Balancing measurement uncertainty against financial benefits: a comparison of in situ and ex situ analysis of contaminated land

Taylor, Paul D, Ramsey, Michael H and Potts, Philip J (2004) Balancing measurement uncertainty against financial benefits: a comparison of in situ and ex situ analysis of contaminated land. Environmental Science and Technology, 38 (24). pp. 6824-6831. ISSN 0013-936X

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The uncertainty of measurements taken for the purpose of characterizing contaminated land can subsequently cause decision errors, which can produce significant, financial consequences. Given the site-specific costs, such as those associated with the measurements or with site misclassification, the important question addressed is 'Are the measurements of acceptable quality for that given objective or fit-for-purposeb'? It is often considered by investigators that using a standard operating procedure (SOP) with an approved analytical method will give an acceptable level of uncertainty. This is despite evidence that sampling is usually the predominant source of uncertainty, not the chemical analyses, mainly as a result of the contaminant heterogeneity within sampling locations at a site. One in situ and one ex situ measurement technique were used to represent these two contrasting approaches to characterizing a site contaminated with lead in topsoil. The measurement uncertainty, from both sampling and analyses, was estimated for the two techniques, and its fitness-for-purpose was assessed using the innovative optimized contaminated land investigation (OCLI) method. It is objectively demonstrated by the OCLI method that the in situ method (portable X-ray fluorescence) was three times more cost-effective than the ex situ (AAS) method at characterizing a contaminated site, despite generating higher uncertainty on individual measurements.

Item Type: Article
Additional Information: Taylor was Ramsey's graduate student. Potts (Open University) provided expertise in in-situ measurement. Marks new environmental measurement strategy, by showing mathematically that measurements with higher uncertainty can be advantageous in some circumstances, rather than always deleterious. Approach enables increased scientific and regulatory acceptance of in-situ measurements internationally.
Schools and Departments: School of Life Sciences > Evolution, Behaviour and Environment
Depositing User: Michael Ramsey
Date Deposited: 06 Feb 2012 19:22
Last Modified: 20 Mar 2012 15:20
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