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Distribution features and controls of heavy metals in surface sediments from the riverbed of the Ningxia-Inner Mongolian reaches, Yellow River, China

机译:宁夏-内蒙河段河床表层沉积物中重金属的分布特征及控制

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摘要

Fifty-six riverbed surface sediment (RSS) samples were collected along the Ningxia-Inner Mongolian reaches of the Yellow River (NIMYR). These samples were analyzed to determine their heavy metal concentrations (Co, Cr, Ni, Cu, V and Zn), grain sizes, sediment sources and the causes of their heavy metal contamination. The cumulative distribution functions of the heavy metals in RSS of these reaches are plotted to identify the geochemical baseline level (GBL) of each element and determine the average background concentration of each heavy metal. Principal component analysis and hierarchical cluster analysis are conducted based on the grain sizes of RSS, and the samples are classified into two groups: coarse grained samples (CGS) and fine grained samples (FGS). The degree of heavy metal contamination for each sample is identified by its enrichment factor (EF). The results reveal that the coarse particle component (medium sand and coarse sand) in the bed materials is chiefly from the bordering deserts along the Yellow River. The clay and silt in the bed materials chiefly originate from the upper reaches of the Yellow River, and the fine sand is identified as a hybrid sediment derived from the upper reaches of the Yellow River and the bordering deserts. The CGS primarily appear in the reaches bordering deserts, and the sites are near the confluence of gullies and the Yellow River. The FGS are located adjacent to cities with especially strong industrial activity such as Wuhai, Bayan Nur, Baotou and Togtoh. The Cr, Ni, Cu, V and Zn concentrations (mg kg(-1)) are 84.34 +/- 49.46, 30.21 +/- 7.90, 25.01 +/- 7.61, 73.17 +/- 18.92 and 55.62 +/- 18.93 in the FGS and 65.07 +/- 19.51, 23.86 +/- 6.84, 18.04 +/- 3.8, 53.47 +/- 10.57 and 34.89 +/- 9.19 in the CGS respectively, and the concentrations of Co in the CGS (213.40 +/- 69.71) are notably higher than in the FGS (112.02 +/- 48.87) and greater than the Co GBL (210). The most contaminated samples in the NIMYR are adjacent to the cities of Wuhai (EFCr = 5.19; EFNi = 1.96), Bayan Nur (EFCr = 5.88; EFNi = 2.08) and Baotou (EFCu = 1.55; EFZn = 1.68) where the Cr, Ni, Cu, V and Zn concentrations are above the correlated GBLs (85, 34, 27, 75 and 62 mg kg(-1), respectively), which are mostly affected by industrial processes, and samples that are only moderately contaminated by heavy metals are found in the reaches bordering desert (Wuhai-Baotou) because contaminated sediments are diluted by uncontaminated desert sand. In contrast, all of the Cu, Cr, Ni, V and Zn concentrations in RSS of the Qingtongxia-Wuhai reach are lower than the correlated GBLs of elements. (c) 2015 Elsevier Ltd. All rights reserved.
机译:沿黄河宁夏-内蒙古河段(NIMYR)收集了56个河床地表沉积物(RSS)样本。分析这些样品以确定它们的重金属浓度(Co,Cr,Ni,Cu,V和Zn),晶粒尺寸,沉积物来源以及其重金属污染的原因。绘制这些河段中RSS中重金属的累积分布函数,以确定每种元素的地球化学基线水平(GBL)并确定每种重金属的平均背景浓度。基于RSS的粒度进行主成分分析和层次聚类分析,并将样本分为两类:粗粒样本(CGS)和细粒样本(FGS)。每个样品的重金属污染程度通过其富集因子(EF)来确定。结果表明,床层材料中的粗颗粒成分(中砂和粗砂)主要来自黄河沿岸的沙漠。床层物质中的粘土和淤泥主要来自黄河上游,细砂被确定为源自黄河上游和毗邻沙漠的混合沉积物。 CGS主要出现在与沙漠接壤的河段,其地点靠近沟壑和黄河的汇合处。 FGS毗邻工业活动特别活跃的城市,例如乌海,巴彦N尔,包头和Togtoh。 Cr,Ni,Cu,V和Zn浓度(mg kg(-1))为84.34 +/- 49.46、30.21 +/- 7.90、25.01 +/- 7.61、73.17 +/- 18.92和55.62 +/- 18.93 CGS中的FGS和65.07 +/- 19.51、23.86 +/- 6.84、18.04 +/- 3.8、53.47 +/- 10.57和34.89 +/- 9.19,以及CGS中的Co浓度(213.40 +/- 69.71)明显高于FGS(112.02 +/- 48.87),也高于Co GBL(210)。 NIMYR中污染最严重的样本与乌海(EFCr = 5.19; EFNi = 1.96),Bayan Nur(EFCr = 5.88; EFNi = 2.08)和包头市(EFCu = 1.55; EFZn = 1.68)相邻。 Ni,Cu,V和Zn浓度高于相关的GBL(分别为85、34、27、75和62 mg kg(-1)),主要受工业过程影响,而样品仅受重度污染在受污染的沉积物被未受污染的沙漠沙土稀释后,在毗邻沙漠(乌海-包头)的河段中发现了金属。相比之下,青铜峡—乌海河段RSS中的所有Cu,Cr,Ni,V和Zn浓度均低于相关元素的GBL。 (c)2015 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Chemosphere》 |2016年第2期|29-42|共14页
  • 作者单位

    Lanzhou Univ, Coll Earth & Environm Sci, Gansu Key Lab Environm Pollut Predict & Control, Key Lab Western Chinas Environm Syst,Minist Educ, Lanzhou 730000, Peoples R China;

    Lanzhou Univ, Coll Earth & Environm Sci, Gansu Key Lab Environm Pollut Predict & Control, Key Lab Western Chinas Environm Syst,Minist Educ, Lanzhou 730000, Peoples R China;

    Lanzhou Univ, Coll Earth & Environm Sci, Gansu Key Lab Environm Pollut Predict & Control, Key Lab Western Chinas Environm Syst,Minist Educ, Lanzhou 730000, Peoples R China;

    Lanzhou Univ, Coll Earth & Environm Sci, Gansu Key Lab Environm Pollut Predict & Control, Key Lab Western Chinas Environm Syst,Minist Educ, Lanzhou 730000, Peoples R China;

    Lanzhou Univ, Coll Earth & Environm Sci, Gansu Key Lab Environm Pollut Predict & Control, Key Lab Western Chinas Environm Syst,Minist Educ, Lanzhou 730000, Peoples R China;

    Lanzhou Univ, Coll Earth & Environm Sci, Gansu Key Lab Environm Pollut Predict & Control, Key Lab Western Chinas Environm Syst,Minist Educ, Lanzhou 730000, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    The Yellow River; Surface sediment of the riverbed; Heavy metal; Geochemical baseline level;

    机译:黄河;河床表面沉积物;重金属;地球化学基线;

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