Ecological Benchmark for Radionuclides

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

doi:10.11578/RAIS_RAD_ECO_12_12_2024/2481255

Title: Ecological Benchmark for Radionuclides

Dataset
Other Related Research

Abstract

The Ecological Benchmark Tool for radionuclides dataset serves as a comprehensive repository of benchmarks designed to assess ecological risks at contaminated sites. This tool facilitates the evaluation of various environmental media and contaminants, supporting regulatory compliance and ecological protection. Benchmarks are available for sediment, soil, and surface water. The dataset also provides species-specific benchmarks for fish, plants, birds, mammals, and invertebrates. Users can select benchmark sources, media, individual radionuclides, and retrieve results in tabular or spreadsheet formats for analysis. Benchmarks are derived from authoritative sources, including government agencies, scientific councils, and academic publications. The dataset supports ecological risk assessments, regulatory decision-making, and environmental planning, with tools for benchmarking against radiological thresholds, sensitive species protection, and habitat impact evaluations. This structured approach ensures a robust evaluation of ecological risks tailored to site-specific and regulatory needs.

Authors:

Stewart, Debra; Dolislager, Fred; Manning, Karessa; 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:: Sat Nov 30 23:00:00 EST 2024

Other Number(s):: Runtime: 2024-12-13 18:37:33

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

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

OSTI Identifier:: 2481255

DOI:: https://doi.org/10.11578/RAIS_RAD_ECO_12_12_2024/2481255

Citation Formats


                    Stewart, Debra, Dolislager, Fred, Manning, Karessa, and Noto, Katie. Ecological Benchmark for Radionuclides.  United States: N. p., 2024. 
        Web.  doi:10.11578/RAIS_RAD_ECO_12_12_2024/2481255.

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                    Stewart, Debra, Dolislager, Fred, Manning, Karessa, & Noto, Katie. Ecological Benchmark for Radionuclides.  United States.  doi:https://doi.org/10.11578/RAIS_RAD_ECO_12_12_2024/2481255

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                    Stewart, Debra, Dolislager, Fred, Manning, Karessa, and Noto, Katie. 2024.  
"Ecological Benchmark for Radionuclides".  United States.  doi:https://doi.org/10.11578/RAIS_RAD_ECO_12_12_2024/2481255.  https://www.osti.gov/servlets/purl/2481255. Pub date:Sat Nov 30 23:00:00 EST 2024

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@article{osti_2481255,

  title        = {Ecological Benchmark for Radionuclides},

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

  abstractNote = {The Ecological Benchmark Tool for radionuclides dataset serves as a comprehensive repository of benchmarks designed to assess ecological risks at contaminated sites. This tool facilitates the evaluation of various environmental media and contaminants, supporting regulatory compliance and ecological protection. Benchmarks are available for sediment, soil, and surface water. The dataset also provides species-specific benchmarks for fish, plants, birds, mammals, and invertebrates. Users can select benchmark sources, media, individual radionuclides, and retrieve results in tabular or spreadsheet formats for analysis. Benchmarks are derived from authoritative sources, including government agencies, scientific councils, and academic publications. The dataset supports ecological risk assessments, regulatory decision-making, and environmental planning, with tools for benchmarking against radiological thresholds, sensitive species protection, and habitat impact evaluations. This structured approach ensures a robust evaluation of ecological risks tailored to site-specific and regulatory needs.},

  doi          = {10.11578/RAIS_RAD_ECO_12_12_2024/2481255},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sat Nov 30 23:00:00 EST 2024},

  month        = {Sat Nov 30 23:00:00 EST 2024}

}

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DOI: https://doi.org/10.11578/RAIS_RAD_ECO_12_12_2024/2481255

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