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  • HGS RESEARCH HIGHLIGHT – The Response of the HydroGeoSphere Model to Alternative Spatial Precipitation Simulation Methods

    Check out our most recent HGS research highlight here.

    This new research should help HGS users to select a suitable method for the spatial distribution/interpolation of precipitation data at different scales. The study evaluates three different methods of spatially distributing precipitation data – including Thiessen Polygons (TP), Co-Kriging (CK) and Simulated Annealing (SA) - at two different watershed scales using HydroGeoSphere.

    posted in HGS Research Highlights
  • HGS RESEARCH HIGHLIGHT – Simulating preferential flow and snowmelt partitioning in seasonally frozen hillslopes

    AUTHORS: Aaron A. Mohammed, Edwin E. Cey, Masaki Hayashi, Michael V. Callaghan

    This research highlights the ability to model pore-water freeze/thaw and how it impacts the partitioning of snowmelt into infiltration, runoff and groundwater recharge in seasonally frozen hillslopes.

    This research follows on an earlier highlight by author Aaron Mohammed about the development of a dual-permeability model which integrates the effects of soil freeze-thaw and preferential flow on infiltration and runoff generation in structured soils. This formulation was incorporated successfully into HydroGeoSphere. Read the original research highlight here.



    The infiltrability of frozen soils strongly influences snowmelt partitioning and redistribution in cold regions. Preferential flow in frozen soil can enhance infiltration, but dynamics are complicated by coupled water and heat transfer processes as well as landscape conditions prior to and during snowmelt.


    Model simulations in HydroGeoSphere, based on hydrological functioning and landscape properties of the Canadian Prairies, were used to evaluate a dual-domain (matrix and macropore) formulation of variably-saturated flow in frozen soils, with distinct water and heat transport regimes in each domain.


    Two-dimensional hillslope simulations were able to capture the landscape hydrologic response to snowmelt fluxes observed in the Prairies and similar landscapes, specifically: (1) enhanced infiltration into frozen soil due to preferential flow, (2) refreezing of infiltrated water and its effect on the evolution of runoff generation in frozen soils, and (3) groundwater recharge prior to ground thaw. Results showed that multiple meltwater input events progressively decreased frozen soil infiltrability and increased runoff generation. Simulations demonstrated that refreezing of infiltrated water along preferential flowpaths is an important process governing the timing and magnitude of both runoff generation and groundwater recharge in frozen soils, but that this behaviour can be highly counterintuitive and depends on soil structure. The modeling framework provides a physically-based approach for describing these interacting preferential flow and soil freezing processes at the hillslope scale needed to simulate the hydrologic functioning of seasonally frozen landscapes.



    posted in HGS Research Highlights