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在GIS和地统计学方法支持下,对新疆农五师81团滴灌棉田土壤养分空间变异特征进行定量评价。结果表明:研究区有效铜、有效铁、有效锌、有效硼、有效锰、总盐等空间变异主要由结构性因素引起,有机质、碱解氮、速效磷、速效钾空间变异主要由结构性和随机性因素共同引起;在普通克里格、反距离加权、全局多项式、局部多项式、径向基函数预测方法中,用局部多项式插值法来预测有机质、碱解氮、速效磷、有效铁、有效锌、有效锰、有效硼的空间分布精度较高;用普通克里格插值法来预测有效铜空间分布精度较高;用径向基函数插值法来预测速效钾的空间分布精度较高。
With the support of GIS and geostatistics methods, the spatial variability of soil nutrients of 81 drip irrigation cotton fields in Xinjiang Nongwu division was quantitatively evaluated. The results showed that the spatial variability of available copper, available iron, available zinc, available boron, available manganese and total salt in the study area was mainly caused by structural factors. The spatial variability of organic matter, available nitrogen, available phosphorus and available potassium was mainly caused by structural and In the ordinary Kriging, inverse distance weighted, global polynomial, local polynomial and radial basis function prediction methods, the local polynomial interpolation is used to predict the contents of organic matter, alkaline nitrogen, available phosphorus, available iron, and effective Zinc, available manganese and available boron were higher. The accuracy of spatial distribution of available copper was predicted by ordinary Kriging interpolation method. The radial basis function interpolation method was used to predict the spatial distribution accuracy of available potassium.