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。
The coarse graining surface in the north of Jartai salt lake was selected as the research object. Based on the digital image processing technique, the percentage contents of different particle size of the wind erosion surface were obtained. The spatial heterogeneities of the particles of different size were analyzed through both classical statistics and geostatistics. The results showed that : ( 1 ) The mean content of high - erodible, semi - erodible, non- erodible soil particles were 17.20%, 20.73% and 47.38%, respectively. It indicated that the surface materials in the study area are mainly composed of the non - erodible particles. (2) The variation coeffi- cient of the content of non - erodible, semi - erodible, high - erodible soil particles were 41.58%, 32.75% and 53.31%, respectively. The variation function model of optimal fitting theory of 3 types of particles were classi- fied as exponential model. Variation coefficient and variation function model indicated that the smaller the particle size, the larger the spatial variability. (3) All the 3 size particles were distributed as patches, which indicated that the spatial pattern of different types of wind erosion was the combined effect of structural factors and random factors. But the structural factors, such as the parent material, the distribution of wind erosion and vegetation in region, were the dominant driving forces of the spatial distribution of surface particles. In addition, artifi- cial process also affected the particle distribution to a certain extent.
作者
高君亮
吴波
高永
罗凤敏
党晓宏
蒙仲举
GAO Junliang WU Bo GAO Yong LUO Fengmin DANG Xiaohong MENG Zhongju(Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China Inner Mongolia Dengkou Desert Ecosystem Research Station, State Forestry Administration / Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou 015200, China Desert Science and Engineering College, Inner Mongolia Agricultural University, Hohhot 010019, China)
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2017年第1期101-107,共7页
Journal of Arid Land Resources and Environment
基金
内蒙古自治区自然科学基金(2014ZD03)
中科院西部之光资助
关键词
粒度特征
空间异质性
数字图像
风蚀
吉兰泰盐湖
grain size characteristics
spatial heterogeneity
digital image
wind erosion
Jartai salt lake