Title Water retention curve of snow with different grain sizes
Author Yamaguchi, S.; Katsushima, T.; Sato, A.; Kumakura, T.
Author Affil Yamaguchi, S., National Research Institute for Earth Science and Disaster Prevention, Nagaoka, Niigata, Japan. Other: Nagaoka University of Technology, Japan
Source Cold Regions Science and Technology, 64(2), p.87-93, ; International snow science workshop 2009, Davos, Switzerland, Sept. 27- Oct. 2, 2009, edited by J. Schweizer. Publisher: Elsevier, Amsterdam, Netherlands. ISSN: 0165-232X
Publication Date Nov. 2010
Notes In English. Based on Publisher- supplied data GeoRef Acc. No: 309830
Index Terms grain size; models; porosity; snow; unfrozen water content; hydraulic conductivity; retention; saturation; suction; water content
Abstract The water retention curve (WRC), which shows the relationship between volumetric water content (#2Vv) and suction (h), is fundamental for characterizing hydraulic properties. Thus, to model water movement through the snow cover, a formulation for the WRC as a function of snow characteristics must be established. In order to examine the dependence of the WRC on the grain size of snow, we measured the WRCs of snow (550 kg m- 3) of various grain sizes in gravity drainage column experiments. Our experiments revealed many similarities between the WRCs of snow and sand. Thus, we applied two soil physics models, the Brooks and Corey model (BC model) and the van Genuchten model (VG model), which are standard models in soil physics to analyze the WRC of snow. Two parameters in both models that affected the shape of the WRC had a strong relationship with sample grain size. The parameter related to the value of the reverse of air entry suction increased with an increase in grain size, whereas the parameter related to the gradient of #2Vv versus h (d#2Vv/dh) decreased with an increase in grain size. From these results, we obtained linear equations between those two parameters and grain size. Our results suggest that the WRC of snow can be described as a function of grain size using soil physics models.
URL http://hdl.handle.net/10.1016/j.coldregions.2010.05.008
Publication Type conference paper or compendium article
Record ID 65006935