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Modeling liquid water flow in snow .
~
Daanen, Ronald Paul.
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Modeling liquid water flow in snow .
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Modeling liquid water flow in snow ./
作者:
Daanen, Ronald Paul.
面頁冊數:
155 p.
附註:
Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0624.
Contained By:
Dissertation Abstracts International65-02B.
標題:
Hydrology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3121831
ISBN:
0496691828
Modeling liquid water flow in snow .
Daanen, Ronald Paul.
Modeling liquid water flow in snow .
- 155 p.
Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0624.
Thesis (Ph.D.)--University of Minnesota, 2004.
Liquid water flow in snow is important in the prediction of flooding and contaminant release from snow. Existing models for liquid water flow prediction in snow do not include metamorphic changes during the melting process. Metamorphic changes in snow affect heterogeneity in the ice content and the average snow grain size.
ISBN: 0496691828Subjects--Topical Terms:
545716
Hydrology.
Modeling liquid water flow in snow .
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Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0624.
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Adviser: John Little Nieber.
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Thesis (Ph.D.)--University of Minnesota, 2004.
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Liquid water flow in snow is important in the prediction of flooding and contaminant release from snow. Existing models for liquid water flow prediction in snow do not include metamorphic changes during the melting process. Metamorphic changes in snow affect heterogeneity in the ice content and the average snow grain size.
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A physically-based model was constructed which simulates: (1) the mass, energy and solute balance (2) the liquid water, vapor, heat and solute flow, (3) a rigid connection between temperature and liquid water pressure through the Clausius Clapeyron equation and (4) metamorphic changes in the snow during snow melt. Three important variables resulting from metamorphic changes in the snow are: (1) changing porosity; (2) changing water retention curve and (3) changing hydraulic conductivity curve. The porosity is made dependent on the ice content and the water retention- and hydraulic conductivity curves are made dependent on the average grain size.
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The model was tested for its internal sensitivity using a self-similar test and tests of consistency when modeling at a variety of node distances, time step sizes, and residual error sizes. The model was used to test the hypothesis: "Temporal Variations in the boundary conditions and spatial heterogeneities in the initial conditions of a snow pack can create heterogeneity in ice and liquid water content during a snow melt event."
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It was found that the model can simulate liquid water flow in heterogeneous snow. The distribution of water in the snow is strongly affected by heterogeneities in the ice content and changes in the average snow grain size during the melt process. The formation of significant ice heterogeneities is not likely to happen during snowmelt in a Minnesota climate, but it can technically occur in an Arctic climate, although the likelihood is very small.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3121831
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