Stochastic analysis of contaminant transport
per
Cawlfield, J.D.
DOE; USDOE, Washington, DC (United States)
org
United States. Department of Energy.
United States
Missouri Univ., Rolla, MO (United States). Dept. of Geological and Petroleum Engineering
1992-02-01
eng
A reliability algorithm is used to develop probabilistic (stochastic) models or contaminant transport in porous media. The models are based on advective-dispersive transport equations, and utilize the reliability algorithm with existing one- and two-dimensional analytical and numerical solutions. Uncertain variables in the models include: groundwater flow velocity (or permeability in the numerical model), dispersivity, diffusion coefficient, bulk density, porosity, and solute distribution coefficient. Each uncertain variable is assigned a mean, covariance, and marginal distribution. The models yield an estimate of the probability that the contaminant concentration will equal or exceed a target concentration at a selected location and time. The models also yield probabilistic sensitivity measures which identify those uncertain variables with most influence on the probabilistic outcome. The objective of this study is to examine the basic behavior and develop general conclusions regarding transport under certain conditions as modeled using a reliability approach.
Pages: (9 p)
Porous Materials
Mathematical Models
Document Types
Dispersions
Contamination
Ground Water
58 Geosciences
Materials
Soil-Structure Interactions
Physical Properties
Velocity
Flow Models
Mass Transfer
990200 -- Mathematics & Computers
Progress Report
540220 -- Environment, Terrestrial-- Chemicals Monitoring & Transport-- (1990-)
Bulk Density
Permeability
Environmental Transport
Oxygen Compounds
Water 540320* -- Environment, Aquatic-- Chemicals Monitoring & Transport-- (1990-)
99 General And Miscellaneous//Mathematics, Computing, And Information Science
Density
Fluid Flow
Hydrogen Compounds
Porosity
580000 -- Geosciences
54 Environmental Sciences
Probabilistic Estimation
OSTI
UNTGD
text_report
text
DE92009610
DOE/ER/60828-2
FG02-89ER60828
10.2172/5827751
5827751
OSTI; NTIS; GPO Dep.
mphillips
DC
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2018-02-18, 15:59:10
htarver
2018-02-26, 18:54:27
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