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AOSM2022: Assessment of Groundwater Flow Significance in Hydrologic Models
Section 1: Publication
Authorship or Presenters
Xin Tong, Walter A. Illman, Young-Jin Park, David L. Rudolph, and Steven J. Berg
Assessment of Groundwater Flow Significance in Hydrologic Models
Hydrology and Terrestrial Ecosystems
poster plus 2-minute lightning talk
Xin Tong, Walter A. Illman, Young-Jin Park, David L. Rudolph, and Steven J. Berg (2022). Assessment of Groundwater Flow Significance in Hydrologic Models. Proceedings of the GWF Annual Open Science Meeting, May 16-18, 2022.
AOSM2022 Significance of Groundwater Dynamics Within Hydrologic Models
Section 2: Abstract
Plain Language Summary
Groundwater plays a vital role in the hydrologic cycle as it is the largest component of available freshwater. Therefore, diagnosing and predicting hydrologic changes and water futures in Cold Regions will have to account for groundwater. Hydrologic models play an important role in this process. There is a wide spectrum of models of varying complexities available to simulate surface water/groundwater flow and transport. The various users of such models question what level of complexities need to be considered within these different models to achieve project objectives. Currently, there are no clear guidelines or criteria to assist users in selecting appropriate hydrologic models for a specific application. Hydrological models range from lumped parameter models to spatially distributed models to discretize the watershed and represent key hydrologic processes.
The main objective of this project is to examine the significance of shallow/deep groundwater flow in both unsaturated and saturated zones on surface water flow predictions through high-resolution numerical simulations with HydroGeoSphere (HGS) (Aquanty Inc, 2021), a 3D physics-based, fully-integrated hydrologic model. The spatial and temporal variations in surface water and groundwater fluxes including its distributions are investigated using data from the well-instrumented Alder Creek Watershed (ACW) (~79 km2) within the Grand River Basin in southern Ontario. In particular, five integrated hydrologic models with an increasing level of complexity to represent the subsurface using HGS have been developed to highlight the significance of groundwater fluxes on surface water flow through: 1) a (2-D) model incorporating only overland flow data without considering the subsurface; 2) a model with a thin soil layer (1-meter deep); 3) a 7-layer model with a shallow subsurface consisting of heterogeneous and anisotropic hydraulic parameters; 4) a 10-layer model with a deeper subsurface consisting of homogeneous and uniform hydraulic parameters; and 5) a 10-layer model with detailed subsurface information on hydrostratigraphy consisting of heterogeneous and anisotropic hydraulic parameters. In addition, Raven (Craig et al., 2020) an object-oriented hydrological model based on hydrological response units (HRUs) is constructed based on individual modules corresponding to specific hydrological processes. The five HGS models and the Raven model all share the same high-resolution topography information, landcover representation, temporal precipitation records, and evapotranspiration data.
Forward simulation results of a three-year hydrological cycle with the HGS and Raven models are qualitatively and quantitatively compared. Results reveal that models that treat the subsurface more accurately lead to improved predictions of surface water distribution and hydrographs.
Section 3: Miscellany
University of Waterloo
First Author: Xin Tong PhD student (University of Waterloo)
Additional Authors: Walter A. Illman1, Young-Jin Park, David L. Rudolph (University of Waterloo), and Steven J. Berg (University of Waterloo; Aquanty Inc.)
Section 4: Download
T-2022-04-24-N1BU7ucTVPku7MCtk4ZrXAw Conference Publication 1.0