A detailed model to simulate heat and moisture transport in a frozen soil

Citation
Ml. Deangelis et Ef. Wood, A detailed model to simulate heat and moisture transport in a frozen soil, IAHS-AISH P, (248), 1998, pp. 141-148
Citations number
14
Categorie Soggetti
Current Book Contents
ISSN journal
01447815
Issue
248
Year of publication
1998
Pages
141 - 148
Database
ISI
SICI code
0144-7815(1998):248<141:ADMTSH>2.0.ZU;2-8
Abstract
The problem of moisture movement and storage in a frozen soil is complicate d by water undergoing a phase change during freezing and thawing. The moist ure migration and freezing processes are coupled and jointly influence the temperature field and the rate of transfer. Fluid properties change substan tially as the temperature of the soil water system is lowered to and passes the freezing point of bulk water. With an unsaturated frozen system not on ly ice, soil and air are present, but also unfrozen water. Thin films of un frozen water exist on the surface of soil particles. This interfacial water remains unfrozen because its properties vary from those of bulk water. As temperature is lowered the thickness of the unfrozen water film decreases. The quantity of unfrozen water presents in a frozen soil is also related to the soil type, i.e. fine-grained soils with large surface areas have great er quantities of unfrozen water. Water and heat fluxes are simulated with a one-dimensional numerical code developed by Milly (1991) and subsequently modified in order to consider the phase change and the thermal properties o f ice. A peculiar feature of this code is the specification of the upper bo undary condition in terms of atmospheric interaction: precipitation rate, a ir temperature, wind speed, absolute humidity of air, incoming solar radiat ion and long-wave radiation. Transient one-dimensional fluxes of soil water and heat in response to 3 months of atmospheric forcing are simulated for a site in Rosemount (Minnesota). Soil hydraulic and thermal properties have been estimated a priori from a combination of laboratory measurements (fro m the University of Minnesota, Agricultural experiment station), models, an d other published information. The solution yields temperature, liquid wate r content, and ice content profiles along the column as a function of time. The approach is to use numerical simulations to interpret observed data. T he long-term monitoring record of subsurface soil moisture and temperature in the present study provides initial conditions for the model and data to test model results.