Estimation of Hydraulic Conductivity from Grain Size Distribution: A Case Study of Sediments From Panzara River, Tapi Basin, Northern Maharashtra (India)

2016 ◽  
Vol 35f (1and2) ◽  
pp. 1
Author(s):  
R.B. Golekar ◽  
M.V. Baride ◽  
S.N. Patil ◽  
Rajesh Mohite ◽  
Sunil Patil ◽  
...  
Keyword(s):  
Grain Size ◽  
Hydraulic Conductivity ◽  
Size Distribution ◽  
Grain Size Distribution ◽  
Tapi Basin

On the prediction of hydraulic conductivity of frozen soils

1996 ◽  
Vol 33 (1) ◽  
pp. 176-180 ◽  
Author(s):  
Vlodek R Tarnawski ◽  
Bernhard Wagner
Keyword(s):  
Grain Size ◽  
Hydraulic Conductivity ◽  
Water Content ◽  
Bulk Density ◽  
Size Distribution ◽  
Grain Size Distribution ◽  
Input Data ◽  
Unfrozen Water ◽  
Frozen Soils ◽  
Unfrozen Water Content

This paper describes a mathematical model for predicting the hydraulic conductivity of partially frozen soils on the basis of limited input data such as grain size distribution and bulk density or porosity. A new model is based on an analogy for the hydraulic conductivity of frozen and unfrozen soils and models for the estimation of hydraulic properties of soils and unfrozen water content. Campbell's model was used for prediction of soil-water characteristics from limited data, while unfrozen water content was obtained from two models (by P.J. Williams and D.M. Anderson) applied to two different temperature ranges. The new model can be used for the rapid estimation of the hydraulic conductivity of practically any freezing soil having log-normal grain size distribution and for computer simulation of moisture migration in soils below the freezing point. An acceptable conformity between the model prediction and measured data for pure sand has been achieved. The computer program developed requires the following input data: grain size distribution, bulk density or porosity, and soil temperature. Key words: frozen soils, hydraulic conductivity, bulk density, grain size distribution, unfrozen water content.

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