Accession Number:

ADP007114

Title:

Mixing Parameter Regression Applied to Groundwater Contaminant Flow,

Descriptive Note:

Corporate Author:

FAILURE ANALYSIS ASSOCIATES PALO ALTO CA

Personal Author(s):

• Ray, Rose
• Tarter, Michael E.
• Lock, Michael D.

Report Date:

1992-01-01

Pagination or Media Count:

8.0

Abstract:

A new form of regression is applied to the problem of modeling the flow of water and contaminants through soil. In a fashion analogous to nested ANOVA, the new method parametrizes global distributional structure separately from local structure. A blind study is conducted to assess the precision of mixing parameter estimation as a function of depth. It is shown that accurate estimates of the regression relationship can be obtained from a sample of size n1000 for mixing parameters and all other component parameters, with the exception of the standard deviation of small components which have large variances. It is shown that the hydraulic conductivity, transport, or infiltration of water borne contaminants through the vadose zone can be effectively modeled and simulated by the mixing parameter regression methods.

Descriptors:

• *GROUND WATER
• CONTAMINANTS
• DEPTH
• ESTIMATES
• FLOW
• FUNCTIONS
• GLOBAL
• MIXING
• PARAMETERS
• PRECISION
• SOILS
• STRUCTURES
• WATER
• WATER FLOW
• CONTAMINATION

Subject Categories:

• Water Pollution and Control

Distribution Statement:

APPROVED FOR PUBLIC RELEASE