher availability in the exchangeable fraction. A portion of Pb, Cd, Co, Zn, and Ni in reducible fraction may be due to the fact that they can form stable complexes with Fe and Mn oxides. Substantial amount of Pb, Co, Ni and Cu was observed as oxidizable fraction because of their strong affinity to the organic matters so that they can complex with humic substances in sediments. The high geo-accumulation indexes (igeo) for Cr and Cd showed their higher environmental risk to the aquatic biota. Principal component analysis (PCA) revealed that high toxic Cr and Cd in polluted sites (Cd in S10, S11 and Cr in S13) may be contributed to anthropogenic sources, it was consistent with the results of dual hierarchical clustering analysis (DHCA), which could give more details about contributing sources. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:264 / 272
页数:9
相关论文
共 50 条
  • [31] Assessment of heavy metal pollution in sediments from Xiangjiang River (China) using sequential extraction and lead isotope analysis
    Jiang Bo-feng
    Sun Wei-ling
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2014, 21 (06) : 2349 - 2358
  • [32] Heavy metal contamination in surface sediments of Yangtze River intertidal zone: An assessment from different indexes
    Zhang, Weiguo
    Feng, Huan
    Chang, Jinna
    Qu, Jianguo
    Xie, Hongxia
    Yu, Lizhong
    ENVIRONMENTAL POLLUTION, 2009, 157 (05) : 1533 - 1543
  • [33] Multivariate analysis of heavy metals in surface sediments from lower reaches of the Xiangjiang River, southern China
    Mao, Longjiang
    Mo, Duowen
    Guo, Yuanyuan
    Fu, Qiang
    Yang, Jinghong
    Jia, Yaofeng
    ENVIRONMENTAL EARTH SCIENCES, 2013, 69 (03) : 765 - 771
  • [34] Concentrations, spatial distribution, and pollution assessment of heavy metals in surficial sediments from upstream of Yellow River, China
    Ren, Jun
    Hao, Jianxiu
    Tao, Ling
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (03) : 2904 - 2913
  • [35] Spatial Distribution and Ecotoxicological Assessment of Heavy Metals in Bottom Sediments of Yellow River from Inner Mongolia, China
    Ren, H. R.
    Tao, L.
    Guo, Y. C.
    Ren, J.
    GEOCHEMISTRY INTERNATIONAL, 2021, 59 (13) : 1354 - 1362
  • [36] Assessment of Heavy Metal Contamination, Distribution, and Source Identification in Surface Sediments from the Mid-Upper Reaches of the Yellow River
    Wang, Junzhang
    Tao, Ling
    Ren, Hanru
    Xue, Xiangyu
    Yang, Zhijie
    Jiang, Yucheng
    Ren, Jun
    TOXICS, 2025, 13 (03)
  • [37] Assessment of heavy metals in the surface sediments of the Emerald Lake using of spatial distribution and multivariate techniques
    P. Karthikeyan
    G. Vennila
    R. Venkatachalapathy
    T. Subramani
    R. Prakash
    M. K. Aswini
    Environmental Monitoring and Assessment, 2018, 190
  • [38] Vertical distribution, contamination status and ecological risk assessment of heavy metals in core sediments from a mangrove-dominated tropical river
    Hasan, Md. Rakibul
    Anisuzzaman, Md
    Choudhury, Tasrina Rabia
    Arai, Takaomi
    Yu, Jimmy
    Albeshr, Mohammed Fahad
    Hossain, M. Belal
    MARINE POLLUTION BULLETIN, 2023, 189
  • [39] High resolution record of heavy metals from estuary sediments of Nankan River (Taiwan) assessed by rigorous multivariate statistical analysis
    Lee, An-Sheng
    Huang, Jyh-Jaan Steven
    Burr, George
    Kao, Li Cheng
    Wei, Kuo-Yen
    Liou, Sofia Ya Hsuan
    QUATERNARY INTERNATIONAL, 2019, 527 : 44 - 51
  • [40] Assessment of heavy metals contamination in Mamut river sediments using sediment quality guidelines and geochemical indices
    Bibi Noorarlijannah Mohammad Ali
    Chin Yik Lin
    Fera Cleophas
    Mohd Harun Abdullah
    Baba Musta
    Environmental Monitoring and Assessment, 2015, 187