不同颗粒级配黄土比表面积的预测

he specific surface of soil (SSA) is crucial for the interaction of ions and water molecules with the soil particles. Therefore, many physical and chemical properties of soil are determined by its specific surface. Because measurement of the specific surface area is a relatively time-consuming and labor-intensive process, So we can use several different methods of soil surface area for a reasonable prediction. In this paper, a multiple linear regression equation and the power function analysis of two kinds of empirical model and non-plastic soils model are used to predict specific surface area of Q2 loess、Q3 Tianshui Malan loess、Q3Jiuzhoutai Malan loess and sand. It is shown that both the Power function model and Multiple linear regression model perform well in predicting specific surface area of the soils, but the former is better in overall performance than the latter, Non-plastic soil model is not applicable for the specific surface area of soils.