A quick fix for modeling infiltration in water-repellent soils
- 1School of Plant and Environmental Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, United State
- 2University of California, Davis, Land, Air and Water Resources, Davis, United States of America (mabounajm@ucdavis.edu)
- 3Department of Agricultural Sciences, University of Sassari, Viale Italia, 39, 07100 Sassari, Italy
- 4Université de Lyon; UMR5023 Ecologie des Hydrosystèmes Naturels et Anthropisés, CNRS, ENTPE, Université Lyon 1, Vaulx-en-Velin, France
Water repellency occurs in soils under a wide spectrum of conditions. Soil water repellency can originate from the deposition of resinous materials and exudates from vegetation, vaporization and condensation of organic compounds during fires, or the presence of anthropogenic-derived chemicals like petroleum products, wastewater or other urban contaminants. Its effects on soils range from mild to severe, and it often leads to hydrophobic conditions that can significantly impact the infiltration response with effects extending to the watershed-scale. Those effects are often time-dependent, making it a challenge to simulate infiltration behaviors of water-repellent soils using standard infiltration models. Here, we introduce a single rate-constant parameter (αWR) and propose a simple correction term (1-e-αWRt) to modify models for infiltration rate. This term starts with a value of zero at the beginning of the infiltration experiment (t = 0) and asymptotically approaches 1 as time increases, thus simulating a decreasing effect of soil water repellency through time. The correction term can be added to any infiltration model (one- two- or three-dimensional) and will account for the water repellency effect. Results from 165 infiltration experiments from different ecosystems and wide range of water repellency effects validated the effectiveness of this simple method to characterize water repellency in infiltration models. Tested with the simple two-term infiltration equation developed by Philip, we obtained consistent and substantial error reductions, particularly for more repellent soils. Furthermore, results revealed that soils that were burned during a wildfire had smaller αWR values compared to unburned controls, thus indicating that the magnitude of αWR may have a physical basis.
How to cite: Stewart, R., Abou Najm, M. R., Di Prima, S., and Lassabatere, L.: A quick fix for modeling infiltration in water-repellent soils, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-3408, https://doi.org/10.5194/egusphere-egu21-3408, 2021.
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