Vadose Zone Journal (Feb 2019)

Accuracy of Saturated Soil Hydraulic Conductivity Estimated from Numerically Simulated Single-Ring Infiltrations

  • Vincenzo Bagarello,
  • Massimo Iovino,
  • Jianbin Lai

DOI
https://doi.org/10.2136/vzj2018.06.0122
Journal volume & issue
Vol. 18, no. 1

Abstract

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The single-ring pressure infiltrometer (PI) method is widely used to determine saturated soil hydraulic conductivity, , directly in the field. The original and still most common way to analyze the data makes use of the steady-state model developed by the Canadian School in the 90s and two (two-ponding-depth, TPD, approach) or more (multiple-ponding-depth, MPD, approach) depths of ponding. The so-called Wu method based on a generalized infiltration equation allows analysis of the transient infiltration data collected by establishing a single ponding depth of water on the infiltration surface. This investigation, making use of simulated infiltration runs for initially unsaturated sand to silty clay loam soils, showed that, with a run duration of practical interest (e.g., 2 h), the PI can be expected to yield more accurate estimates of in coarse-textured soils than in fine-textured soils even if the transient method is used instead of the steady-state method. Performing a three-level experiment and analyzing the estimated steady-state infiltration rates with both the TPD and MPD approaches is a way to predict the reliability of the estimated value. The accuracy should be acceptable if the two approaches yield similar results. Otherwise, the MPD approach should be expected to yield more accurate estimates than the TPD approach. The transient method does not solve the inaccuracy problems in fine-textured soils because obtaining accurate data requires that the portion of total infiltration varying linearly with time represent a high percentage of total infiltration, but this percentage is small in fine-textured soils when the run does not exceed a few hours. This investigation opens some new perspective on the use of infiltration data to make predictions on the expected reliability of the calculations with reference to both steady-state and transient data analysis procedures.