Radionuclide-specific Parameters Dataset

Manning, Karessa; Dolislager, Fred; Stewart, Debra; Noto, Katie

doi:10.11578/RAIS_RAD_PARAMS_12_13_2024/2481721

Title: Radionuclide-specific Parameters Dataset

Dataset
Other Related Research

Abstract

The radionuclide-specific parameters dataset is searchable for radiological information for multiple isotopes simultaneously. After selecting radionuclides of interest and the desired parameters, the RAIS will generate a table containing the values, chosen according to an established hierarchy. Results can be downloaded in Excel format. 50 parameters are available, including atomic number, soil to animal transfer coefficients, plant uptake coefficients, half-life, specific activity, and water solubility. Seven primary sources are used to populate the dataset of radiological-specific parameters. These values should be used in cancer risk assessments for the calculation of preliminary remediation goals (PRGs), hazard characterization, and transport modeling. Users can select up to 1000 radionuclides per query. The dataset supports environmental risk assessments, regulatory decision-making, and environmental planning with tools for benchmarking against risk-based standards. This structured approach ensures a robust evaluation of environmental risks tailored to regulatory needs.

Authors:

Manning, Karessa; Dolislager, Fred; Stewart, Debra; Noto, Katie

Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Oak Ridge National Laboratory
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Publication Date:: Sun Dec 01 04:00:00 UTC 2024

Other Number(s):: Runtime: 2024-12-13 15:45:16

Research Org.:: ORNLERASE (Oak Ridge National Laboratory Environmental Risk Assessment System Enterprise (ORNLERASE))

Sponsoring Org.:: USDOE Office of Environmental Management (EM)

OSTI Identifier:: 2481721

DOI:: https://doi.org/10.11578/RAIS_RAD_PARAMS_12_13_2024/2481721

Citation Formats


                    Manning, Karessa, Dolislager, Fred, Stewart, Debra, and Noto, Katie. Radionuclide-specific Parameters Dataset.  United States: N. p., 2024. 
        Web.  doi:10.11578/RAIS_RAD_PARAMS_12_13_2024/2481721.

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                    Manning, Karessa, Dolislager, Fred, Stewart, Debra, & Noto, Katie. Radionuclide-specific Parameters Dataset.  United States.  doi:https://doi.org/10.11578/RAIS_RAD_PARAMS_12_13_2024/2481721

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                    Manning, Karessa, Dolislager, Fred, Stewart, Debra, and Noto, Katie. 2024.  
"Radionuclide-specific Parameters Dataset".  United States.  doi:https://doi.org/10.11578/RAIS_RAD_PARAMS_12_13_2024/2481721.  https://www.osti.gov/servlets/purl/2481721. Pub date:Sun Dec 01 04:00:00 UTC 2024

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@article{osti_2481721,

  title        = {Radionuclide-specific Parameters Dataset},

  author       = {Manning, Karessa and Dolislager, Fred and Stewart, Debra and Noto, Katie},

  abstractNote = {The radionuclide-specific parameters dataset is searchable for radiological information for multiple isotopes simultaneously. After selecting radionuclides of interest and the desired parameters, the RAIS will generate a table containing the values, chosen according to an established hierarchy. Results can be downloaded in Excel format. 50 parameters are available, including atomic number, soil to animal transfer coefficients, plant uptake coefficients, half-life, specific activity, and water solubility. Seven primary sources are used to populate the dataset of radiological-specific parameters. These values should be used in cancer risk assessments for the calculation of preliminary remediation goals (PRGs), hazard characterization, and transport modeling. Users can select up to 1000 radionuclides per query. The dataset supports environmental risk assessments, regulatory decision-making, and environmental planning with tools for benchmarking against risk-based standards. This structured approach ensures a robust evaluation of environmental risks tailored to regulatory needs.},

  doi          = {10.11578/RAIS_RAD_PARAMS_12_13_2024/2481721},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sun Dec 01 04:00:00 UTC 2024},

  month        = {Sun Dec 01 04:00:00 UTC 2024}

}

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DOI: https://doi.org/10.11578/RAIS_RAD_PARAMS_12_13_2024/2481721

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