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Improved Understanding of Sources of Variability in Groundwater Sampling for Long-Term Monitoring Programs

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The overall objective of this research project has been to identify key sources of variability that influence volatile organic chemical 201VOC202 concentration measurements in water samples collected from groundwater monitoring wells using current sampling and analysis techniques. By understanding the sources of variability in groundwater monitoring results improved sampling and analysis methods can be developed to reduce and control for sampling variability. Methods The project has been implemented through completion of three project tasks 1. Evaluation of Existing Datasets 201Task 1202 The initial project task utilized large existing groundwater monitoring datasets to identify key sources of variability in groundwater monitoring results. The data mining study involved i202 identification of large databases of groundwater monitoring results, ii202 selection of datasets from these databases that were suitable for statistical analysis, and iii202 exploratory analysis and statistical analysis of the datasets to identify factors associated with monitoring variability. For this task, we identified three large groundwater monitoring databases i202 the Hill Air Force Base 201AFB202 database, ii202 the Marine Corps Logistics Base 201MCLB202 Albany database, and iii202 a database of monitoring results from 48 underground storage tank sites compiled by GSI. Because the Hill AFB database included the most comprehensive documentation, many of the analyses could only be conducted using the Hill AFB database. 2. Evaluation of Short-Term Variability 201Task 2202 For this task, we characterized sources of short-term variability in groundwater monitoring results through a field program that involved collecting and analyzing a large number of groundwater samples from a set of monitoring wells over a short period of time.

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  • Inorganic Chemistry
  • Hydrology, Limnology and Potamology

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