近年来光谱技术以其经济、 高效的优势在土壤盐渍化监测研究中得到重视, 但是由于土壤水分对反射光谱影响很大, 土壤湿润条件下监测精度难以满足农业生产需求。 通过对盐土土柱室内模拟蒸发过程中的反射光谱和水分、 盐分变化的连续监测, 利用多元逐步回归方法, 建立了1 370～1 610 nm光谱对称度与土壤表层含盐量、 含水量之间的线性关系模型, r为0.863; 用该模型反演表层土壤含盐量, 实测值与预测值之间线性关系的r为0.656（n=54）, RMSE为2.059 g·kg-1。 利用光谱对称度可以实现土壤湿润条件下土壤盐分含量预测。

There has been a growing interest in using spectral reflectance as a rapid and inexpensive tool for soil salinity monitoring in recent years. However, since soil moisture often exerts a tremendous influence on soil reflectance, the monitoring accuracy under various moisture conditions cannot fully satisfy the requirements of agricultural practice. In the present paper, a linear model was built to relate the spectral symmetry in the band of 1 370～1 610 nm with the salt content and moisture content of the saline soil based on regularly measured data of reflectance, soil moisture and salt content of the surface of 5 soil columns during the simulated evaporation process in laboratory. The results showed that the model was good with r greater than 0.8. By inversing the model, soil salt content then was predicted after moisture content was determined. The results showed that the prediction accuracy was acceptable with a root mean square error (RMSE) of 2.059 g·kg-1 and an r of 0.656. The results demonstrated the feasibility of using spectral symmetry to predict soil salt content under various moisture conditions.