Soil Systems for Upscaling Saturated Hydraulic Conductivity for Hydrological Modeling in the Critical Zone

• Published in: Vadose zone journal 2018, Vol.17 (1), p.1-20
• Main Authors: Libohova, Zamir, Schoeneberger, Phil, Bowling, Laura C., Owens, Phillip R., Wysocki, Doug, Wills, Skye, Williams, Candiss O., Seybold, Cathy
• Format: Article
• Language: English
• Subjects: Calibration; Catchment area; Catchment scale; Catchments; Coastal inlets; Creeks; Depth; Distribution; Flumes; Hydraulic conductivity; Hydraulic properties; Hydraulics; Hydrologic models; Hydrology; Laboratories; Measurement methods; Morphology; Piezometers; Predictions; Saturated soils; Soil; Soil conditions; Soil conductivity; Soil depth; Soil properties; Soil sciences; Soil water movement; Stream discharge; Stream flow; Trends; Watersheds
• ISSN: 1539-1663; 1539-1663
• DOI: 10.2136/vzj2017.03.0051

Core Ideas Saturated hydraulic conductivity (Ksat) was measured with different methods. Ksat was upscaled from point to catchment to watershed scales. Upscaled Ksat predicted streamflow at a large watershed without model calibration. A soil system approach was used to successfully upscale Ksat for streamflow predictions Successful hydrological model predictions depend on appropriate framing of scale and the spatial‐temporal accuracy of input parameters describing soil hydraulic properties. Saturated soil hydraulic conductivity (Ksat) is one of the most important properties influencing water movement through soil under saturated conditions. It is also one of the most expensive to measure and is highly variable. The objectives of this research were (i) to assess the ability of Amoozemeters, wells, piezometers, and flumes to accurately represent Ksat at a small catchment scale and (ii) to extrapolate Ksat to a larger watershed based on available soil data and soil landscape models for simulating streamflow using the Distributed Hydrological Soil Vegetation Model. The mean Ksat between Amoozemeters, wells, and flumes varied from 2.4 to 4.9 × 10−7 m s−1, and differences were not significant. Mixed trends in mean Ksat for slope positions and soil series were observed. The strongest significant and consistent trend in mean Ksat was observed for soil depth. The mean Ksat decreased exponentially with depth, from 6.51 × 106 m s−1 for upper horizons to 2.37 × 10−7 m s−1 for bottom horizons. Recognizing the significantly decreasing trend of Ksat with soil depth and the lack of consistent trends between soils and slope positions for small catchments, Ksat values were extrapolated from the small catchments occurring in Dillon Creek to another large watershed (Hall Creek) based on soil similarity and distribution. The Nash–Sutcliffe model overall efficiency of 0.52 indicated a good performance in simulating streamflows without model calibration. Combining Ksat measurement methods in small catchments with an understanding of soil landscapes and soil distribution relationships allowed successful upscaling of localized soil hydraulic properties for streamflow predictions to larger watersheds.