Predicting micro-catchment infiltration dynamics
•Field experiments simulated rainstorms to measure micro-catchment (MC) infiltration.•Numerical model represents unsteady ponded infiltration into complex structure.•Maximum conductivity measurements provided unbiased infiltration prediction.•Preferential flow processes and observational scale expla...
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| Published in: | Catena (Giessen) Vol. 190; p. 104524 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01-07-2020
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| Online Access: | Get full text |
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| Summary: | •Field experiments simulated rainstorms to measure micro-catchment (MC) infiltration.•Numerical model represents unsteady ponded infiltration into complex structure.•Maximum conductivity measurements provided unbiased infiltration prediction.•Preferential flow processes and observational scale explained variability in results.•The modeling process is useful to design MC configuration for hillslope restoration.
Rainfall and concentrated flow experiments were carried out on seven micro-catchments (MCs) that were designed to limit soil erosion and allow for water-harvesting. Prediction of infiltration rates within MCs is necessary to design effective hillslope-scale restoration projects. Continuous stage measurements and 3-D models of MC geometry were used to calculate infiltration rates from field experiments. Soil samples and Guelph permeameter (GP) measurements were collected to parameterize a predictive infiltration model in Hydrus 2D/3D. The model result of water velocity into the soil profile was averaged by depth intervals and multiplied by the corresponding MC surface area to calculate a volumetric flow rate. Four parameterizations of changes in conductivity with depth were evaluated within the model framework to determine which would best account for spatial heterogeneity. Use of the maximum field-measured conductivity provided the least biased results, with average error between simulated and measured values across all sites of less than 1%. Model results illustrate the limitations associated with particle-size distribution or GP measurements when used to predict infiltration rates in a numerical model. GP measurements with single ponded heights allowed convenient field measurement of conductivity that worked better than predictions from soil texture. The maximum of several GP samples was more representative of MC infiltration than the mean, so a higher percentile value from a distribution of MC measurements may help to account for complex infiltration processes that are not included in numerical models. This modeling approach will allow testing of process-based hypotheses about rangeland infiltration dynamics, and the development of optimal configurations of MCs at sites being considered for rangeland restoration. |
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| ISSN: | 0341-8162 1872-6887 |
| DOI: | 10.1016/j.catena.2020.104524 |