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Stochastic analysis of groundwater traveltime for long-term repository performance assessment

Conference ·
OSTI ID:5280709
; ;

This paper describes a method of stochastically analyzing groundwater traveltime. The method uses a Monte Carlo technique to generate a suite of random spatial fields that are subsequently input to the groundwater flow and groundwater traveltime equations. Stochastic inputs to these equations can be (1) transmissivity (or hydraulic conductivity), (2) effective thickness (or effective porosity), or (3) boundary conditions. In a transient problem, storage coefficient (or specific storage) could also be stochastically treated. Spatial correlation in the random input fields is accounted for by means of a multivariate random-number generator, which requires the first two statistical moments of these fields to be specified. The output from the Monte Carlo analysis is a suite of groundwater traveltime realizations that can be used to derive exceedance probabilities. These probabilities provide a measure of the degree of confidence in meeting set criteria. A preliminary application of this method using data from the deep basalts beneath the Hanford Site is also presented. The results illustrate how this method can be used to evaluate compliance with a technical criterion relating to groundwater traveltime. 16 refs., 2 figs.

Research Organization:
Rockwell International Corp., Richland, WA (USA). Rockwell Hanford Operations
Sponsoring Organization:
DOE/RW
DOE Contract Number:
AC06-77RL01030
OSTI ID:
5280709
Report Number(s):
RHO-BW-SA-323; CONF-831174--89; ON: TI90004205
Country of Publication:
United States
Language:
English

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Related Subjects

052002* -- Nuclear Fuels-- Waste Disposal & Storage
053000 -- Nuclear Fuels-- Environmental Aspects
11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS
12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES
BASALT
FLOW RATE
GROUND WATER
HANFORD RESERVATION
HIGH-LEVEL RADIOACTIVE WASTES
HYDROGEN COMPOUNDS
IGNEOUS ROCKS
MANAGEMENT
MATERIALS
MATHEMATICAL MODELS
MONTE CARLO METHOD
NATIONAL ORGANIZATIONS
OXYGEN COMPOUNDS
RADIOACTIVE MATERIALS
RADIOACTIVE WASTE MANAGEMENT
RADIOACTIVE WASTES
ROCKS
UNDERGROUND DISPOSAL
US DOE
US ERDA
US ORGANIZATIONS
VOLCANIC ROCKS
WASTE DISPOSAL
WASTE MANAGEMENT
WASTES
WATER