Abstract:On the basis of field investigation, soil sampling and chemical analysis, classical statistical analysis was applied in order explore the salinity characteristics of takyric solonetz in Ningxia Yinbei Region in our country for investigating the basic salinity conditions of takyric solonetz and establishing predictive models of main salinity characteristics from electrical conductivity under drip irrigation. Results showed that the main salt ions accumulated significantly towards to the top layers in soil profile, salt contents decreased with the increase of soil depth. Cl- and Na+ were the dominant anions and cations respectively in soil, especially in the top layers, and HCO3- content increased gradually in the soils below 100 cm. SAR in the surface soil was above 15 (mmol/L)0.5 and pH values between 8.5-10. Na+ content had the most significant correlation with Cl-, with a correlation coefficient of 0.902 (P<0.01), and followed by SO42- and HCO3-. Significant correlations (P<0.01) between the electrical conductivity of saturation paste extracts (ECe) and Cl-, Na+, total soluble salt (TSS) content, SAR were found. Mathematic models were developed to calibrate Cl-, Na+, TSS content and SAR from ECe by using linear regression respectively with 150 samples. Verified with other 150 samples, the prediction accuracy was reliable, so the models could be used to evaluate the contents of Cl-, Na+ and TSS, as well as SAR, economically and fast, and finally could be served as predictive methods for the salinity condition of takyric solonetz under precise amelioration with drip irrigation in this region.