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Other Information: PBD: Nov 1995 | 1999

Assessment of Unabated Facility Emission Potentials for Evaluating Airborne Radionuclide Monitoring Requirements at Pacific Northwest National Laboratory - 2001

Marcel Y. Ballinger; Monte J. Sula; Todd L. Gervais; Keith D. Shields; Daniel R. Edwards

Assessments were performed to evaluate compliance with the airborne radionuclide emission monitoring requirements in the National Emission Standards for Hazardous Air Pollutants. In these assessments, potential unabated offsite doses were evaluated for 31 emission locations at the US DOE`s Pacific Northwest National Laboratory on the Hanford Site. Four buildings met Sate and Federal critical for continuous sampling of airborne radionuclide emissions. The assessments were performed using building radionuclide inventory data obtained in 1995.


Journal of The Air & Waste Management Association | 2014

Comparison of stack measurement data from R&D facilities to regulatory criteria: A case study from PNNL

Marcel Y. Ballinger; Cheryl J. Duchsherer; Rodger K. Woodruff; Timothy V. Larson

Chemical emissions from research and development (R&D) activities are difficult to estimate because of the large number of chemicals used and the potential for continual changes in processes. In this case study, stack measurements taken from R&D facilities at Pacific Northwest National Laboratory (PNNL) were examined, including extreme worst-case emissions estimates and alternate analyses using a Monte Carlo method that takes into account the full distribution of sampling results. The objective of this study was to develop techniques to estimate emissions from stack measurement data that take into account a high degree of variability in the actual emissions. The results from these analyses were then compared to emissions estimated from chemical inventories. Results showed that downwind ambient air concentrations calculated from the stack measurement data were below acceptable source impact levels (ASILs) for almost all compounds, even under extreme worst-case analyses. However, for compounds with averaging periods of a year, the unrealistic but simplifying extreme worst-case analysis often resulted in calculated emissions that were above the lower level regulatory criteria used to determine modeling requirements or to define trivial releases. Compounds with 24-hr averaging periods were nearly all several orders of magnitude below all, including the trivial release, criteria. The alternate analysis supplied a more realistic basis of comparison and an ability to explore effects under different operational modes. Implications: Air emissions from research operations are difficult to estimate because of the changing nature of research processes and the small quantity and wide variety of chemicals used. Stack measurements can be used to verify compliance with applicable regulatory criteria. This study shows that while extreme worst-case assumptions can be used for a relatively simple initial comparison, methods that take into account the full range of measurement data are needed to provide a more realistic estimate of emissions for comparison to regulatory criteria, particularly those criteria that define trivial levels of environmental concern.


Journal of The Air & Waste Management Association | 2013

Estimating Air Chemical Emissions from Research Activities Using Stack Measurement Data

Marcel Y. Ballinger; Cheryl J. Duchsherer; Rodger K. Woodruff; Timothy V. Larson

Current methods of estimating air emissions from research and development (R&D) activities use a wide range of release fractions or emission factors with bases ranging from empirical to semi-empirical. Although considered conservative, the uncertainties and confidence levels of the existing methods have not been reported. Chemical emissions were estimated from sampling data taken from four research facilities over 10 years. The approach was to use a Monte Carlo technique to create distributions of annual emission estimates for target compounds detected in source test samples. Distributions were created for each year and building sampled for compounds with sufficient detection frequency to qualify for the analysis. The results using the Monte Carlo technique without applying a filter to remove negative emission values showed almost all distributions spanning zero, and 40% of the distributions having a negative mean. This indicates that emissions are so low as to be indistinguishable from building background. Application of a filter to allow only positive values in the distribution provided a more realistic value for emissions and increased the distribution mean by an average of 16%. Release fractions were calculated by dividing the emission estimates by a building chemical inventory quantity. Two variations were used for this quantity: chemical usage, and chemical usage plus one-half standing inventory. Filters were applied so that only release fraction values from zero to one were included in the resulting distributions. Release fractions had a wide range among chemicals and among data sets for different buildings and/or years for a given chemical. Regressions of release fractions to molecular weight and vapor pressure showed weak correlations. Similarly, regressions of mean emissions to chemical usage, chemical inventory, molecular weight, and vapor pressure also gave weak correlations. These results highlight the difficulties in estimating emissions from R&D facilities using chemical inventory data. Implications  Air emissions from research operations are difficult to estimate because of the changing nature of research processes and the small quantity and wide variety of chemicals used. Analysis of stack measurements taken over multiple facilities and a 10-year period using a Monte Carlo technique provided a method to quantify the low emissions and to estimate release fractions based on chemical inventories. The variation in release fractions did not correlate well with factors investigated, confirming the complexities in estimating R&D emissions.


Other Information: PBD: 28 Sep 1999 | 1999

Assessment of Unabated Facility Emission Potentials for Evaluating Airborne Radionuclide Monitoring Requirements at Pacific Northwest National Laboratory - 1999

Marcel Y. Ballinger; Monte J. Sula; Todd L. Gervais; Keith D. Shields; Daniel R. Edwards

Assessments were performed to evaluate compliance with the airborne radionuclide emission monitoring requirements in the National Emission Standards for Hazardous Air Pollutants (NESHAP - U.S. Code of Federal Regulations, Title 40 Part 61, Subpart H) and Washington Administrative Code (WAC) 246-247: Radiation Protection - Air Emissions. In these assessments, potential unabated offsite doses were evaluated for emission locations at facilities owned by the U.S. Department of Energy and operated by Pacific Northwest National Laboratory (PNNL) on the Hanford Site. This report describes the inventory-based methods, and provides the results, for the assessment performed in 2001.


Archive | 2012

Pacific Northwest National Laboratory Potential Impact Categories for Radiological Air Emission Monitoring

Marcel Y. Ballinger; Todd L. Gervais; J. Matthew Barnett

In 2002, the EPA amended 40 CFR 61 Subpart H and 40 CFR 61 Appendix B Method 114 to include requirements from ANSI/HPS N13.1-1999 Sampling and Monitoring Releases of Airborne Radioactive Substances from the Stack and Ducts of Nuclear Facilities for major emission points. Additionally, the WDOH amended the Washington Administrative Code (WAC) 246-247 Radiation protection-air emissions to include ANSI/HPS N13.1-1999 requirements for major and minor emission points when new permitting actions are approved. A result of the amended regulations is the requirement to prepare a written technical basis for the radiological air emission sampling and monitoring program. A key component of the technical basis is the Potential Impact Category (PIC) assigned to an emission point. This paper discusses the PIC assignments for the Pacific Northwest National Laboratory (PNNL) Integrated Laboratory emission units; this revision includes five PIC categories.


Archive | 2000

Liquid Waste Certification Plan for Pacific Northwest National Laboratory, Rev. 2, July 2000

Marcel Y. Ballinger; Marvin J. McCarthy; Keith D. Shields

The Pacific Northwest National Laboratory operates a number of research and development facilities for the U.S. Department of Energy in the Hanford Sites 300 Area. Process wastewater from these facilities is sent to and treated by the 300 Area Treated Effluent Disposal Facility before being discharged to the Columbia River. This report provides facility-specific information, wastewater characteristics, and describes the controls used to ensure compliance with the TEDF Waste Acceptance Criteria Program.


ASTM special technical publications | 2000

Considerations of risk in liquid effluent management

Marcel Y. Ballinger; Keith D. Shields; John W. Buck; Gariann M. Gelston

Liquid effluent monitoring for research and development laboratories is difficult because of the diverse and variable effluent streams and wide range of chemicals used in continuously changing projects. Risk assessment tools can aid in the design of reasonable monitoring programs. In this paper, an assessment was performed to determine the human health risk of accidental discharges of chemicals into the sewer systems servicing research and development laboratories at the Hanford Sites 300 Area. As part of this assessment, the single largest container of chemical compounds used in the laboratories was assumed to be discharged into the sewer system transported to a treatment facility, then pass untreated into the Columbia River. The Multimedia Environmental Pollutant Assessment System was used to model the transport and fate of the chemical contaminants, and exposure estimates were obtained for two receptor locations and for population impacts. Results of this assessment indicated that the human health risk from the source terms analyzed would not exceed levels generally accepted as safe and that no additional controls or monitoring of specific chemicals were indicated from this risk perspective.


Atmospheric Environment | 2014

Source apportionment of stack emissions from research and development facilities using positive matrix factorization

Marcel Y. Ballinger; Timothy V. Larson


Archive | 2015

Pacific Northwest National Laboratory Annual Site Environmental Report for Calendar Year 2014

Joanne P. Duncan; Michael R. Sackschewsky; Harold T. Tilden; Jennifer Su-Coker; Jennifer L. Mendez; Marcel Y. Ballinger; Brad G. Fritz; Gregory A. Stoetzel; J. M. Barnett; Kami L. Lowry; Thomas W. Moon; James M. Becker; Michele A. Chamness


Archive | 2012

A Monte Carlo Technique to Estimate Emissions from R&D Facilities

Marcel Y. Ballinger; Cheryl J. Duchsherer

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Cheryl J. Duchsherer

Pacific Northwest National Laboratory

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Keith D. Shields

Pacific Northwest National Laboratory

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Thomas W. Moon

Pacific Northwest National Laboratory

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Brad G. Fritz

Pacific Northwest National Laboratory

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Gregory A. Stoetzel

Pacific Northwest National Laboratory

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Harold T. Tilden

Pacific Northwest National Laboratory

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J. Matthew Barnett

Pacific Northwest National Laboratory

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Jennifer Su-Coker

Pacific Northwest National Laboratory

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Joanne P. Duncan

Pacific Northwest National Laboratory

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