Determining the Hydraulic Conductivity Spatial Structure at the Twin Lake Site by Grain-Size Distribution

Ground Water ◽  
1999 ◽  
Vol 37 (2) ◽  
pp. 223-227 ◽  
Author(s):  
Peter Indelman ◽  
Greg Moltyaner ◽  
Gedeon Dagan
Keyword(s):  
Grain Size ◽  
Hydraulic Conductivity ◽  
Spatial Structure ◽  
Size Distribution ◽  
Grain Size Distribution ◽  
Lake Site

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.

scholarly journals Reconsideration at Field Scale of the Relationship between Hydraulic Conductivity and Porosity: The Case of a Sandy Aquifer in South Italy

2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
Carmine Fallico
Keyword(s):  
Grain Size ◽  
Hydraulic Conductivity ◽  
Size Distribution ◽  
Grain Size Distribution ◽  
Effective Porosity ◽  
Grain Size Analysis ◽  
Size Analysis ◽  
Strict Sense ◽  
Field Scale

To describe flow or transport phenomena in porous media, relations between aquifer hydraulic conductivity and effective porosity can prove useful, avoiding the need to perform expensive and time consuming measurements. The practical applications generally require the determination of this parameter at field scale, while most of the empirical and semiempirical formulas, based on grain size analysis and allowing determination of the hydraulic conductivity from the porosity, are related to the laboratory scale and thus are not representative of the aquifer volumes to which one refers. Therefore, following the grain size distribution methodology, a new experimental relation between hydraulic conductivity and effective porosity, representative of aquifer volumes at field scale, is given for a confined aquifer. The experimental values used to determine this law were obtained for both parameters using only field measurements methods. The experimental results found, also if in the strict sense valid only for the investigated aquifer, can give useful suggestions for other alluvial aquifers with analogous characteristics of grain-size distribution. Limited to the investigated range, a useful comparison with the best known empirical formulas based on grain size analysis was carried out. The experimental data allowed also investigation of the existence of a scaling behaviour for both parameters considered.

Hydraulic conductivity prediction based on grain-size distribution using M5 model tree

2016 ◽  
Vol 12 (2) ◽  
pp. 107-114 ◽  
Author(s):  
Mojtaba Naeej ◽  
Mohamad Reza Naeej ◽  
Jafar Salehi ◽  
Reyhaneh Rahimi
Keyword(s):  
Grain Size ◽  
Hydraulic Conductivity ◽  
Size Distribution ◽  
Grain Size Distribution ◽  
M5 Model Tree ◽  
Model Tree ◽  
M5 Model

Evaluation of hydraulic conductivity based on grain size distribution parameters using power function model

2018 ◽  
Vol 19 (2) ◽  
pp. 596-602
Author(s):  
Rajat Kango ◽  
Vijay Shankar ◽  
M. A. Alam
Keyword(s):  
Grain Size ◽  
Hydraulic Conductivity ◽  
Size Distribution ◽  
Power Function ◽  
Grain Size Distribution ◽  
Specific Weight ◽  
Experimental Investigations ◽  
Function Model ◽  
Earthen Structures ◽  
Distribution Parameters

Abstract Hydraulic conductivity is a parameter dictating groundwater recharge, having dependability on factors related to aquifer properties such as particle size, shape, degree of compaction, grain size distribution and fluid flow properties like viscosity and specific weight. The present study is focused on the effect of the grain size distribution of the particles of the aquifer material on its permeability. In order to investigate variation of permeability with respect to the grain size distribution, experimental investigations are conducted on natural borehole samples and those prepared by mixing borehole samples with known quantities of marble chips within a laminar flow regime. A power function model is developed for the estimation of permeability based on grain size distribution parameters σ (standard deviation) and D50 (median grain size). The results from the developed model show good agreement with experimental data as the values of R2, RMSE and MAE for the model are (0.99, 0.007, 0.005) for 5.08 cm dia., (0.99, 0.005, 0.004) for 10.16 cm dia. and (0.97, 0.004, 0.003) for 15.24 cm dia. permeameters respectively. The developed power function model provides an efficient tool to estimate the yield of wells, seepage below earthen structures and design of filters with reasonable accuracy.

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