黑河下游土壤的细土颗粒粒径组成和质地类型的空间分布规律初步研究  

Preliminary Application of the Fuzzy c-mean Clustering Method to the Soil Type Distribution in the Lower Heihe River

作　　者：毛丽丽[1,2,3] 于静洁[1,2,3] 张一驰[1,2,3] 孙国忠[1,2,3] 

机构地区：[1]陆地水循环及地表过程重点实验室,中国科学院地理科学与资源研究所,北京100101 [2]农业部旱作节水农业重点开放实验室,中国农业科学院农业环境与可持续发展研究所,北京100081 [3]国家知识产权局专利局专利审查协作北京中心,北京100081

出　　处：《土壤通报》2014年第1期52-58,共7页Chinese Journal of Soil Science

基　　金：国家重点基础研究发展计划项目(2009CB-421305);国家自然科学基金(91025023);博士后基金(20110490573)资助

摘　　要：研究利用遥感数据及模糊c均值聚类方法对我国西北典型干旱区黑河下游的土壤细土颗粒粒径组成和质地类型的空间分布规律进行了初步研究。收集并分析了该地区的地形参数(坡度、沿剖面曲率和沿等高线曲率)、植被指数(NDVI)及地质数据,设计了16个野外典型样本采集点及9个独立样本用于结果验证。利用沉降法和筛分法测定了细土的颗粒粒径组成。以模糊隶属度为权重,运用加权平均法计算得到土壤砂粒、粉粒及粘粒含量和质地类型的空间分布,结果与9个独立采样点进行对比,无显著性差别。表明该方法在极端干旱区黑河下游地形较平缓地区适用性较强,结果能够满足应用需求,可为该区域的地表过程研究提供宝贵的数据支持。The distributions of the terrain factors （including the slope, profile curvature and contour curvature）, geology and normalized difference vegetation index in lower Heihe River were clustered using fuzzy c-means method. Fuzzy membership distribution of 15 groups of environmental factors were derived to position 16 soil samples in the area with membership larger than 0.9. Nine individual soil samples were collected to verify the results. The soil particle distribution was measured in the lab experiments. The spatical distribution of the sand, silt and clay particle contents were calculated using the weighted average method with fuzzy membership as the weight. The calculated results were verified to be not significant different from the measured values, which means that the method discussed in this study is very suitable to be applied in the Lower Heihe River. The results satisfied with the requirement of the application and supplied very important data to the studies of the area earth＇s surface process.

关 键 词：土壤粒径组成 遥感 模糊C均值聚类 黑河下游 

分 类 号：S155.3[农业科学—土壤学]