Reducing variance in batch partitioning measurements

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The partitioning experiment is commonly performed with little or no attention to reducing measurement variance. Batch test procedures such as those used to measure K{sub d} values (e.g., ASTM D 4646 and EPA402 -R-99-004A) do not explain how to evaluate measurement uncertainty nor how to minimize measurement variance. In fact, ASTM D 4646 prescribes a sorbent:water ratio that prevents variance minimization. Consequently, the variance of a set of partitioning measurements can be extreme and even absurd. Such data sets, which are commonplace, hamper probabilistic modeling efforts. An error-savvy design requires adjustment of the solution:sorbent ratio so that approximately half of ... continued below

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Mariner, Paul E. August 11, 2010.

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The partitioning experiment is commonly performed with little or no attention to reducing measurement variance. Batch test procedures such as those used to measure K{sub d} values (e.g., ASTM D 4646 and EPA402 -R-99-004A) do not explain how to evaluate measurement uncertainty nor how to minimize measurement variance. In fact, ASTM D 4646 prescribes a sorbent:water ratio that prevents variance minimization. Consequently, the variance of a set of partitioning measurements can be extreme and even absurd. Such data sets, which are commonplace, hamper probabilistic modeling efforts. An error-savvy design requires adjustment of the solution:sorbent ratio so that approximately half of the sorbate partitions to the sorbent. Results of Monte Carlo simulations indicate that this simple step can markedly improve the precision and statistical characterization of partitioning uncertainty.

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  • Water-Rock Interaction, WRI-13, Guanajuato, Mexico, August 16-20, 2010

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  • Report No.: SAND2010-5419P
  • Grant Number: DE-AC04-94AL85000
  • Office of Scientific & Technical Information Report Number: 1087314
  • Archival Resource Key: ark:/67531/metadc832505

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  • August 11, 2010

Added to The UNT Digital Library

  • May 19, 2016, 9:45 a.m.

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  • Dec. 1, 2016, 1:44 p.m.

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Mariner, Paul E. Reducing variance in batch partitioning measurements, article, August 11, 2010; United States. (digital.library.unt.edu/ark:/67531/metadc832505/: accessed October 17, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.