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土壤属性的空间变异研究对于了解土壤的差异性具有重要意义.运用普通克里格法和序贯高斯模拟方法对大别山区龙潭小流域土壤全氮和有效磷的空间分布进行估值和模拟.结果表明:土壤全氮、有效磷的空间变异均属于中等程度变异,具有强烈的空间自相关,半方差函数拟合的模型均为指数模型,全氮变程为333 m,有效磷变程为474 m.全氮含量主要分布在1.2-1.6 g kg-1之间,占总面积的34.96%,流域的中部和南部较高,北部、东部、西部较低;有效磷含量主要集中在60-100 mg kg-1之间,占总面积的42.17%,流域的西北和南部含量较高.1 000次的序贯高斯模拟显示,普通克里格插值得到的土壤全氮、有效磷的空间分布整体较连续,具平滑效应,序贯高斯模拟的空间分布整体离散,波动性较强.临界概率值为0.50时可以满足条件模拟的要求.随机模拟能够较好地描述土壤属性空间分布的不确定性,为揭示区域土壤属性的空间结构特征提供了有力的工具.
Spatial variability research of soil properties is of great significance to understand the difference of soil.The spatial distribution of soil total N and available P in Longtan watershed of the Dabie Mountains is estimated and simulated by using common Kriging and sequential Gaussian simulation.Results The results showed that the spatial variability of soil total N and available P both belonged to moderate degree of variability, with strong spatial autocorrelation. The model of semi-variance function fitting was exponential model with a total N range of 333 m and available P range of 474 m. The total nitrogen content was mainly distributed in the range of 1.2-1.6 g kg-1, accounting for 34.96% of the total area. The total nitrogen content in the middle and southern part of the basin was higher, while the northern part, the eastern part and the western part were lower. mg kg-1, accounting for 42.17% of the total area, with a high content in the northwestern and southern watersheds.1000 sequential Gaussian simulations showed that the spatial distribution of soil total nitrogen and available phosphorus in the general Kriging interpolation Which is more continuous and smoothed. The spatial distribution of sequential Gaussian simulation is discrete and volatile, and the critical probability is 0.50, which can meet the requirement of conditional simulation. Stochastic simulation can well describe the uncertainty of spatial distribution of soil attributes , To reveal the spatial structure characteristics of soil properties area provides a powerful tool.