中文摘要：

通过野外土壤样品采集,获取了乌兰布和沙漠东北缘光伏电站内表层土壤颗粒组成信息,结合经典统计学和地统计方法,研究了电站内极细沙颗粒（0.1~0.05 mm）、细沙颗粒（0.25~0.1 mm）、中沙颗粒（0.5~0.25 mm）、粗沙颗粒（1~0.5 mm）的空间分布格局。研究结果表明：表层0~5 cm土壤颗粒含量大小为细沙颗粒〉中沙颗粒〉粗沙颗粒〉极细沙颗粒;其颗粒变异系数变化范围为17.94%~79.08%,属中等程度变异。极细沙颗粒最优半方差函数模型为高斯模型,其他3种颗粒均为指数模型;地统计分析得出电站内土壤颗粒具有中等强度的空间自相关性,土壤颗粒组成空间变异性除由结构性因素引起,受光伏电站光伏阵列影响较大。Kriging插值结果显示电站中心区域土壤颗粒组成最细,土壤颗粒组成自中心向南北两缘表现出先增粗后变细的趋势。

英文摘要：

Surface has been obtained soil particle composition information of photographic power station in Northeast Wulanbuhe Desert through field soil samples collection, combined with classical statistics and geo - statistical analysis method, spatial distribution patterns of extremely fine sand particles （0. 1 - 0. 05 ram）, fine sand particles （0. 25 ~0. 1 mm）, moderate sand particles （0. 5 -0.25 mm） and coarse sand particles （1 -0. 5 ram） in power station have been researched. The results show that soil particle content in 0 - 5 cm soil layer is fine sand particles 〉 moderate sand particles 〉 coarse sand particles 〉 extremely fine sand particles, the particle variation coefficient changes from 17.94% to 79.08%, which belongs to moderate variation. The best semi - variance function model of extremely fine sand particles is Gaussian model, other three particles model is exponential model. The soil parti- cles in photographic power station have moderate spatial autocorrelation according to geo - statistical analysis meth- od. The spatial heterogeneity of soil particle composition has been influenced by the structural factors and the photovoltaic array of photographic power station. Kriging interpolation result shows that the extremely fine sand particles are in the central area of power station, and the soil particle Composition has the trend of becoming coarse first and then fine from the center to southern and northern edge.