1999
DOI: 10.1029/1998wr900110
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Estimating hysteresis in the soil water retention function from cone permeameter experiments

Abstract: Abstract. Data obtained from modified cone penetrometer experiments were used to estimate the hysteretic soil hydraulic properties with a parameter estimation technique which combined a numerical solution of the Richards equation with Marquardt-Levenberg optimization. The modified cone penetrometer was_designed to inject water into a soil through a cylindrical screen, measure the infiltration rate with time, and track the movement of the wetting front using two tensiometer rings positioned above the screen. Af… Show more

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Cited by 67 publications
(35 citation statements)
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“…Including q s and other soil hydraulic parameters in the optimization could well have improved the model predictions. However, as indicated earlier, we felt it is important to limit as much as possible the number of unknown parameters in view of the limited amount of measured data and the relatively high sensitivity of the parameter estimation technique to the number of unknowns (Simunek et al, 1999b). Only K s was included in the optimization procedure since we did not have direct field measurements of this parameter.…”
Section: Resultsmentioning
confidence: 99%
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“…Including q s and other soil hydraulic parameters in the optimization could well have improved the model predictions. However, as indicated earlier, we felt it is important to limit as much as possible the number of unknown parameters in view of the limited amount of measured data and the relatively high sensitivity of the parameter estimation technique to the number of unknowns (Simunek et al, 1999b). Only K s was included in the optimization procedure since we did not have direct field measurements of this parameter.…”
Section: Resultsmentioning
confidence: 99%
“…6 and 7) using the Levenberg-Marquardt optimization procedure (Marquardt, 1963). In the inverse procedure, the unknown parameters are optimized by minimizing the objective function F(q,b) defined as (Simunek et al, 1999b): …”
Section: Inverse Optimizationmentioning
confidence: 99%
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“…However, there is little research into the effects of repeated seasonal cycles on the resistivity response of volume-sensitive clay soils. Hysteresis in near-surface soils is well established in the soil water retention curve [20,22,49] whereby at a given water content a decrease in soil suction is observed between the drying and the wetting paths, due to entrapped air. Associated decreases in soil strength may then be a function of both this suction loss and soil fabric changes incurred by desiccation cracking.…”
Section: Introductionmentioning
confidence: 99%
“…However, there is little research into the effects of repeated seasonal cycles on the resistivity response of volume-sensitive clay soils. Hysteresis in near-surface soils is well-established in the soil water retention curve [35,36,37] whereby at a given water content a decrease in soil suction is observed between the drying and the wetting paths, due to entrapped air. If ERT is to fulfil its potential in geotechnical monitoring then it is necessary to understand how soil suction and resistivity interact when subjected to seasonally varying water content, in order to be able to interpret geophysical information gathered from electrical resistivity tomography arrays.…”
Section: Electrical Resistivity Tomographymentioning
confidence: 99%