Stochastic Parameter Development for PORFLOW Simulations of the Hanford AX Tank Farm

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Parameters have been identified that can be modeled stochastically using PORFLOW and Latin Hypercube Sampling (LHS). These parameters include hydrologic and transport properties in the vadose and saturated zones, as well as source-term parameters and infiltration rates. A number of resources were used to define the parameter distributions, primarily those provided in the Retrieval Performance Evaluation Report (Jacobs, 1998). A linear rank regression was performed on the vadose-zone hydrologic parameters given in Khaleel and Freeman (1995) to determine if correlations existed between pairs of parameters. No strong correlations were found among the vadose-zone hydrologic parameters, and it was recommended that ... continued below

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Medium: P; Size: 69 pages

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Ho, C.K.; Baca, R.G.; Conrad, S.H.; Smith, G.A.; Shyr, L. & Wheeler, T.A. January 1, 1999.

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM, and Livermore, CA (United States)
    Place of Publication: Albuquerque, New Mexico

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Description

Parameters have been identified that can be modeled stochastically using PORFLOW and Latin Hypercube Sampling (LHS). These parameters include hydrologic and transport properties in the vadose and saturated zones, as well as source-term parameters and infiltration rates. A number of resources were used to define the parameter distributions, primarily those provided in the Retrieval Performance Evaluation Report (Jacobs, 1998). A linear rank regression was performed on the vadose-zone hydrologic parameters given in Khaleel and Freeman (1995) to determine if correlations existed between pairs of parameters. No strong correlations were found among the vadose-zone hydrologic parameters, and it was recommended that these parameters be sampled independently until future data or analyses reveal a strong correlation or functional relationship between parameters. Other distributions for source-term parameters, infiltration rates, and saturated-zone parameters that are required to stochastically analyze the performance of the AX Tank Farm using LHS/PORFLOW were adapted from distributions and values reported in Jacobs (1998) and other literature sources. Discussions pertaining to the geologic conceptualization, vadose-zone modeling, and saturated-zone modeling of the AX Tank Farm are also presented.

Physical Description

Medium: P; Size: 69 pages

Notes

INIS; OSTI as DE00002759

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  • Other Information: PBD: 1 Jan 1999

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  • Report No.: SAND98-2880
  • Grant Number: AC04-94AL85000
  • DOI: 10.2172/2759 | External Link
  • Office of Scientific & Technical Information Report Number: 2759
  • Archival Resource Key: ark:/67531/metadc669471

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  • January 1, 1999

Added to The UNT Digital Library

  • June 29, 2015, 9:42 p.m.

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  • April 11, 2016, 8:44 p.m.

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Ho, C.K.; Baca, R.G.; Conrad, S.H.; Smith, G.A.; Shyr, L. & Wheeler, T.A. Stochastic Parameter Development for PORFLOW Simulations of the Hanford AX Tank Farm, report, January 1, 1999; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc669471/: accessed December 15, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.