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Aerial view of the double composite-liner system at the base of
the Monticello Mill Tailings repository.
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Introduction
A probabilistic, risk-based performance-assessment method has been developed to assist
designers, regulators, and stakeholders in the selection, design, and monitoring of
long-term covers to isolate subsurface contaminants. Current landfill-cover design
guidelines, such as those stated in the
Resource Conservation and Recovery Act, are not risk-based and do not consider
long-term site-specific influences such as climate, vegetation, and soils. These design
guidelines may not address important long-term features, events, and processes at the site
that may contribute to the long-term risk of groundwater contamination and human exposure.
In addition, traditional design guidelines for covers often rely on deterministic models
of flow and transport processes that neglect uncertainty inherent in actual contaminant
transport.
A probabilistic, risk-based performance-assessment methodology considers regulatory
requirements, site-specific parameters, engineering-design parameters, and long-term
verification and monitoring requirements. Because many of the contaminants are
long-lived, this methodology also considers changes in the environmental setting
(e.g., precipitation, temperature) and cover components (e.g., liner integrity) for
long time periods (>100 years). Uncertainty and variability in important site-specific
parameters are also incorporated through stochastic simulations in this method.
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Performance-Assessment Process
As defined by
DOE M 435.1-1, a performance assessment is
An analysis of a radioactive waste
disposal facility conducted to demonstrate there is a reasonable expectation that
performance objectives established for the long-term protection of the public and
the environment will not be exceeded following closure of the facility.
In addition,
DOE M
435.1-1 also states that the method used for the performance assessment must
include uncertainty analyses. A method that addresses these requirements has been
used for the Waste Isolation Pilot Plant
(DOE, 1996), the
Yucca Mountain Project
(DOE, 1998), and the intermediate-depth Greater
Confinement Disposal Boreholes (Cochran et al., 2001) to assess the long-term
performance of nuclear waste repositories. Uncertainty analyses and probabilistic
approaches have also been used for decommissioning of contaminated sites
(Meyer and Gee, 1999;
Meyer and Taira, 2001). A similar systematic approach is proposed here to conduct
performance assessments for long-term covers. The approach is outlined as follows:
- Develop and screen scenarios based on
regulatory requirements (performance objectives) and relevant features,
events, and processes
- Develop models of relevant features,
events, and processes
- Develop values and/or uncertainty
distributions for uncertain input parameters
- Perform calculations and sensitivity/
uncertainty analyses
- Document results and provide feedback
to previous steps and associated areas to improve calculations, as needed
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Performance-Assessment Demonstrations
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Alternative Landfill Cover Demonstration
The ALCD was a research program conducted to investigate the performance of
various landfill cover systems including alternatives that may be well suited for
arid and semi-arid climates. This research involved the design, construction and
monitoring of six large-scale cover systems at a test facility located at
Sandia National Laboratories in Albuquerque,
NM. Water balance and vegetation aspects were monitored beginning in 1995 and
continued through 2002 for each cover system. Soil hydraulic properties were
measured in the laboratory and field. Numerical simulations of the water balance
for each cover system were conducted to assess current design approaches and gain
insight into the cover performance. For more information click
here.
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DOE Relevance
Long-term cover systems are needed at U.S. Department
of Energy (DOE) sites to assist in isolating contaminants from the biosphere
at near-surface landfills, waste-disposal sites, and high-level radioactive waste
tanks. The long-term covers are considered to be a vital remedial option for DOE
2006 Accelerated Cleanup Plan (DOE/EM-0362), which intends to clean up more than 90
percent of the contaminated sites in DOE
Environmental Management Program. In addition,
DOE Order
435.1 states that performance assessments are to be conducted for low-level
radioactive waste disposed after September 26, 1988, and that performance objectives
should be evaluated for a 1,000-year period to determine potential risk impacts to
the public and environment.
The use of performance assessments for long-term cover systems also provides the following benefits:
- Quantification of uncertainty in the simulated performance metrics
- Identification of parameters and processes most important to performance for prioritization of site
characterization and long-term monitoring activities
- Comparison of alternative designs to optimize cost and performance while ensuring that regulatory
requirements are met
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Reports and Presentations
- Ho, C.K., T. Goering, J. Peace, and M. Miller, Public Presentation of "Probabilistic Performance-Assessment Modeling of the Mixed Waste Landfill at Sandia National Laboratories," SAND2005-7432P, Albuquerque, NM, January 2006.
- Ho, C.K., T. Goering, J. Peace, and M. Miller, Probabilistic Performance-Assessment Modeling of the Mixed Waste Landfill at Sandia National Laboratories (2nd Edition), SAND2007-0170, Sandia National Laboratories, Albuquerque, NM, January 2007.
- Ho, Clifford K., Arnold, Bill W., Cochran, John R., Taria, Randal Y., and
Pelton, Mitchell A., "A probabilistic model and software tool for evaluating
the long-term performance of landfill covers", Environmental Modelling and Software Journal,
19, 2004, pp. 63-88
- Ho, Clifford K., Arnold, Bill W., Cochran, John R., and Taria, Randal Y.,
"Development of a Risk-Based Probabilistic
Performance-Assessment Method for Long-Term Cover Systems--2nd Edition",
Sandia National Laboratories Report SAND2002-3131, October 2002
- Ho, Clifford K., Arnold, Bill W., Cochran, John R., Taria, Randal Y., and
Webb, Stephen W.,
"Development of a Risk-Based Probabilistic Performance-Assessment Method for Long-Term
Cover Systems--Application to Monticello Mill Tailings Repository", Sandia National
Laboratories Report SAND2001-3032, October 2001
- Dwyer, Stephen F., Reavis, Bruce, and Newman, Gretchen "Alternative Landfill Cover Demonstration FY2000 Annual Data Report",
Sandia National Laboratories Report SAND2000-2427, October 2000
- Waugh, W. J.,
"Monitoring the Long-Term Performance of Uranium Mill Tailings Covers", Ray F. Weston,
Inc, Grand Junction Office, Grand Junction, CO
- Hauser, Victor, Weand, Borroon, Gill, Marc,
"Alternative Landfill Covers", The Air Force Center for Environmental Excellence,
Technology Transfer Division, July 2001
- PowerPoint Presentation, Ho, Clifford K., Arnold, Bill W., Cochran, John R., and
Taria, Randal Y., Risk-Based Performance-Assessment
for Long-Term Cover Systems: Sensitivity and Uncertainty Analyses, Spectrum
Conference, August 2002
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Links
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Contact Us
For more information, please contact:
Cliff Ho
Sandia National Laboratories
P.O. Box 5800
Albuquerque, NM 87185-0735
(505) 844-2384
ckho@sandia.gov
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