Abstract Several studies aimed at linking hydraulic conductivity at saturation (K w,s ) to air permeability (K a (θ w )) of soil at given water content (θ w ) since it can be measured more rapidly and nondestructively than K w,s especially regarding some new in situ technologies for K a (θ w ) measurement. Following this, the current research aimed to develop a semi-theoretical relation between K w,s and K a (θ w ) using measured data in 27 soil samples. The K a (θ w ) was measured at 12 different θ w contents between 1.5 to 1,500 kPa suctions. Applying these measured data, we proposed a semi-theoretical function to predict K w,s using K a (θ w ) as input variable. The results showed that the proposed function was able to predict K w,s using K a (θ w ) at any individual θ w content with really high accuracy consisting of R 2 = 0.986 and evaluating error (ER) of the 2% between measured and predicted K w,s . However, the outcomes revealed that K a (θ w ) measurement at lower θ w contents resulted in greater accuracy for proposed model. The pertinent section of the article applied multivariate linear regression (MLR) to develop pedo-transfer functions (PTFs) to estimate the parameters of the proposed model. The results revealed that the developed PTFs had relatively greater accuracy and reliability showing average determination coefficient (R 2) of 0.807 and 0.729 for training and test datasets, respectively. However, more detailed investigation with wide range of soil parameters are needed for more general PTFs development.


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    Titel :

    Prediction of Soil Hydraulic Conductivity at Saturation using Air Permeability at Any Individual Soil Water Content


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2019-10-24


    Format / Umfang :

    9 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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