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斜坡演化过程极为复杂，在演化过程中往往表现出明显的非线性特性。采用ＢＤＳ统计分析和非线性时滞相关性判定法，研究这种非线性特性。研究结果表明，通常斜坡演化时间序列所呈现的波动性不是完全随机的，波动数据间存在着复杂的非线性相关关系。这种相关性，可为预报斜坡演化趋势提供准确尺度。
The process of slope evolution is extremely complicated and often shows obvious nonlinear characteristics during its evolution. The BDS statistical analysis and the nonlinear delay correlation judgment method are used to study this nonlinear characteristic. The results show that the fluctuation presented by the slope evolution time series is not completely random, and there is a complicated nonlinear correlation between the fluctuating data. This correlation provides an accurate measure of the trend of slope evolution.