EMUE-D3-2-LowMassBaPEvaluation

The example shows the uncertainty evaluation for the quantification of low masses of benzo[a]pyrene (BaP), which is an important Polycyclic Aromatic Hydrocarbon (PAH) for ambient air monitoring. Comparison between the results obtained according to the GUM uncertainty framework and the Monte Carlo method for the propagation of distributions applied to both real and simulated data sets are shown and discussed. [Activity A2.1.2]. Files contained in the dataset are: A212_Report.pdf: Report “Uncertainty evaluation for the quantification of low masses of benzo[a]pyrene” A212_Report.tex: LaTeX file to be compiled in order to produce A212_Report.pdf A212_Report.synctex.gz: file generated when compiling A212_Report.tex CompendiumA212.bib: bibliography file Realcase.jpeg: Figure 1 in the A212_Report.pdf Simcase.jpeg: Figure 2 in the A212_Report.pdf A212_BaP_example.r: uncertainty evaluation by the Law of Propagation of Uncertainty and by the Monte Carlo method of propagation of distributions (opened as a .txt file, it provides the example raw data).