Quality Control for Regulators and Consultants: Laboratory Methods
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Author(s)
Miller, William P.
Wenner, David
Advisor(s)
Editor(s)
Hatcher, Kathryn J.
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Abstract
Measurements made as part of environmental
assessment and monitoring activities are subject to both
random and systematic errors (bias) that can reduce data
quality and influence sound project conclusions. Federal
quality assurance standards are seldom applied to smaller
state and private environmental projects. Many of the
potential errors in such projects arise from poor quality
control (QC) during sample preparation and analysis in the
lab, and from failure of project managers to request and
evaluate QC data. Basic sample set preparation can detect
the presence of systematic error, and can be used to
quantify the level of random error in a set of measure-
ments. Recommendations are given for types of QC
samples to include with data sets, and kinds of information
to request from in-house or contract analytical
laboratories.
Sponsor
Sponsored and Organized by: U.S. Geological Survey, Georgia Department of Natural Resources, Natural Resources Conservation Service, The University of Georgia, Georgia State University, Georgia Institute of Technology
Date
2001-03
Extent
Resource Type
Text
Resource Subtype
Proceedings