Using Pre-Statistical Analysis to Streamline Monitoring Assessments

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A variety of statistical methods exist to aid evaluation of groundwater quality and subsequent decision making in regulatory programs. These methods are applied because of large temporal and spatial extrapolations commonly applied to these data. In short, statistical conclusions often serve as a surrogate for knowledge. However, facilities with mature monitoring programs that have generated abundant data have inherently less uncertainty because of the sheer quantity of analytical results. In these cases, statistical tests can be less important, and ''expert'' data analysis should assume an important screening role.The WSRC Environmental Protection Department, working with the General Separations Area BSRI Environmental ... continued below

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Reed, J.K. October 20, 1999.

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A variety of statistical methods exist to aid evaluation of groundwater quality and subsequent decision making in regulatory programs. These methods are applied because of large temporal and spatial extrapolations commonly applied to these data. In short, statistical conclusions often serve as a surrogate for knowledge. However, facilities with mature monitoring programs that have generated abundant data have inherently less uncertainty because of the sheer quantity of analytical results. In these cases, statistical tests can be less important, and ''expert'' data analysis should assume an important screening role.The WSRC Environmental Protection Department, working with the General Separations Area BSRI Environmental Restoration project team has developed a method for an Integrated Hydrogeological Analysis (IHA) of historical water quality data from the F and H Seepage Basins groundwater remediation project. The IHA combines common sense analytical techniques and a GIS presentation that force direct interactive evaluation of the data. The IHA can perform multiple data analysis tasks required by the RCRA permit. These include: (1) Development of a groundwater quality baseline prior to remediation startup, (2) Targeting of constituents for removal from RCRA GWPS, (3) Targeting of constituents for removal from UIC, permit, (4) Targeting of constituents for reduced, (5)Targeting of monitoring wells not producing representative samples, (6) Reduction in statistical evaluation, and (7) Identification of contamination from other facilities.

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Medium: P; Size: vp.

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INIS; OSTI as DE00014083

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  • 11th TIE Workshop, Las Vegas, NV (US), 10/26/1999--10/28/1999

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  • Report No.: WSRC-MS-99-00417
  • Grant Number: AC09-96SR18500
  • Office of Scientific & Technical Information Report Number: 14083
  • Archival Resource Key: ark:/67531/metadc621983

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  • October 20, 1999

Added to The UNT Digital Library

  • June 16, 2015, 7:43 a.m.

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  • May 5, 2016, 5:57 p.m.

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Reed, J.K. Using Pre-Statistical Analysis to Streamline Monitoring Assessments, article, October 20, 1999; South Carolina. (digital.library.unt.edu/ark:/67531/metadc621983/: accessed November 25, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.