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Inverse-variance weighted regression with uncertainty in both variables for the quantitative description of traffic-emitted lead transfer into plants

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Abstract

A comprehensive screening study of traffic-emitted lead pollution of soil and plants was carried out. In a first step of data evaluation the influence of the factors traffic density and distance from the road was excluded to describe the bivariate relationship between plant lead and soil lead contents. Then the application of inverse-variance weighted regression which takes into account the considerable uncertainty of the data obtained enabled the quantitative determination of the soil-plant lead transfer.

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Authors and Affiliations

  1. Friedrich Schiller University of Jena, Institute of Inorganic and Analytical Chemistry, Lessingstrasse 8, D-07743 Jena, Germany, , , , , , DE

    J. W. Einax

  2. Federal Institute for Materials Research and Testing, Department “Analytical Chemistry; Reference Materials”, D-12200 Berlin, Germany, , , , , , DE

    W. Bremser

  3. Friedrich Schiller University of Jena, Institute of Nutrition and Environment, Dornburger Str. 25–29, D-07743 Jena, Germany, , , , , , DE

    B. Machelett

Authors
  1. J. W. Einax
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  2. W. Bremser
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  3. B. Machelett
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Received: 21 October 1998 / Revised: 24 February 1999 / Accepted: 9 May 1999

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Einax, J., Bremser, W. & Machelett, B. Inverse-variance weighted regression with uncertainty in both variables for the quantitative description of traffic-emitted lead transfer into plants. Fresenius J Anal Chem 364, 673–677 (1999). https://doi.org/10.1007/s002160051411

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  • DOI: https://doi.org/10.1007/s002160051411

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