Validating data from automated PAMS GC systems
- Radian Corp., Research Triangle Park, NC (United States)
Automated, continuous gas chromatographic (GC) techniques are currently the most cost effective way to directly meet the rigorous speciated VOC sampling frequency required for Photochemical Assessment Monitoring Stations (PAMS) ambient air quality surveillance monitoring networks. Validating data from these automated systems is the final and the most critical part of the chromatographic measurement process. The data is ultimately entered into the computer-based Aerometric Information and Retrieval System (AIRS)-Air Quality Subsystem (AQS) data base; therefore, the data must be consistent, reliable, and accurate. The EPA has defined data validation as a systematic process consisting of data editing, screening, checking, auditing, verification, certification, and review, for comparing a body of data to an established set of criteria to provide assurance that the data are adequate for their intended use. Prior to validating data, it is imperative that pre-measurement GC system setup and characterization, and Quality Assurance (QA) procedures for validating the GC data be performed to set the stage for successful validation of the generated data. The final data validation step, prior to AIRS-AQS entry, includes validating the chromatography result report, implementing a secondary processing/peak identification software, and qualitative or comparison review of a summary concentration ASCII report file. This paper discusses the procedures necessary to develop and implement an approach for validating speciated VOC data from automated, continuous GC PAMS systems.
- OSTI ID:
- 197335
- Report Number(s):
- CONF-9405167--
- Country of Publication:
- United States
- Language:
- English
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