随机生成的畦面相对高程最小样本容量确定方法

    Approach for determining minimum sample content of stochastically generated surface relative elevation

    • 摘要: 利用畦面微地形随机模拟方法开展微地形空间变异性对畦灌系统性能影响的分析评价中,如何确定随机生成的畦面相对高程最小样本容量成为关键所在。针对特定的畦灌数值模拟试验条件,借助概率统计学原理与方法,基于构建的畦灌系统性能评价指标的统计特征值与随机生成的畦面相对高程样本容量间的关系,确定用于表征总体的随机生成的畦面相对高程最小样本容量。结果表明,对同类畦块而言,较佳畦面平整状况下要求的最小样本容量较少,而较高估计区间精度下要求的最小样本容量较大,且最小样本容量值对估计区间精度非常敏感。随机生成的畦面相对高程最小样本容量的确定,可为开展畦面微地形空间变异性对畦灌系统性能影响的数值模拟分析与评价提供有效的依托手段。

       

      Abstract: The determination of the minimum sample content is a key question when the stochastic simulation method of microtopography is used to evaluate the effect of the spatial variability of microtopography on the basin irrigation performances. Based on large amount of data from numerical simulation experiment and probability and statistical theory, the relationship between the mean and standard deviations of basin irrigation performances and sample content of stochastically generated surface relative elevation is built, then the minimum sample content of stochastically generated surface relative elevation which is used to reflect the population is determined according to the stable values of the basin irrigation performances. Results show for the same basin type, the minimum sample content is relatively small for better land leveling precision or lower interval estimation precision, and the minimum sample content is very sensitive to the interval estimation precision. The determination of minimum sample content could supply an effective tool for studying the effect of the discrepancy of undulation location corresponding to the same undulation degree on the basin irrigation performances.

       

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