Spatial Variability Analysis of Hydraulic Conductivity in Tilled and No-Tilled Soil
Journal Title: International Journal of Farming and Allied Sciences - Year 2014, Vol 3, Issue 12
Abstract
Knowledge of spatial variability of hydraulic conductivity is necessary in many processes such as drainage projects design. This study were aimed to examine the spatial variability of hydraulic conductivity in an area of 5000 square meters. Data were collected from tilled and no-tilled soils and at two different scales. In large-scale a number of 47 and 111 sample were taken from tilled and no-tilled soils respectively, and in small-scale 66 samples were taken in both tilled and tilled soils. Three methods Kriging, log kriging and inverse distance weighting (IDW) for Estimation. The methods performance is evaluated using cross-validation technique with the comparison criteria of mean absolute error (MAE), mean bias error (MBE) and the root mean square error (RMSE). The results showed that the spatial structure of hydraulic conductivity in large-scale in no-tilled soil with and without logarithmic transformation follows a spherical model. Spatial correlation is also weak. In large scale and in tilled soil the semi variogram of hydraulic conductivity and its logarithmic follow a Gaussian model. In this case the spatial correlation is also weak. The semivariogram of hydraulic conductivity in small-scale in no-tilled soil with and without logarithmic transformation and follows a linear model. In this case a strong weak correlation is observed. After Plowing the land the best fitted model semivariogram is the exponenatial and spherical model for logarithnics and raw data, respectively. The spatial correlation is weak in this case. The results of cross-validation indicate that the Kriging method estimates hydraulic conductivity more accurate.
Authors and Affiliations
V. Shamsabadi, P. afrasiab, A. Mohamadianfar, S. Abdi, Y. Esmaeil jami and M. Kazemi
Keywords
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