UID:
kobvindex_GFZ20201209151718
Format:
iv, 14, A3, B2, C2 Seiten
,
Illustrationen
Series Statement:
Research report / Cold Regions Research and Engineering Laboratory 90
Content:
Summary: A new method is presented for extracting more meaningful information from snow profile data which will simplify the study of the permeability of snow. Earlier analyses normally employed statistical methods to determine property variations with depth, with the line of mean values established by the method of least squares. The mean curves derived in this manner may not represent properly the true nature of the snow pack, or aid in understanding the dynamic processes which are in action. The new graphical methods described distinguish the separate effects of densification and thermal metamorphism on permeability, permitting future advances in the analysis. Profile data obtained in 1954 and 1960 are reanalyzed using the new techniques. For a natural polar pack under conditions when no melting occurs and the accumulation is assumed continuous, the following conclusions may be made: permeability for a given density of snow increases with depth and time except possibly near the surface or at depths below 30 m; the rate of permeability change with depth for given densities decreases in a calculable way relative to the density; and, mean permeability changes with depth in a complex manner.
Note:
CONTENTS
Preface
Summary
Introduction
Standard methods of data presentation-
A class interval method of data presentation
Interpretation of the numerical data
Interpretation of thin sections
Conclusions
References
Appendix A
Appendix B
Appendix C
In:
Research report / Cold Regions Research and Engineering Laboratory, 90
Language:
English
Keywords:
Forschungsbericht
URL:
https://hdl.handle.net/11681/5875
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