Supervised Intelligent Committee Machine Method for Hydraulic Conductivity Estimation

Estimation of Hydraulic Conductivity without Computing Fluxes

Field estimates of the hydraulic conductivity (K) have large variances resulting from interpolating and differencing errors, in addition to instrumental and other errors in the observed water contents (8) and pressure heads (h). The resulting total error can easily be larger than the estimated value of K, thus producing poor results when analytical functions are fitted to the data. In contrast ...

Hydraulic conductivity measurment for subsurface drainage system

A method for measuring hydraulic conductivity and embolism in xylem

Hydraulic conductivity of the xylem is computed as the quotient of mass fiow rate and pressure gradient. Measurements on excised plant stems can be difficult to interpret because of timedependent reductions in fiow rate, and because of variable degrees of embolism. Using Acer saccharum Marsh, stems, we found that certain perfusing solutions including dilute fixatives (e.g. 0.05% formaldehyde) a...

A new method for high-resolution characterization of hydraulic conductivity

[1] A new probe has been developed for high-resolution characterization of hydraulic conductivity (K) in shallow unconsolidated formations. The probe was recently applied at the Macrodispersion Experiment (MADE) site in Mississippi where K was rapidly characterized at a resolution as fine as 0.015 m, which has not previously been possible. Eleven profiles were obtained with K varying up to 7 or...

Least Squares Estimation of Hydraulic Conductivity from Field Data

In this paper, we present some numerical results of the determination of ow parameters in a groundwater model. The data used in this parameter estimation is from the MADE experiments conducted on Columbus Air Force Base. Our results are based on least squares cost functional with a nite diierence scheme used to solve the ow equation.