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Variations of trace elements and rare earth elements (REEs) treated by two different methods for snow-pit samples on the Qinghai-Tibetan Plateau and their implications

机译:两种不同方法处理青藏高原雪坑样品中微量元素和稀土元素的变化及其意义

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摘要

Although previous investigations of the trace elements in snow and ice from the Qinghai-Tibetan Plateau obtained interesting information about pollution from human activities on the plateau, most were based on traditional acidification methods. To emphasize the influence of the different sample-preparation methods on the records of trace elements and rare earth elements, snow samples were collected from glaciers on the Qinghai-Tibetan Plateau in China and prepared using two methods: traditional acidification and total digestion. Concentrations of 18 trace elements (Al, Ti, Fe, Rb, Sr, Ba, V, Cr, Mn, Li, Cu, Co, Mo, Cs, Sb, Pb, Tl, and U), along with 14 rare earth elements (REEs: La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, and Lu), Y, and Th in the snow samples, were measured using inductively coupled plasma-sector field mass spectrometry (ICP-SFMS). The results showed that the mass fraction of the trace elements (defined as ratio of concentration in the acid-leachable fraction to that in the digested sample) such as Mo, Ti, Al, Rb, and V, varied from 0.06 to 0.5. The mass fraction of other trace elements varied from about 0.6 to more than 0.9; those of the REEs, Y, and Th varied from 0.34 to 0.75. Lower mass fractions will lead to an overestimated contribution of other sources, especially human activities, and the underestimated fluxes of these trace elements (especially REEs, Y, and Th, as well as dust) if the REEs are used as the proxy for the crust dust. The two sample-preparation methods exhibited different REE normalized distribution patterns, REE ratios, and provenance-tracing results. The REE normalized distribution patterns and proxies in the digested samples are more reliable and integrated than those found in traditional acidification method for dust-provenance tracing.
机译:尽管先前对青藏高原雪和冰中微量元素的研究获得了有关高原人类活动污染的有趣信息,但大多数都是基于传统的酸化方法。为了强调不同样品制备方法对痕量元素和稀土元素记录的影响,从中国青藏高原的冰川中采集了雪样品,并采用传统的酸化和总消化两种方法制备。 18种痕量元素(Al,Ti,Fe,Rb,Sr,Ba,V,Cr,Mn,Li,Cu,Co,Mo,Cs,Sb,Pb,Tl和U)的浓度以及14种稀土元素(REE:La,Ce,Pr,Nd,Sm,Eu,Gd,Tb,Dy,Ho,Er,Tm,Yb和Lu),雪和样品中的Y和Th使用感应耦合等离子体扇区进行测量现场质谱(ICP-SFMS)。结果表明,诸如Mo,Ti,Al,Rb和V等微量元素的质量分数(定义为酸可溶组分与消化样品中的浓度之比)在0.06到0.5之间变化。其他微量元素的质量分数从约0.6到大于0.9不等; REE,Y和Th的值在0.34至0.75之间变化。如果将稀土元素用作地壳的替代物,则较低的质量分数将导致其他来源(尤其是人类活动)的贡献被高估,并且这些微量元素(尤其是稀土元素,Y和Th和尘埃)的通量被低估了灰尘。两种样品制备方法均表现出不同的REE归一化分布模式,REE比率和出处追踪结果。相比于传统的酸化方法(用于粉尘来源追踪),所消化样品中的REE归一化分布模式和代理更可靠,更完整。

著录项

  • 来源
    《寒旱区科学:英文版》 |2017年第006期|P.656-667|共12页
  • 作者单位

    [1]State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;

    [1]State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;

    [1]State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;

    [2]University of Chinese Academy of Sciences, Beijing 100049, China;

    [3]Institute for the Dynamics of Environmental Processes, National Research Council (IDPA-CNR), University of Venice, Dorsoduro 2137, 30123 Venice, Italy;

    [3]Institute for the Dynamics of Environmental Processes, National Research Council (IDPA-CNR), University of Venice, Dorsoduro 2137, 30123 Venice, Italy;

    [3]Institute for the Dynamics of Environmental Processes, National Research Council (IDPA-CNR), University of Venice, Dorsoduro 2137, 30123 Venice, Italy;

    [1]State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 CHI
  • 中图分类 初等教育;
  • 关键词

    sample-preparation; methods; trace; elements; REEs; mass; fraction; snow; samples; Qinghai-Tibetan; Plateau;

    机译:样品制备;方法;痕量;元素;REEs;质量分数;雪样品;青藏高原;
  • 入库时间 2022-08-19 03:38:05
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