Literature DB >> 15506632

Using multimedia modeling to expedite site characterization.

Curtis Travis1, Karen R Obenshain, James T Gunter, James L Regens, Christopher Whipple.   

Abstract

GOAL, SCOPE AND
BACKGROUND: This paper uses two case studies of U.S. Department of Energy nuclear weapons complex installations to illustrate the integration of expedited site characterization (ESC) and multimedia modeling in the remedial action decision making process. CONCEPTUAL SITE MODELS, MULTIMEDIA MODELS, AND EXPEDITED SITE CHARACTERIZATION: Conceptual site models outline assumptions about contaminates and the spatial/temporal distribution of potential receptors. Multimedia models simulate contaminant transport and fate through multiple environmental media, estimate potential human exposure via specific exposure pathways, and estimate the risk of cancer and non-cancer health outcomes. ESC relies on using monitoring data to quantify the key components of an initial conceptual site model that is modified iteratively using the multimedia model. CASE STUDIES: Two case studies are presented that used the ESC approach: Los Alamos National Laboratory (LANL) and Pantex. LANL released radionuclides, metals, and organic compounds, into canyons surrounding the facility. The Pantex Plant has past waste management operations which included burning chemical wastes in unlined pits, burying wastes in unlined landfills, and discharging plant wastewaters into on-site surface waters.
CONCLUSIONS: The case studies indicate that using multimedia models with the ESC approach can inform assessors about what, where, and how much site characterization data needs to be collected to reduce the uncertainty associated with risk assessment. Lowering the degree of uncertainty reduces the time and cost associated with assessing potential risk and increases the confidence that decision makers have in the assessments performed.

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Year:  2004        PMID: 15506632     DOI: 10.1007/BF02979643

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  3 in total

1.  Predicting chemical risks with multimedia fate models.

Authors:  R Renner
Journal:  Environ Sci Technol       Date:  1995-12-01       Impact factor: 9.028

2.  Multimedia benchmarking analysis for three risk assessment models: RESRAD, MMSOILS, and MEPAS.

Authors:  W B Mills; J J Cheng; J G Droppo; E R Faillace; E K Gnanapragasam; R A Johns; G F Laniak; C S Lew; D L Strenge; J F Sutherland; G Whelan; C Yu
Journal:  Risk Anal       Date:  1997-04       Impact factor: 4.000

3.  An overview of a multimedia benchmarking analysis for three risk assessment models: RESRAD, MMSOILS, and MEPAS.

Authors:  G F Laniak; J G Droppo; E R Faillace; E K Gnanapragasam; W B Mills; D L Strenge; G Whelan; C Yu
Journal:  Risk Anal       Date:  1997-04       Impact factor: 4.000

  3 in total
  1 in total

1.  Irradiation of sorbents by ions of polymorphic metals for modeling 90strontium sedimentation.

Authors:  Elena I Kurbatova; Alexandre I Ksenofontov; Alexey M Dmitriyev; James L Regens
Journal:  Environ Sci Pollut Res Int       Date:  2007-06       Impact factor: 5.190

  1 in total

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