Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-29T13:54:54.148Z Has data issue: false hasContentIssue false

RESRAD-OFFSITE – A new member of the RESRAD family of codes

Published online by Cambridge University Press:  06 June 2009

C. Yu
Affiliation:
Argonne National Laboratory, Bldg. 900, 9700 South Cass Avenue, IL 60439 Argonne, USA
E. Gnanapragasam
Affiliation:
Argonne National Laboratory, Bldg. 900, 9700 South Cass Avenue, IL 60439 Argonne, USA
B. Biwer
Affiliation:
Argonne National Laboratory, Bldg. 900, 9700 South Cass Avenue, IL 60439 Argonne, USA
J.-J. Cheng
Affiliation:
Argonne National Laboratory, Bldg. 900, 9700 South Cass Avenue, IL 60439 Argonne, USA
S. Kamboj
Affiliation:
Argonne National Laboratory, Bldg. 900, 9700 South Cass Avenue, IL 60439 Argonne, USA
T. Klett
Affiliation:
Argonne National Laboratory, Bldg. 900, 9700 South Cass Avenue, IL 60439 Argonne, USA
A. Zielen
Affiliation:
Argonne National Laboratory, Bldg. 900, 9700 South Cass Avenue, IL 60439 Argonne, USA
W. A. Williams
Affiliation:
U.S. Department of Energy, Washington, DC, USA
S. Domotor
Affiliation:
U.S. Department of Energy, Washington, DC, USA
A. Wallo
Affiliation:
U.S. Department of Energy, Washington, DC, USA
Get access

Abstract

The RESRAD-OFFSITE code provides expanded state-of-the art, cost-effective, and user-friendly methods for evaluating the radiological consequences to a receptor located onsite or outside the area of primary contamination. It calculates radiological dose and excess lifetime cancer risk with the predicted radionuclide concentrations in the environment, and derives soil cleanup guidelines corresponding to a specified dose limit. The RESRAD-OFFSITE code is an extension of the RESRAD (onsite) code, which has been widely used for calculating doses and risks from exposure to radioactively contaminated soils. The development of RESRAD-OFFSITE started more than 10 years ago, but new models and methodologies have been developed, tested, and incorporated since then. Some of the new models have been benchmarked against other independently developed (international) models. The databases used have also expanded to include all the radionuclides (more than 830) contained in the International Commission on Radiological Protection (ICRP) 38 database. Detailed information on the design and application of the RESRAD-OFFSITE code is presented in its recently published User's Manual.

Type
Research Article
Copyright
© EDP Sciences, 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

C. Yu, E. Gnanapragasam, B.M. Biwer, S. Kamboj, J.-J. Cheng, T. Klett, D. LePoire, A.J. Zielen, S.Y.~Chen, W.A.~Williams, A. Wallo, S. Domotor, T. Mo and A. Schwatzman, User's Manual for RESRAD-OFFSITE Version 2, ANL/EVS/TM/07-1, DOE/HS-0005, NUREG/CR-6937 (Argonne National Laboratory, Argonne, Illinois, 2007).
C. Yu, A.J. Zielen, J.-J. Cheng, D.J. LePoire, E. Gnanapragasam, S. Kamboj, J. Arnish, A. Wallo III, W.A.~Williams and H.~Peterson, User's Manual for RESRAD Version 6, ANL/EAD-4 (Argonne National Laboratory, Argonne, Illinois, 2001).
E. Gnanapragasam and C. Yu, 1997, Analysis of BIOMOVS II Uranium Mill Tailings Scenario 1.07 with the RESRAD Computer Code, ANL/EAD/TM-66 (Argonne National Laboratory, Argonne, Illinois, 1997).
BIOMOVS (Biosphere Model Validation Study) II, Long-Term Contaminant Migration and Impacts from Uranium Mill Tailings–-Comparison of Computer Models Using a Hypothetical Dataset, BIOMOVS~II Technical Report No. 4, Biosphere Model Validation Study Steering Committee (Swedish Radiation Protection Institute, Stockholm, Sweden, 1995).
BIOMOVS II, Long-Term Contaminant Migration and Impacts from Uranium Mill Tailings–-Comparison of Computer Models Using a Realistic Dataset, BIOMOVS II Technical Report No.~5, Biosphere Model Validation Study Steering Committee (Swedish Radiation Protection Institute, Stockholm, Sweden, 1996).
E.K. Gnanapragasam, C. Yu, G. Whelan, W.B. Mills, J.P. McDonald, C.S. Lew, C.Y. Hung and D.~Hoffmeyer, “Comparison of Multimedia Model Predictions for a Contaminant Plume Migration Scenario,” J.~Contaminant Hydrology 46 (2000) 17–38.
J.J. Cheng, J.G. Droppo, E.R. Faillace, E.K. Gnanapragasam, R. Johns, G. Laniak, C. Lew, W.~Mills, L. Owens, D.L. Strenge, J.F. Sutherland, G. Whelan and C. Yu, Benchmarking Analysis of Three Multimedia Models: RESRAD, MMSOILS, and MEPAS, DOE?ORO-2033 (Oak Ridge National Laboratory, Oak Ridge, Tennessee, 1995).
Halliburton NUS Corporation, Verification of RESRAD, A Code for Implementing Residual Radioactive, Material Guidelines, Version 5.03, HNUS-ARPD-94-174 (Gaithersburg, Maryland, 1994).
W.B. Mills, J.J. Cheng, J.G. Droppo Jr., E.R. Faillace, E.K. Gnanapragasam, R.A. Johns, G.F.~Laniak, C.S. Lew, D.L.~Strenge, J.F. Sutherland, G. Whelan and C. Yu, “Multimedia benchmarking analysis for three risk assessment models: RESRAD, MMSOILS, MEPAS, Risk Analysis, 17 (1997) 187–201. CrossRef
G. Whelan, J.P. McDonald, E.K. Gnanapragasam, G.F. Laniak, C.S. Lew, W.B. Mills and C. Yu, “Benchmarking of the saturated-zone module associated with three risk assessment models: RESRAD, MMSOILS, MEPAS,” Environmental Engineering and Science 16 (1999a) 67–80.
G. Whelan, J.P. McDonald, E.K. Gnanapragasam, G.F. Laniak, C.S. Lew, W.B. Mills and C. Yu, “Benchmarking of the vadose-zone module associated with three risk assessment models: RESRAD, MMSOILS, MEPAS,” Environmental Engineering and Science 16 (1999b) 81–92.
C. Yu, D. LePoire, E. Gnanapragasam, J. Arnish, S. Kamboj, B.M. Biwer, J.-J. Cheng, A. Zielen and S.Y.~Chen, Development of Probabilistic RESRAD 6.0 and RESRAD-BUILD 3.0 Computer Codes, NUREG/CR-6697, ANL/EAD/TM-98 (Argonne National Laboratory, Argonne, Illinois, 2000).
C. Yu, D.J. LePoire, J.-J. Cheng, E. Gnanapragasam, S. Kamboj, J. Arnish, B.M. Biwer, A.J.~Zielen, W.A.~Williams, A.~Wallo III and H.T. Peterson, Jr., User's Manual for RESRAD-BUILD Version 3, ANL/EAD/03-1 (Argonne National Laboratory, Argonne, Illinois, 2003).
C. Yu, E. Gnanapragasam, J.-J. Cheng and B. Biwer, Benchmarking of RESRAD-OFFSITE: Transition from RESRAD (onsite) to RESRAD-OFFSITE and Comparison of RESRAD-OFFSITE Predictions with Peer Codes, ANL/EVS/TM/06-03, DOE/EH-0708 (Argonne National Laboratory, Argonne, Illinois, 2006).