Computer Programs
NESC9844 FFSM.
last modified: 22-NOV-1988 | catalog | categories | new | search |

NESC9844 FFSM.

FFSM, Long-Term Nuclear Waste Repository Site Simulation by Monte-Carlo

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1. NAME OR DESIGNATION OF PROGRAM:  FFSM.
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2. COMPUTERS

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Program name Package id Status Status date
FFSM NESC9844/01 Tested 22-NOV-1988

Machines used:

Package ID Orig. computer Test computer
NESC9844/01 CDC CYBER 176 CDC CYBER 830
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3. DESCRIPTION OF PROGRAM OR FUNCTION

FFSM (Far Field State Model) predicts the approximate geologic and climatic state of a site for a nuclear waste repository over relatively long periods of time. The purpose of FFSM is to represent quantitatively certain events and processes that could alter the effectiveness of one or more natural  barriers in a waste isolation system. The barriers treated by the model are primarily components of the geologic environment surrounding the repository, although biosphere components (e.g. climate parameters) that could affect the impact of radionuclide releases are also considered. These components are treated outside the realm of wastes or repository-induced effects, which is indicated by use of the term "far field". The model treats both natural and man-induced changes in these barriers within a probabilistic framework, and it accounts for cumulative and interactive effects of multiple phenomena.
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4. METHOD OF SOLUTION

Fifteen submodels are included in FFSM to account for phenomena that may be of importance individually or in combination in evaluating sites for repositories. These submodels include: undetected features, climate, worldwide glaciation, local glaciation, folding, salt dispersion, magmatic events, faulting, biosphere state, regional deformation, geomorphic processes, dissolution fronts, localized dissolution (breccia pipes), solution  mining, and drilling. FFSM can be used in both a deterministic mode, to evaluate interactions or to calculate point values, and a probabilistic mode, to make statistical estimates of future changes. In the probabilistic mode, Monte Carlo simulation is used to generate output probabilities, based on user-supplied input, largely in the form of probability density functions for variable or uncertain parameters.
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5. RESTRICTIONS ON THE COMPLEXITY OF THE PROBLEM:
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6. TYPICAL RUNNING TIME:
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7. UNUSUAL FEATURES OF THE PROGRAM:
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8. RELATED AND AUXILIARY PROGRAMS

FFSM is based on a simulation methodology used previously in the GSM program (NESC Summary R9845).
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9. STATUS
Package ID Status date Status
NESC9844/01 22-NOV-1988 Tested at NEADB
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10. REFERENCES:
NESC9844/01, included references:
- INTERA Environmental Consultants Inc. :
  FFSM: Far-Field State Model
  ONWI-436 (April 1983)
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11. MACHINE REQUIREMENTS:  38K words of SCM and 152K words of LCM.
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12. PROGRAMMING LANGUAGE(S) USED
Package ID Computer language
NESC9844/01 FORTRAN-IV
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13. OPERATING SYSTEM UNDER WHICH PROGRAM IS EXECUTED:
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14. OTHER PROGRAMMING OR OPERATING INFORMATION OR RESTRICTIONS:
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15. NAME AND ESTABLISHMENT OF AUTHORS

          L.R. Hadlock, D.I. Hellstrom, and
          M.J.B. Mikulis, A.D. Little
          INTERA Environmental Consultants Inc.

          M.J. Golis
          Office of Nuclear Waste Isolation
          Battelle Project Management Division
          505 King Avenue, Columbus, Ohio 43201
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16. MATERIAL AVAILABLE
NESC9844/01
File name File description Records
NESC9844_01.001 Information file 49
NESC9844_01.002 JCL and control information 20
NESC9844_01.003 FFSM FORTRAN source 6276
NESC9844_01.004 Sample problem 1, simulation control input 189
NESC9844_01.005 Sample problem 1, site definition input 447
NESC9844_01.006 Sample problem 2, simulation control input 201
NESC9844_01.007 Sample problem 2, site definition input 447
NESC9844_01.008 Sample problem 3, simulation control input 201
NESC9844_01.009 Sample problem 3, site definition input 527
NESC9844_01.010 FFERR message library 121
NESC9844_01.011 Sample problem 1 output 3821
NESC9844_01.012 Sample problem 2 output 4097
NESC9844_01.013 Sample problem 3 output 4163
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17. CATEGORIES
  • R. Environmental and Earth Sciences

Keywords: Monte Carlo method, geologic strata, radioactive waste storage, salt deposits, site selection.