Month: June 2020

Using sampling uncertainty to distinguish small composition variations of a large river area!

Posted on by rjsilva@fc.ul.pt

Free share link: https://authors.elsevier.com/a/1bFkQ,ashxm80 (Until 7 August 2020) The assessment of long-term trends in river water composition is hampered by river composition heterogeneity, and sampling and sample analysis uncertainty. This work describes a novel methodology for the reliable detection of small river composition trends by taking all relevant uncertainty components into account. The methodology was Read more about Using sampling uncertainty to distinguish small composition variations of a large river area![…]

Instrumental Quantifications: Easy bottom-up uncertainty evaluations!

Posted on by rjsilva@fc.ul.pt

The paper “Monte Carlo Bottom-up Evaluation of Global Instrumental Quantification Uncertainty: Flexible and user-friendly computational tool” makes bottom-up uncertainty evaluations easy! (DOI doi.org/10.1016/j.chemosphere.2020.127285). This research presents a novel and flexible tool for the Monte Carlo simulation of global instrumental quantifications uncertainty applicable to determinations supported on low quality and correlated calibrators values, homoscedastic or heteroscedastic signals’ Read more about Instrumental Quantifications: Easy bottom-up uncertainty evaluations![…]

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