Stochastic simulation of three dimensional variation of soil salinity in a paddy rice soil

In this study, 56 EC_a profiles, which inversed by the EM38 linear model with Tikhonov regularization method, were selected as the original datum of 3D variation. The spatial variability of EC_a at ten depths was simulated by the SGS method. It was shown that not only the spatial distribution characteristics of the original data, but also the volatility of the distribution was well simulated by the SGS method. The layers were stacked one by one. The contour map of EC_a displayed a spatial distribution with a high salinity level in the east corner, and low salinity level in the west and northern corner. The salinity in the bottom of southeast is higher, and the salinity distribution for all layers had a similar trend. The EC_a value increased with the increase of the soil depth at the vertical orientation.