Soil salinization is one of the eco-environmental geological problems, which affect the oasis agricultural production and inhibit crop growth. Integrated near sensing technology based on electromagnetic induction instruments and ground sampling techniques is an advanced method for monitoring and forecasting soil salinization. In this contribution, electromagnetic induction EM38 and the soil conductivity data in horizontal mode (EMH) and vertical mode (EMV) and field observation data are used to evaluate soil salinity at the delta oasis between the Weigan River and the Kuqa River in the north rim of the Tarim Basin. Spatio-temporal variation of soil salinity and composite in response to dry and wet seasons is analyzed by using Universal Kriging. Our results show that EMV is significantly correlated with EMH in study area in wet and dry seasons, and the best multiple regression model was EMV+EMH as independent variable in the three models, all achieved 1% significance level. The top layer soil salt content data, which used EM38 to interpreted in accordance with P-P normal distribution in study area in dry and wet seasons, and shows strong spatial autocorrelation. Considering the scale dependency of spatial variation, the nested spherical models are fitted for semi-variance of top soil. Spatio-temporal distribution maps of soil salinity and its main component ions, include Na+ and Cl- for top soil layers were also mapped. And the trend is consistent. So we can monitor spatial variability of soil salinity and its composition in dry and wet seasons using electromagnetic induction instruments.
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