Literature DB >> 27443950

Expressing lead isotopic compositions by fractional abundances for environmental source apportionment.

Yuyou Zhi1, Tiantian Guo1, Jiachun Shi2, Lingzao Zeng1, Laosheng Wu3.   

Abstract

Lead (Pb) isotope has been extensively used to identify sources of Pb and apportion their contributions in the environment. Conventionally, isotope ratios are used to express Pb isotopic composition. However, the linear combination of Pb isotope ratios is not consistent with mass balance. Moreover, the graphical presentations based on Pb isotope ratios are always inconsistent when different Pb isotope ratios are used. In this study, we proposed to use fractional abundance to express Pb isotopic composition to achieve more accurate and reliable source apportionment. A new method (rotation-projection method) based on fractional abundance was developed in this research. The new method compared favorably to the isotopic ratio-based method and to another fractional abundance based method using default 204Pb value (0) (Walraven's method). It allows to present four-dimensional (4-D) Pb isotope fractional abundance data in a 3-D plot. In the meantime, due to the low variation of the fractional abundance of 204Pb in the terrestrial ecosystem, the terrestrial Pb isotope fractional abundance data fell nearly on a plane, which further allows to plot the Pb isotope fractional abundance data on a two-dimensional diagram. Proper presentation of the isotopic composition data helps to achieve more accurate and reliable source identification and apportionment.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Isotope fractional abundances; Isotope ratios; Isotopic compositions; Lead (Pb); Source apportionment

Mesh:

Substances:

Year:  2016        PMID: 27443950     DOI: 10.1016/j.envpol.2016.07.024

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  1 in total

1.  Elemental and isotopic determination of lead (Pb) in particulate matter in the Brazilian city of Goiânia (GO) using ICP-MS technique.

Authors:  Hendryk Gemeiner; Thiago de Araujo Dourado; Everton Tiago Sulato; Juliana Aparecida Galhardi; Ana Carla Fernandes Gomes; Eduardo de Almeida; Amauri Antonio Menegário; Didier Gastmans; Chang Hung Kiang
Journal:  Environ Sci Pollut Res Int       Date:  2017-07-15       Impact factor: 4.223

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.