Data validation of PAMS auto-GC VOC data: Lessons learned
- Sonoma Technology, Inc., Santa Rosa, CA (United States)
- Connecticut Dept. of Environmental Protection, Hartford, CT (United States)
We have performed data validation of continuous volatile organic compound (VOC) data collected with automated gas chromatograph (auto-GCs) systems as a part of the Photochemical Assessment Monitoring Station (PAMS) network in Connecticut. Using a graphical platform from which to display the data, we performed quality control tasks on the data and began data analyses. The hourly concentrations of the PAMS target species were displayed in several ways including scatter plots, fingerprints, and time series. Using scatter plots, we investigated the relationship between species at one site or at a pair of sites. Fingerprint plots show the concentration of each species in a sample (in approximately elution order) and help to identify unique characteristics of the samples. Time series plots show the concentrations of species in every sample over a specified time period and are useful in showing the diurnal behavior of a species. Calibration data, contamination from shelter off-gassing, cold trap failure, and other problems were identified. This paper provides examples of our findings; these results will aid others in evaluating their continuous VOC data. 3 refs., 4 figs.
- OSTI ID:
- 617626
- Report Number(s):
- CONF-9605175--
- Country of Publication:
- United States
- Language:
- English
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