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Estimating the Sampling Uncertainty for the Analysis of Solid Refused Fuel
Author(s) -
Prikler Simon,
Garvens HansJürgen,
Winterstein Michael,
Einax Jürgen W.
Publication year - 2013
Publication title -
clean – soil, air, water
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.444
H-Index - 66
eISSN - 1863-0669
pISSN - 1863-0650
DOI - 10.1002/clen.201200625
Subject(s) - sampling (signal processing) , quality assurance , sample (material) , lot quality assurance sampling , variance (accounting) , statistics , sample size determination , computer science , set (abstract data type) , sampling design , mathematics , engineering , accounting , operations management , external quality assessment , business , chemistry , population , filter (signal processing) , chromatography , computer vision , demography , sociology , programming language
Uncertainty assessment of the parameters used for the reporting in the emissions trading system (ETS) to characterize fuels includes not only the processes in a laboratory but has to be expanded for inclusion of sampling and sample preparation. Analysis of variance was used to allocate the contributing uncertainties to the steps described. Apart from some specific results for sampling methods, it was observed that the uncertainty of sampling was in the same order of magnitude than the analytical and the sample preparation error. Several measures to enhance quality assurance in sampling and sample preparation could be derived from specific results. The results were used in the European Monitoring and Reporting Regulation, which set out the requirements for ETS. Sampling and sample preparation have to be included in uncertainty assessment as well as sampling procedures and sampling plans (including quality assurance) have to be agreed upon by the laboratories, carrying out the analytics of those samples.