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HR-ICP-MS研究黄河三个连续区域段表层沉积物中重金属污染的空间分布和季节变化

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HR-ICP-MS研究黄河三个连续区域段表层沉积物中重金属污染的空间分布和季节变化 第36卷,第8期 2016年8月
光谱学与光谱分析 Spectroscopy and Spectral Analysis
Vol.36,No.8+pp2705-2711
August,2016
StudyonSpatialDistributionandSeasonalVariationsof TraceMetalContaminationinSedimentsfromtheThree AdjacentAreasoftheYellowRiverUsingHR-ICP-MS
MAXiao-ling',DENGFeng-yu',LIUYingl.2
1. College of Life and Environmental Sciences, Minzu University of China, Beijing10o081, China
2. Beijing Engineering Research Center of Food Environment and Public Health, Minzu University of China, Beijing 100081, China
Abstract Spatial distribution, seasonal variations and pollution conditions of 6 heavy metals (Cr, Pb, Cd, Cu, Zn and Ni) in sediments in three different seasons (wet, dry and normal) from Gansu province Ningxia and Inner Mongolia Autonomous Regions of the Yellow River were studied using high resolution inductively coupled plasma-mass spectrometry (HR-ICP-MS), geo-accumulation index (Ig), respectively. The results indicated that content of heavy metals in all three seasons of Inner Mongolia sediment samples were higher compared to Ningxia and Gansu sections, and except Cd, the other metals concentrations in wet season are rel-atively higher, and they are lower and approximated in dry and normal seasons, Igro showed that high Ig val-ues of Cd, Cu and Cr were found in Inner Mongolia region in wet and dry seasons, and the low Igo values of the three metals were obtained in Gansu region. For season, the Ig values of all study metals were higher in wet season than dry season, and they were decreased in normal season except Cd, while Igo, were high in all sampling sites in normal season indicating the strong anthropogenic sources there. I, values of metals inclu ding Pb, Zn and Ni were below o in wet season of Gansu, in dry season of Gansu, Ningxia regions and in nor mal season of all study regions, respectively, indicating a safer level. The results of spatial distribution and Ig of study heavy metals suggested that higher total metal concentrations and potential risks were found in Inner Mongolia reaches of the Yellow River, and Cr, Cd and Cu were being more significant with the strong anthro pogenic sources among all study metals. Considering the three different seasons, except normal season, the higher metal concentrations and potential risks for metals in sediments were observed in wet season than dry season, since the higher pH values of the sedimentary samples in wet season can help to promote adsorption and precipitation of heavy metal in sediments, meanwhile, the higher total organic carbon (TOC) values in sediments in wet season were also beneficial to the adsorption of heavy metals since the affinity between TOC and metal cations. Besides, the coast sediments with variety pollutants were brought into the river by rainfall in summer, which may also contribute to the rapid enrichment of heavy metals in sediments in wet season than dry season. The correlation among heavy metals and other variables and potential sources for heavy metals were evaluated by correlation coefficient analysis (CCA). The results of CCA revealed that Pb, Cu, Zn and Ni showed a significant correlation with each other, and they would be easily influenced by pH and TOC. Fur
Received: 2015-06-18 ; accepted: 2015-11-12
Foundation item: The National Natural Science Foundation of China (21177163) , 111 Project B08044, First-class University First-class Aca
demic Program of Minzu University of China ( YLDXo1013) , Coordinate Development of First-Class and First-Class Univer-sity Discipline Construction Funds(10301-0150200604), The Academic Team Construction Project of Minzu University of China (2015MDTD25C&.13C) , First-class Universities and First-class Discipline Construction Transitional Funds Under Spe-cial Funding (10301-01404031, 2015) , Graduate Student Scientific Research Innovation Project of Minzu University of China(K2014042), GCCX2015
Biography : MA Xiao-ling, (1990—), Master of College Life and Environmental Sciences, Minzu University of China
e-mail:mxl3884@126.com
> Corresponding author
e-mail:liuying4300@163.com
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