Development of Probabilistic Multimedia Multipathway Computer Codes

The deterministic multimedia dose/risk assessment codes RESRAD and RESRAD-BUILD have been widely used for many years for evaluation of sites contaminated with residual radioactive materials. The RESRAD code applies to the cleanup of sites ~soils! and the RESRAD-BUILD code applies to the cleanup of buildings and structures. This work describes the procedure used to enhance the deterministic RESRAD and RESRAD-BUILD codes for probabilistic dose analysis. A six-step procedure was used in developing default parameter distributions and the probabilistic analysis modules. These six steps include ~1! listing and categorizing parameters; ~2! ranking parameters; ~3! developing parameter distributions; ~4! testing parameter distributions for probabilistic analysis; ~5! developing probabi- listic software modules; and ~6! testing probabilistic modules and integrated codes. The procedures used can be applied to the develop- ment of other multimedia probabilistic codes. The probabilistic versions of RESRAD and RESRAD-BUILD codes provide tools for studying the uncertainty in dose assessment caused by uncertain input parameters. The parameter distribution data collected in this work can also be applied to other multimedia assessment tasks and multimedia computer codes.

[1]  E. R. Faillace,et al.  Benchmarking analysis of three multimedia models: RESRAD, MMSOILS, and MEPAS , 1995 .

[2]  D L Strenge,et al.  Multimedia Benchmarking Analysis for Three Risk Assessment Models: RESRAD, MMSOILS, and MEPAS , 1997, Risk analysis : an official publication of the Society for Risk Analysis.

[3]  Charley Yu,et al.  Benchmarking of the Saturated-Zone Module Associated with Three Risk Assessment Models: RESRAD, MMSOILS, and MEPAS , 1999 .

[4]  E. Faillace,et al.  Data collection handbook to support modeling the impacts of radioactive material in soil , 1993 .

[5]  D L Strenge,et al.  An overview of a multimedia benchmarking analysis for three risk assessment models: RESRAD, MMSOILS, and MEPAS. , 1997, Risk analysis : an official publication of the Society for Risk Analysis.

[6]  M. D. McKay,et al.  A comparison of three methods for selecting values of input variables in the analysis of output from a computer code , 2000 .

[7]  C. Yu,et al.  Application of the RESRAD computer code to VAMP scenario S , 1997 .

[8]  David J. LePoire,et al.  RESRAD-BUILD: A computer model for analyzing the radiological doses resulting from the remediation and occupancy of buildings contaminated with radioactive material , 1994 .

[9]  Scott Ferson,et al.  What Monte Carlo methods cannot do , 1996 .

[10]  J. Horyna,et al.  Long-term contaminant migration and impacts from uranium mill tailings , 1998 .

[11]  Ronald L. Iman,et al.  A FORTRAN-77 PROGRAM AND USER'S GUIDE FOR THE GENERATION OF LATIN HYPERCUBE AND RANDOM SAMPLES FOR USE WITH COMPUTER MODELS , 1984 .

[12]  C. Yu,et al.  Analysis of BIOMOVS II Uranium Mill Tailings scenario 1.07 with the RESRAD computer code , 1997 .

[13]  J. R. Cook,et al.  Benchmarking of computer codes and approaches for modeling exposure scenarios , 1994 .

[14]  S. Kamboj,et al.  DEVELOPMENT OF PROBABILISTIC RESRAD 6.0 AND RESRAD-BUILD 3.0 COMPUTER CODES , 2000 .

[15]  E. R. Faillace,et al.  RESRAD benchmarking against six radiation exposure pathway models , 1994 .

[16]  David J. LePoire,et al.  User's manual for RESRAD version 6. , 2001 .

[17]  J. C. Helton,et al.  A COMPARISON OF UNCERTAINTY AND SENSITIVITY ANALYSIS TECHNIQUES FOR COMPUTER MODELS , 1985 .