Publication Information
Title: Quality assurance, training, and certification in ozone air pollution studies
Author: Schilling, Susan; Miller, Paul; Takemoto, Brent
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
Station ID: GTR-PSW-155
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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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. |