褐土机械组成空间变异等级次序地统计学估计

    Spatial variability estimation of cinnamon soil mechanical composition by rank-order geostatistics

    • 摘要: 采用2 m×2 m均匀栅格取样方式和等级次序地统计学方法,研究了面积为200 m2褐土耕层土壤机械组成的空间变异性。统计特征量表明褐土耕层土壤的机械组成存在高度空间变异性,样本数据不服从正态分布和对数正态分布,无法直接应用普通克里格法研究其空间变异规律。采用重叠移动窗口统计数据可削弱局部偏差值带来的影响,经等级次序标准化转换后用半方差函数分析其等级次序空间结构,再根据普通克里格法对标准化等级次序空间进行估值。对所得的标准等级次序估计值用中位值模型进行逆转换,较清晰地阐明了褐土农田机械组成带状各向异性的空间分布规律。

       

      Abstract: Regular square grids with 2 m spacing was adopted to study the spatial variability of the cinnamon soil mechanical composition in a 10 m×20 m plot. The statistics eigenvalue of the samples show there was the high spatial variability in the cultivated soil layer. The regularity of the spatial variability can not be clarified by the normal Kriging due to the sampling data does not submit to the hypothesis of the normal or logarithm normal distribution. The overlapping moving window was applied to take effect from the highly variability data, and then, the estimated values of the standardized rank space were obtained after the spatial structure of standardized rank assessed by the rank-order geostatistics. The estimated standardized rank was back-transformed into the sampled space by the middle point model within a standardized-rank interval, and the spatial distribution regularity in zonal anisotropy was clearly regularized for the cinnamon soil mechanical composition.

       

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