Where and When to Collect Tracer Data to Diagnose Hillslope Permeability Architecture

• Published in: Water resources research 2021-08, Vol.57 (8), p.n/a
• Main Authors: Ameli, Ali A., Laudon, Hjalmar, Teutschbein, Claudia, Bishop, Kevin
• Format: Article
• Language: English
• Subjects: Architecture; conservative tracer; Data; equifinality; Evaluation; Flow paths; Geochemistry; Groundwater table; Hydraulic conductivity; Hydrogeochemistry; hydrologic flow path; Hydrologic models; Hydrology; Oceanografi, hydrologi, vattenresurser; Oceanography, Hydrology, Water Resources; Permeability; residence time; Rivers; Soil permeability; Soil surfaces; Stream discharge; Stream flow; subsurface permeability architecture; Tracers; transit time; Transport; Water quality; Water table
• ISSN: 0043-1397; 1944-7973; 1944-7973
• DOI: 10.1029/2020WR028719

The permeability architecture has a major influence on hillslope flow path and hydrogeochemistry. To constrain this architecture and overcome equifinality in the diagnosis of hillslope flow paths within hydrologic transport models, different types of complementary data (e.g., tracer) have been recommended. However, there is still little information on the extent to which such complementary data can unravel the permeability architecture, and where and when to measure such data to most efficiently constrain models. Here, we couple a Richards‐based flow and transport model with extensive long‐term field measurements to compare the relative value of different types of hydrometric and tracer data in discriminating between contrasting permeability (or saturated hydraulic conductivity (Ks)) architectures, in the absence of macropore flow. Our results show that compared to streamflow and water table observations, stream tracer data have a stronger evaluative potential to constrain hillslope vertical pattern in Ks, in particular during seasons when flow is on average low (e.g., winter or summer). Tracer data from within the hillslope are even more helpful to discriminate between different vertical patterns in Ks than stream tracer data. This suggests a higher evaluative potential for hillslope tracer observations. This evaluative potential of hillslope data depends on where and when the data are collected, and increases with depth from the soil surface, with distance from the stream and during seasons when flow is low. The findings also emphasize the importance of incorporating hillslope permeability architecture in hydrologic transport models in order to reduce the uncertainty in the predictions of stream water quality. Key Points Hillslope tracer data have a stronger evaluative potential than stream tracer data to diagnose hillslope's permeability architecture The evaluative potential of hillslope tracer data increases with depth from the soil surface and distance from stream Stream tracer data diagnose hillslope's permeability architecture more strongly than hydrometric data, particularly during dry periods