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    Author(s): Susan Schilling; Paul Miller; Brent Takemoto
    Date: 1996
    Source: In: Miller, Paul R.; Stolte, Kenneth W.; Duriscoe, Daniel M.; Pronos, John, technical coordinators. Evaluating ozone air pollution effects on pines in the western United States. Gen. Tech. Rep. PSW–GTR–155. Albany, CA: Pacific Southwest Research Station, Forest Service, U.S. Department of Agriculture; p. 63-65
    Publication Series: General Technical Report (GTR)
    Station: Pacific Southwest Research Station
    PDF: View PDF  (54 KB)

    Description

    Uniform, or standard, measurement methods of data are critical to projects monitoring change to forest systems. Standardized methods, with known or estimable errors, contribute greatly to the confidence associated with decisions on the basis of field data collections (Zedaker and Nicholas 1990). Quality assurance (QA) for the measurement process includes operations and procedures so that the data are of the specified quality within a stated level of uncertainty. Quality is acceptable when data are consistent, lack uncertainty, and meet users’ needs. Some of the elements of a QA plan for ozone air pollution studies are proposed for use in the interagency project, Forest Ozone REsponse STudy (FOREST).

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    Citation

    Schilling, Susan; Miller, Paul; Takemoto, Brent 1996. Quality assurance, training, and certification in ozone air pollution studies. In: Miller, Paul R.; Stolte, Kenneth W.; Duriscoe, Daniel M.; Pronos, John, technical coordinators. Evaluating ozone air pollution effects on pines in the western United States. Gen. Tech. Rep. PSW–GTR–155. Albany, CA: Pacific Southwest Research Station, Forest Service, U.S. Department of Agriculture; p. 63-65

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