Regression models for hydraulic conductivity and field test of borehole permeameter
- New Mexico Institute of Mining and Technology
- ORNL
The saturated hydraulic conductivity K{sub s} of sediments in the vadose zone is an important parameter in predicting the seepage rates of water and contaminants. The borehole permeameter is an in situ technique to test a relatively large sample size at any depth. Solutions are presented which account for the effects of unsaturated flow. These solutions are derived from a regression analysis of results of numerical simulations in which unsaturated hydraulic conductivity is represented by one or two parameters. The results of a borehole permeameter test in a uniform sand are compared with field ponding tests and air entry permeameter tests. The regression-based solutions for the borehole permeameter which account for capillarity provide very good agreement with other permeameter results. Depending upon the approach used to solve the borehole problem K{sub s} values determined by methods which neglected and included capillary effects varied by a factor of only about two for the soil tested.
- Research Organization:
- Oak Ridge National Laboratory (ORNL)
- Sponsoring Organization:
- SC USDOE - Office of Science (SC)
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 986470
- Journal Information:
- Water Resources Research, Journal Name: Water Resources Research Journal Issue: 12 Vol. 23; ISSN 0043-1397
- Country of Publication:
- United States
- Language:
- English
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