Upscaling Hillslope‐Scale Subsurface Flow to Inform Catchment‐Scale Recession Behavior. Issue 10 (29th September 2022)

• Record Type: Journal Article
• Authors: Ranjram, M.; Craig, J. R.
• Is Part Of: Water resources research. Volume 58:Issue 10(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-09-29
• Subjects: hillslope -- upscaling -- hillslope‐storage Boussinesq -- subsurface stormflow -- recession; Hydrology -- Periodicals; 333.91
• DOI: 10.1029/2021WR031913
• Languages: English
• ISSNs: 0043-1397

Abstract

Abstract: The subsurface flow contribution to a basin hydrograph is often conceptualized as a single lumped reservoir parameterized by a power law function fit through the observed recession behavior of the basin. However, basins may be better represented as multiple independent subsurface hillslope reservoirs characterized with variable, transient recession behavior as a function of the time history of recharge. In this work, we unify the latter, more complex understanding of the subsurface with the large‐scale power law recession behavior convenient in hydrologic modeling applications. This unification is achieved by deriving upscaling relationships capable of converting simple metrics of basin hillslope topography into a signature basin response characterizing the subsurface‐flow‐induced recession from a single recharge event. Event superposition may then be used to simulate the application of a time series of recharge and a simple scaling relationship may be used to handle basins with homogeneous conductivity. The signature response is informed by numerical simulations of the hillslope‐storage Boussinesq equation for unconfined saturated flow through sloping hillslopes applied to 30 basins in the CAMELS database. The efficacy of the upscaled signature response in replicating numerical simulations in 50 CAMELS basins is demonstrated, as is the practical efficacy of the upscaling relationships for predicting transient recession in 17 of these basins. The upscaled signature response method thus provides a tool for hydrologic modelers to estimate transient recession parameters using the insights of subsurface flow modeling, although the predictions made by this method are unable to capture the full variability of observed recession behavior. Plain Language Summary: The hydrologic response of a watershed to a rainfall or snowfall event is driven, in part, by the draining of all of that watershed's constituent hillslopes. This drainage strongly influences the recession (or falling limb) of the watershed hydrograph. Within a hydrological model, it is desirable to be able to simulate the recession response of the watershed without simulating each individual hillslope. Here, we examine the response of dozens of individual (training) watersheds to develop scaling rules. These rules enable us to simulate the recession response of a watershed if we can characterize the distribution of hillslope characteristics, such as hillslope slope and length, within the watershed. This method is rigorously tested against a high‐resolution model, demonstrated to work well on watersheds not included in the training data set, and shown to be effective in reproducing the observed time‐varying recession behavior of a single watershed. Key Points: Hillslope‐scale subsurface flow is aggregated in 30 basins to explore topographic controls on catchment‐scale recession behavior Upscaling relationships are derived that can predict transient catchment‐scale recession behavior in a basin with a homogenous subsurface These relationships successfully approximate numerical solutions, but cannot capture the full extent of observed recession behavior