基于数字图像的风蚀地表颗粒粒度特征及空间异质性

发布时间：2018-03-29 09:52

本文选题：粒度特征　切入点：空间异质性　出处：《干旱区资源与环境》2017年01期

【摘要】：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。
[Abstract]:Based on the digital image processing technology to obtain the percentage of Jilantai Saline Lake wind erosion in the northern area of coarse grained surface erosion of different size particles, and the analysis method of spatial heterogeneity on the particle size of particles were analyzed by using classical statistics and geostatistics. The results show that: 1) high erodibility (0.42mm), half erodibility (0.42~0.84mm) and erodibility (0.84mm) mean particle percentage were 17.20%, 20.73% and 47.38%, shows that the study area surface material composition in erodibility particle based.2) highly corrosion, erosion and corrosion can not be semi particle content variation coefficient were 53.31%, 32.75% and 41.58%, semi variance the best fitting function of the 3 theoretical models were exponential model, coefficient of variation and semi variance function model shows that surface material composition, the smaller the particle is, the greater the.3 variability in the spatial distribution of 3 types of partitions) erosion particle space showed patchy, said The particle spatial distribution pattern is by structural factors and random factors. Among them, soil parent material, soil erosion and vegetation distribution is the main driving force, particle distribution differences emerge in addition, people in a certain extent can also affect the distribution of particles.

【作者单位】：中国林业科学研究院荒漠化研究所;国家林业局内蒙古磴口荒漠生态系统定位观测研究站/中国林业科学研究院沙漠林业实验中心;内蒙古农业大学沙漠治理学院;
【基金】：内蒙古自治区自然科学基金(2014ZD03) 中科院西部之光资助
【分类号】：S157.1

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