Abstract
The aim of the study was using the disjunctive kriging method to analyze the three dimensional variation of soil electrical conductivity in a costal saline land in the Yangste delta of China. Fifty six soil apparent Electrical Conductivity (ECa) profiles, which inversed by the procedure that combine the EM38 linear model, were selected as the datum source of 3D spatial variability. Firstly, for facilitating the selection of crops risk evaluation threshold value, ECa was transferred to ECe according to the experience model. Secondly, the ECe distribution at the ten layers was transformed with a standard normal distribution by lognormal transformation. At last, the spatial variability of soil electrical conductivity of the all 10 layer was predicted by the disjunctive kriging method and the layers were stacked one by one. It presented a superior visualization of spatial distribution of ECe in 3D space directly that 2D interpolation can’t achieve. The higher ECe, the higher the salinity is. From the top surface map, the spatial distribution of soil salinity can be easily recognized, which is helpful in management on fertility, analyzing experimental data to reduce subjective judgment and developing and applying agronomic practices.
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