Field sampling design and method of statistical analysis to define the areal extent of PCB contamination in low-level waste pond sediments

Prohammer, L A; Riley, R G; Thomas, J M

Title: Field sampling design and method of statistical analysis to define the areal extent of PCB contamination in low-level waste pond sediments

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Abstract

This study demonstrates a cost-effective, site-specific field sampling program and statistical analysis scheme to estimate the areal extent of organic chemical contamination in low-level chemical and radioactive waste pond sediments. This approach was used to estimate the distribution of polychlorinated biphenyls (PCB's) in a Hanford area low-level waste pond. Using the statistical technique of kriging, a contour map of PCB concentrations in the pond was developed. The kriging analysis produced variance estimates about the contours, allowing evaluation of the estimated PCB concentrations and the ability to optimize placement of further sampling effort. Results of the study indicated that PCB concentrations in the pond sediments were generally less than 100 ppB.

Authors:: Prohammer, L A; Riley, R G; Thomas, J M

Publication Date:: Fri Feb 01 00:00:00 EST 1985

Research Org.:: Pacific Northwest Labs., Richland, WA (USA)

OSTI Identifier:: 6044226

Report Number(s):: PNL-SA-12569; CONF-850314-46
ON: DE85009433

DOE Contract Number:: AC06-76RL01830

Resource Type:: Conference

Resource Relation:: Conference: Waste management '85, Tucson, AZ, USA, 24 Mar 1985

Country of Publication:: United States

Language:: English

Subject:: 11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS; 12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; 54 ENVIRONMENTAL SCIENCES; CHLORINATED AROMATIC HYDROCARBONS; SAMPLING; CHEMICAL ANALYSIS; CHEMICAL WASTES; DIFFUSION; KRIGING; LOW-LEVEL RADIOACTIVE WASTES; SEDIMENTS; AROMATICS; HALOGENATED AROMATIC HYDROCARBONS; MATERIALS; MATHEMATICS; ORGANIC CHLORINE COMPOUNDS; ORGANIC COMPOUNDS; ORGANIC HALOGEN COMPOUNDS; RADIOACTIVE MATERIALS; RADIOACTIVE WASTES; STATISTICS; WASTES; 053000* - Nuclear Fuels- Environmental Aspects; 052002 - Nuclear Fuels- Waste Disposal & Storage; 510200 - Environment, Terrestrial- Chemicals Monitoring & Transport- (-1989)

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                    Prohammer, L A, Riley, R G, and Thomas, J M. Field sampling design and method of statistical analysis to define the areal extent of PCB contamination in low-level waste pond sediments.  United States: N. p., 1985. 
        Web.

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                    Prohammer, L A, Riley, R G, & Thomas, J M. Field sampling design and method of statistical analysis to define the areal extent of PCB contamination in low-level waste pond sediments.  United States.

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                    Prohammer, L A, Riley, R G, and Thomas, J M. 1985.  
        "Field sampling design and method of statistical analysis to define the areal extent of PCB contamination in low-level waste pond sediments".  United States.

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@article{osti_6044226,

  title        = {Field sampling design and method of statistical analysis to define the areal extent of PCB contamination in low-level waste pond sediments},

  author       = {Prohammer, L A and Riley, R G and Thomas, J M},

  abstractNote = {This study demonstrates a cost-effective, site-specific field sampling program and statistical analysis scheme to estimate the areal extent of organic chemical contamination in low-level chemical and radioactive waste pond sediments. This approach was used to estimate the distribution of polychlorinated biphenyls (PCB's) in a Hanford area low-level waste pond. Using the statistical technique of kriging, a contour map of PCB concentrations in the pond was developed. The kriging analysis produced variance estimates about the contours, allowing evaluation of the estimated PCB concentrations and the ability to optimize placement of further sampling effort. Results of the study indicated that PCB concentrations in the pond sediments were generally less than 100 ppB.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/6044226},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Feb 01 00:00:00 EST 1985},

  month        = {Fri Feb 01 00:00:00 EST 1985}

}

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