Dual‐permeability modeling of preferential flow and snowmelt partitioning in frozen soils Article Swipe
Aaron A. Mohammed
,
Edwin E. Cey
,
Masaki Hayashi
,
Michael V. Callaghan
,
Youngjin Park
,
Killian Miller
,
Steven K. Frey
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1002/vzj2.20101
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1002/vzj2.20101
The infiltrability of frozen soils modulates the partitioning of snowmelt between infiltration and runoff in cold regions. Preferential flow in macropores may enhance infiltration, but flow dynamics in frozen soil are complicated by soil heat transfer processes. We developed a dual‐permeability model that considers the interacting effects of freeze–thaw and preferential flow on infiltration and runoff generation in structured soils. This formulation was incorporated into the fully integrated groundwater–surface water model HydroGeoSphere, to represent water–ice phase change in macropores such that porewater freezing is governed by macropore–matrix heat exchange. Model performance was evaluated against laboratory experiments and synthetic test cases designed to examine the effects of preferential flow on snowmelt partitioning between infiltration, runoff, and drainage. Simulations were able to reproduce experimental observations of rapid infiltration and drainage behavior due to macropores very well, and approximated soil thaw to an acceptable degree. Simulation of measured data highlighted the importance of macropore hydraulic conductivity, as well as macropore–matrix heat and water transfer, on controlling preferential flow dynamics. Test cases replicated a range of snowmelt partitioning behavior commonly observed in frozen soils, including subsurface conditions that produce rapid infiltration and deeper drainage, the contrast between limited vs. unlimited infiltration responses to snowmelt, and the temporal evolution of runoff generation. This study demonstrates the important influence that water freezing along preferential flowpaths can have on infiltrability and runoff characteristics in frozen soils and provides a physically based description of this mechanism that links infiltration behavior to hydraulic and thermal properties of structured soils.
Related Topics
Concepts
Macropore
Infiltration (HVAC)
Snowmelt
Surface runoff
Soil water
Drainage
Soil science
Water flow
Hydraulic conductivity
Environmental science
Hydrology (agriculture)
Geology
Chemistry
Geotechnical engineering
Materials science
Biochemistry
Biology
Mesoporous material
Composite material
Ecology
Catalysis
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/vzj2.20101
- OA Status
- gold
- Cited By
- 25
- References
- 72
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3130645596
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3130645596Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/vzj2.20101Digital Object Identifier
- Title
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Dual‐permeability modeling of preferential flow and snowmelt partitioning in frozen soilsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2021Year of publication
- Publication date
-
2021-02-11Full publication date if available
- Authors
-
Aaron A. Mohammed, Edwin E. Cey, Masaki Hayashi, Michael V. Callaghan, Youngjin Park, Killian Miller, Steven K. FreyList of authors in order
- Landing page
-
https://doi.org/10.1002/vzj2.20101Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1002/vzj2.20101Direct OA link when available
- Concepts
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Macropore, Infiltration (HVAC), Snowmelt, Surface runoff, Soil water, Drainage, Soil science, Water flow, Hydraulic conductivity, Environmental science, Hydrology (agriculture), Geology, Chemistry, Geotechnical engineering, Materials science, Biochemistry, Biology, Mesoporous material, Composite material, Ecology, CatalysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
25Total citation count in OpenAlex
- Citations by year (recent)
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2025: 6, 2024: 3, 2023: 5, 2022: 4, 2021: 7Per-year citation counts (last 5 years)
- References (count)
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72Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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