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Uncertainty of measurement or of mean value for the reliable classification of contaminated land

journal contribution
posted on 2023-06-08, 05:14 authored by Katy A Boon, Michael H Ramsey
Classification of contaminated land is important for risk assessment and so it is vital to understand and quantify all of the uncertainties that are involved in the assessment of contaminated land. This paper uses a case study to compare two methods for assessing the uncertainty in site investigations (uncertainty of individual measurements, including that from sampling, and uncertainty of the mean value of all measurements within an area) and how the different methods affect the decisions made about a site. Using the `uncertainty of the mean value there is shown to be no significant possibility of 'significant harm' under UK guidance at one particular test site, but if you consider the 'uncertainty of the measurements' a significant proportion (50%) of the site is shown to be possibly contaminated. This raises doubts as to whether the current method using `uncertainty of the mean is sufficiently robust, and suggests that `uncertainty of measurement information may be preferable, or at least beneficial when used in conjunction.

History

Publication status

  • Published

Journal

Science of the Total Environment

ISSN

0048-9697

Publisher

Elsevier

Issue

2

Volume

409

Page range

423-429

Pages

7.0

Department affiliated with

  • Evolution, Behaviour and Environment Publications

Notes

Paper was written by Boon, based upon findings a research project, funded by DTI and CL:AIRE, of which Ramsey was the principal investigator

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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