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基于数字图像处理技术获取了吉兰泰盐湖北部风蚀粗粒化地表不同粒级风蚀颗粒的百分含量,并采用经典统计学和地统计学分析方法对各粒级颗粒的空间异质性进行了分析。结果表明:1)高度可蚀(<0.42mm)、半可蚀(0.42~0.84mm)和不可蚀(>0.84mm)颗粒百分含量的均值分别为17.20%、20.73%和47.38%,说明研究区地表物质组成以不可蚀颗粒为主。2)高度可蚀、半可蚀和不可蚀颗粒含量的变异系数分别为53.31%、32.75%和41.58%,3者的半方差函数最优拟合理论模型均为指数模型,变异系数和半方差函数模型说明地表物质组成中,颗粒越小,其空间分布的变异性越大。3)3类风蚀颗粒的空间分布格局均呈斑块状,说明颗粒空间分布格局是由结构因素和随机因素共同作用的结果。其中,成土母质、风蚀及植被分布状况是造成不同粒级颗粒分布出现差异的主要驱动力,此外,人为过程在一定程度上也影响了颗粒的再分布。
Based on the digital image processing technology, the percentage of wind erosion grains with different grain size on the wind erosion coarse grained surface in the north of Jilantai Salt Lake was obtained, and the spatial heterogeneity of each grain size was studied by classical statistics and geostatistical analysis analysis. The results showed that: 1) the average percentages of highly erodible (<0.42mm), semi-erodable (0.42-0.84mm) and non-erodable (> 0.84mm) particles were 17.20%, 20.73% and 47.38% Area surface composition of non-corrosive particles based. 2) The coefficients of variation of the highly erodable, semi-erodable and non-erodable particles were 53.31%, 32.75% and 41.58%, respectively. The theoretical models of semivariance function optimal fit of the three models were exponential model, coefficient of variation and semivariogram The functional model shows that the smaller the particles are, the greater the variability of the spatial distribution is. 3) The spatial distribution pattern of the three types of wind erosion particles showed a patchy pattern, indicating that the spatial distribution pattern of the particles is the result of the combination of structural factors and random factors. Among them, the soil parent material, wind erosion and vegetation distribution are the main driving forces that cause the differences in particle size distribution at different grain sizes. In addition, man-made processes also affect the particle redistribution to a certain extent.