International Journal of Earth Sciences and Engineering

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Hydraulic conductivity is a soil characteristic which plays an important role in geotechnical and water resources projects making its determination an important task. Most convenient method to accomplish this task is by using empirical relationships correlating hydraulic conductivity with various properties of porous media. This study aims at the development of regression models to predict Hydraulic conductivity of sandy soils by incorporating two grain size distribution parameters which are the representative grain size and standard deviation of Grain size distribution. Linear and nonlinear regression models were developed and compared with already established empirical formulae.

Keywords

Correlation, Least Square Regression Method, Hydraulic Conductivity, Grain Size, Grain Size Distribution, Standard Deviation of Grain Size Distribution.
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