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  1. Article ; Online: Use of Routine Environmental Monitoring Data to Establish a Dose-based Compliance System for a Low-level Radioactive Waste Disposal Site.

    Rood, Arthur S / Grogan, Helen A / Mohler, H Justin / Rocco, James R / Caffrey, Emily A / Mangini, Colby / Cartwright, Jay / Matthews, Travis / Shaw, Chris / Packard, Mark E / Till, John E

    Health physics

    2019  Volume 118, Issue 1, Page(s) 1–17

    Abstract: A dose-based compliance methodology was developed for Waste Control Specialists, LLC, low-level radioactive waste facility in Andrews, Texas, that allows routine environmental measurement data to be evaluated not only at the end of a year to determine ... ...

    Abstract A dose-based compliance methodology was developed for Waste Control Specialists, LLC, low-level radioactive waste facility in Andrews, Texas, that allows routine environmental measurement data to be evaluated not only at the end of a year to determine regulatory compliance, but also throughout the year as new data become available, providing a continuous assessment of the facility. The first step in the methodology is a screening step to determine the potential presence of site emissions in the environment, and screening levels are established for each environmental media sampled. The screening accounts for spatial variations observed in background for soil and temporal fluctuations observed in background for air. For groundwater, the natural activity concentrations in groundwater wells at the facility are highly variable, and therefore the methodology uses ratios for screening levels. The methodology compares the ratio of gross alpha to U + U to identify potentially abnormal alpha activity and the ratio of U to U to identify the potential presence of depleted uranium. Compliance evaluation is conducted for any samples that fail the screening step. Compliance evaluation uses the radionuclide-specific measurements to first determine (1) if the dose exceeds the background dose and if so, (2) the dose consequences, so that the appropriate investigation or action occurs. The compliance evaluation is applied to all environmental samples throughout the year and on an annual basis to determine regulatory compliance. The methodology is implemented in a cloud-based software application that is also made accessible to the regulator. The benefits of the methodology over the existing system are presented.
    MeSH term(s) Air Pollutants, Radioactive/analysis ; Environmental Monitoring/standards ; Groundwater/chemistry ; Humans ; Models, Theoretical ; Radiation Monitoring/methods ; Radiation Protection/legislation & jurisprudence ; Radiation Protection/standards ; Radioactive Waste/analysis ; Uranium/analysis ; Waste Disposal Facilities/legislation & jurisprudence ; Waste Disposal Facilities/standards ; Water Pollutants, Radioactive/analysis
    Chemical Substances Air Pollutants, Radioactive ; Radioactive Waste ; Water Pollutants, Radioactive ; Uranium (4OC371KSTK)
    Language English
    Publishing date 2019-11-07
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2406-5
    ISSN 1538-5159 ; 0017-9078
    ISSN (online) 1538-5159
    ISSN 0017-9078
    DOI 10.1097/HP.0000000000001116
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: RACER: dynamic use of environmental measurement data for decision making and communication.

    Mohler, H Justin / Grogan, Helen A / Rocco, James R / Kiefer, Ryan F / Till, John E

    Health physics

    2012  Volume 102 Suppl 1, Page(s) S13–21

    Abstract: To facilitate access to and use of environmental measurement data, Risk Assessment Corporation has developed a data management system as part of its Risk Analysis, Communication, Evaluation, and Reduction process. The concepts of data consistency are not ...

    Abstract To facilitate access to and use of environmental measurement data, Risk Assessment Corporation has developed a data management system as part of its Risk Analysis, Communication, Evaluation, and Reduction process. The concepts of data consistency are not new, but many data management applications are developed around managing the entire data life cycle, rather than on using the data to reach meaningful conclusions. The RACER process is specifically focused on the efficient use of available data to promote sound decision making. The RACER data management system provides a means of understanding trends in data, comparing data to frequently referenced comparison values, and organizing environmental measurement data for use by other components of the RACER process that evaluate human health impacts. Data transfers to the system can be automated to occur frequently for facilities collecting large volumes of data to achieve a dynamic point of access to measurement data that reflects the most recently available information. Because the RACER process is designed around the most common uses of data, its utility spans a broad range of potential applications, from routine monitoring and reporting to emergency response decision making based on potential human health impacts. Because it is portable and flexible, the elements of the system can be used in any situation where there is a need to efficiently access and interpret environmental measurement data. Its output and functions are equally relevant for small datasets with hundreds of measurements or large and complex datasets with millions of measurements.
    MeSH term(s) Communication ; Database Management Systems ; Decision Making ; Environmental Monitoring/statistics & numerical data ; Health Physics ; Humans ; Risk Reduction Behavior
    Language English
    Publishing date 2012-02
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2406-5
    ISSN 1538-5159 ; 0017-9078
    ISSN (online) 1538-5159
    ISSN 0017-9078
    DOI 10.1097/HP.0b013e318231aa62
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: An integrated approach to data management, risk assessment, and decision making.

    Till, John E / Grogan, Helen A / Mohler, H Justin / Rocco, James R / Rood, Arthur S / Mohler, S Shawn

    Health physics

    2012  Volume 102, Issue 4, Page(s) 367–377

    Abstract: This paper describes a methodology called Risk Analysis, Communication, Evaluation, and Reduction (RACER) that converts environmental data directly to human health risk to enhance decision making and communication. The methodology was developed and ... ...

    Abstract This paper describes a methodology called Risk Analysis, Communication, Evaluation, and Reduction (RACER) that converts environmental data directly to human health risk to enhance decision making and communication. The methodology was developed and implemented following the Cerro Grande fire in New Mexico that burned approximately 7,500 acres of Los Alamos National Laboratory in May 2000. The absence of a coordinated and comprehensive approach to managing and understanding environmental data was a major weakness in the responding agencies' ability to make and communicate decisions. RACER consists of three basic elements: managing information, converting information to knowledge, and communicating knowledge to decision makers and stakeholders. Data are maintained in a web-accessible database that accepts data as they are validated and uploaded. The user can select data for evaluation and convert them to knowledge using human health risk as a benchmark for ranking radionuclides, chemicals, pathways, or other criteria needed to make decisions. Knowledge about risk is communicated using graphic and tabular formats. The process is transparent, flexible, and rapid, which enhances credibility and trust among decision makers and stakeholders. The fundamental principles used in RACER can be applied anywhere radionuclides or chemicals are present in the environment.
    MeSH term(s) Communication ; Database Management Systems ; Decision Making ; Environment ; Humans ; Information Management ; Risk Assessment/methods ; Systems Integration
    Language English
    Publishing date 2012-04
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2406-5
    ISSN 1538-5159 ; 0017-9078
    ISSN (online) 1538-5159
    ISSN 0017-9078
    DOI 10.1097/HP.0b013e318239c022
    Database MEDical Literature Analysis and Retrieval System OnLINE

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