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Estimating and reducing errors in soil sampling
2004 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Contaminated sites are sampled and analysed to assess their remediation need. In the process the question arises if the results of the analysis represents the site they are taken from properly. Sampling and preparation is known to induce errors. Results from the analysis of soil samples may be expected to include errors. For a heterogeneous material like soil, much of the overall errors may be associated with the sampling and sample handling. To improve the reliability of the results, the sampling and preparation procedure need to be evaluated and improved. This thesis focus on how to estimate and reduce sampling errors. According to the Theory of Sampling (TOS), also known as Pierre Gy's Sampling Theory, the total sampling error is a sum of seven different errors. The theory describes how to calculate the uncertainty of some errors. It also describes how to reduce the errors. A case study were used for calculating the sampling error and make comparisons with the analytical error. Ways to reduce sampling errors are presented and discussed as application of TOS on the sampling of contaminated soil. The errors can be reduced by means like: Grinding or milling the samples Increase the sample size Taking several small increments to compose a sample Avoiding bias during sub-sampling through selection of equipment

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2004. , 13 p.
Licentiate thesis / Luleå University of Technology, ISSN 1402-1757 ; 2004:47
Research subject
Waste Science and Technology
URN: urn:nbn:se:ltu:diva-17111Local ID: 1ae90270-c1ae-11db-9ea3-000ea68e967bOAI: diva2:990108
Godkänd; 2004; 20070109 (mlk)Available from: 2016-09-29 Created: 2016-09-29Bibliographically approved

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