Abstract:
In the current status of soil studies, the accurat e recognition of properties of soil
becomes indispensable. The permeability of soil is very important in the field of
agricul tural engineering as it is connected with various issues of soil and water
conservation. Hydraulic conductivity is also of paramount importance in relation to some
geotechnical problems including the determination of seepage losses, settlement
computations and stability analysis. The laboratory methods of determination of
coefficient of permeability are complicated and consume time. In order to combat these
shortcomings two models were selected for predicting the hydraulic conductivity using
grain size namely, Kozeny Carman model and Alyamani and Sen model. Kozeny Carman
model was based on average particle diameter and porosity of which particle diameter
was determined by Kozeny graphical method. Alyamani and Sen model was based on
normal plot of grain size distribution which uses intercept and grain size corresponding to
particular percentages. The method is comparably less expensive and do not depend on
geometry and hydraulic boundaries of aquifer. The results of the study showed that the
permeability values predicted using the model was in very close agreement with the
laboratory values. Hence this method proves to be a potential predictive tool for
determination of hydraulic conductivity.
