论文部分内容阅读
运用半方差分析和Kriging插值研究了古尔班通古特沙漠南缘典型沙垄至垄间地浅层土壤(0～30cm)pH值、电导率、有机质及全N含量的空间变异特征。结果表明,土壤pH值、有机质及全N含量服从正态分布,电导率符合对数正态分布。半方差分析结果显示,土壤pH值、电导率符合球状模型,而有机质、全N含量符合高斯模型。除全N具有中等空间相关性外,其余的都具有强空间相关性。用Kriging插值法对未测点的参数含量进行最优估计,绘制含量分布图,从而更直观地反映研究区土壤参数空间变异特征。
The spatial variability of pH value, conductivity, organic matter and total N content in the shallow soil (0-30 cm) from the typical sand ridge to the ridge in the southern edge of the Gurbantunggut desert was studied by semi-variance analysis and Kriging interpolation. The results showed that the soil pH value, organic matter and total N content obey the normal distribution and the conductivity conforms to the lognormal distribution. The results of the semi-variance analysis showed that the soil pH value and conductivity conformed to the spherical model, while the organic matter and the total N content fit the Gaussian model. Except that all N have moderate spatial correlation, the rest have strong spatial correlation. Kriging interpolation method is used to estimate the parameters of untested points optimally, and the content distribution map is drawn to reflect the spatial variability of soil parameters more intuitively.