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Including Sorption to Black Carbon in Modeling Bioaccumulation of Polycyclic Aromatic Hydrocarbons: Uncertainty Analysis and Comparison to Field Data Hack, M.; Huijbregts, M.A.J.; Germans, A.A.; Roermond,
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What is uncertainty analysis and comparison?
Uncertainty analysis and comparison is a systematic process of assessing and evaluating the uncertainty in measurement data and comparing it against established standards or results. It involves identifying sources of uncertainty, quantifying them, and assessing their impact on overall measurement accuracy.
Who is required to file uncertainty analysis and comparison?
Organizations, laboratories, and entities that engage in measurements or assessments where uncertainty plays a critical role are typically required to file uncertainty analysis and comparison, especially for regulatory compliance, certification, or quality assurance purposes.
How to fill out uncertainty analysis and comparison?
To fill out an uncertainty analysis and comparison, one must gather all relevant measurement data, identify sources of uncertainty, quantify each source, perform calculations to determine overall uncertainty, and document the findings in a prescribed format for comparison with standards or reference values.
What is the purpose of uncertainty analysis and comparison?
The purpose of uncertainty analysis and comparison is to ensure the reliability and validity of measured data by quantifying uncertainty, enabling comparison against benchmarks, improving measurement practices, and fostering confidence in results.
What information must be reported on uncertainty analysis and comparison?
Information that must be reported typically includes the measurement results, sources of uncertainty, quantified uncertainties, overall uncertainty values, methodologies used for calculations, and any comparisons made to reference or standard values.
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