Data Quality Explorations Using Duplicate Measurements
N.P. Hyslop and W.H. White
Crocker Nuclear Laboratory, University of California at Davis, Davis, CA 95616; 530-754-8979, E-mail: firstname.lastname@example.org
Environmental measurements are subject to uncontrolled natural variations that are difficult to reproduce in the laboratory. Collocated measurements are the most direct and comprehensive approach to characterizing measurement quality because the observed differences reflect the actual measurement performance under the natural environmental variability. Collocated data have been used extensively to estimate measurement precision, but these rich data sets can be used to explore several additional data characteristics. This presentation uses collocated measurements from the Interagency Monitoring of PROtected Visual Environments (IMPROVE) network to explore relationships between measurement precision and concentration, the existing model of precision, measurement distributions, detection limits, and relationships among measurement errors in different species. Figures 1 and 2 illustrate a few of these features.