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
  • [1] Distribution, risk assessment, and statistical source identification of heavy metals in aqueous system from three adjacent regions of the Yellow River
    Ma, Xiaoling
    Zuo, Hang
    Liu, Jingjun
    Liu, Ying
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2016, 23 (09) : 8963 - 8975
  • [2] Assessment of Heavy Metal Contamination in the Sediments of the Shuangtaizi Estuary Using Multivariate Statistical Techniques
    Li, Chen
    Sun, Menghan
    Song, Chengwen
    Tao, Ping
    Yin, Yanyan
    Shao, Mihua
    SOIL & SEDIMENT CONTAMINATION, 2017, 26 (01): : 45 - 58
  • [3] Assessment of heavy metal contamination in the sediments from the Yellow River Wetland National Nature Reserve (the Sanmenxia section), China
    Cheng, Qingli
    Wang, Ruiling
    Huang, Wenhai
    Wang, Wenlin
    Li, Xudong
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2015, 22 (11) : 8586 - 8593
  • [4] Multivariate Analysis and Heavy Metals Pollution Evaluation in Yellow River Surface Sediments
    Ren, Jun
    Shang, Zhen
    Tao, Ling
    Wang, Xia
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2015, 24 (03): : 1041 - 1048
  • [5] Fractional distribution and risk assessment of heavy metals in sediments collected from the Yellow River, China
    Liu, Houqi
    Liu, Guijian
    Wang, Jie
    Yuan, Zijiao
    Da, Chunnian
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2016, 23 (11) : 11076 - 11084
  • [6] Assessment of heavy metal contamination in the sediments from the Yellow River Wetland National Nature Reserve (the Sanmenxia section), China
    Qingli Cheng
    Ruiling Wang
    Wenhai Huang
    Wenlin Wang
    Xudong Li
    Environmental Science and Pollution Research, 2015, 22 : 8586 - 8593
  • [7] Distribution, risk assessment, and statistical source identification of heavy metals in aqueous system from three adjacent regions of the Yellow River
    Xiaoling Ma
    Hang Zuo
    Jingjun Liu
    Ying Liu
    Environmental Science and Pollution Research, 2016, 23 : 8963 - 8975
  • [8] Investigation of the Heavy Metal Contamination of the Sediments from the Yellow River Wetland Nature Reserve of Zhengzhou, China
    Cheng, Q.
    Wang, W.
    Wang, H.
    Ang, W.
    Zhao, Z.
    IRANIAN JOURNAL OF PUBLIC HEALTH, 2012, 41 (03) : 26 - 35
  • [9] Heavy Metal Contamination in Sediments from Wetlands Invaded by Spartina alterniflora in the Yellow River Delta
    Zhang, Zaiwang
    Zhang, Tongrui
    Yu, Wenhao
    Xu, Jikun
    Li, Jialiang
    Wu, Tao
    Liu, Suzhe
    Wang, Haiyang
    Wang, Yuxia
    Shang, Shuai
    Lin, Aiguo
    TOXICS, 2022, 10 (07)
  • [10] Fractional distribution and risk assessment of heavy metals in sediments collected from the Yellow River, China
    Houqi Liu
    Guijian Liu
    Jie Wang
    Zijiao Yuan
    Chunnian Da
    Environmental Science and Pollution Research, 2016, 23 : 11076 - 11084