土壤水分、盐分空间序列初步研究

大面积水盐监测和调查的难度在于受土壤空间变异性的影响。为揭示水盐变异规律 ,经地质统计学初步分析 ,实验取样结构性较弱而随机较强 ,从而采用随机理论 ,将传统随机理论—时间序列分析法和最大熵谱分析用于空间序列 ,以空间代替时间 ,对分层土壤作空间序列的最大熵谱分析 ,系统揭示出田间土壤不同尺度下 ,水分盐分变化规律 ,对大面积土壤水盐监测具有一定的指导意义

The Preliminary Research on Spatial Variability of Soil Water and Salt Contents

Spatial variability is a very difficult item to deal with in large scale soil water and soil salt monitoring and investigation The preliminary research results with geo statistics theories and methods show that structure feature is weaker and stochastic feature is stronger for the soil water and salt data. Therefore, stochastic theory is applied to analyze sampling spatial series. In the analysis, space is in the place of time, and time series and maximum entropy spectral analysis is used to reveal spatial variability of soil water and soil salt contents in different monitoring scales, and for monitoring soil water and soil salt contents in large areas.