内蒙土壤微量元素含量的空间结构特征  

Spatial Distribution Pattern of Trace Elements Contents in the Soil in Inner Mongolia

作　　者：徐尚平[1] 陶澍[1] 徐福留[1] 曹军[1] 

机构地区：[1]北京大学城市与环境学系,北京100871

出　　处：《地理学报》2000年第3期337-345,共9页Acta Geographica Sinica

基　　金：国家杰出青年基金项目!(49525102)

摘　　要：用因子克里格法分析了内蒙地区土壤中 1 0种微量元素含量的空间结构特征。结果显示 ,母质和以土类为代表的表生地球化学作用是影响内蒙土壤中微量元素含量空间分布模式的主要因素。母质因子的空间变异尺度较小 ,而表生地球化学作用因子则具有较大变异尺度。整体而言 ,母质的影响强于表生地球化学作用。内蒙土壤中微量元素含量在不同空间尺度具有较为一致的相关特征。Soil samples representing various soil horizons (A, B, and C) were collected from 349 sites in Inner Mongolia Autonomous Region and the total contents of 10 trace elements, namely copper, lead, zinc, cadmium, nickel, chromium, mercury, cobalt, vanadium and manganese were measured with atomic adsorption spectrophotometry. Preliminary data analysis showed that the concentration of each element conforms to logarithmic normal distribution, therefore, logarithmic transformation was performed in order to reduce the possible scale effect. Factorial Kriging Analysis (FKA) was then applied to analyze the spatial correlation pattern among various trace element contents. As Principal Component Analysis (PCA) showed that the primary two components account for the main source of variance, a series of rotation methods have been used and spatial correlation patterns of these two primary factors under different rotation schemes were compared with respect to spatial orthogonality. Since rotations increased significantly the spatial dependency between the two components in this case, the principal components without any rotation were deployed as the basis of FKA. It is further demonstrated by computing and comparing partial β values that parent materials and soil class are the primary factors controlling the concentrations and spatial distribution patterns of the trace elements in the soils of the studied area. The variogram of the primary factor, which mainly represents the effect of parent materials, consists of nugget effect and two spherical models with ranges of 200 and 400 km, respectively. A linear model with a 1 000 odd km range and nugget effect, on the other hand, constitutes the variogram model of the second component, which can be referred to as the representative of soil class. Based on the variogram model of the principal components, the variogram of the content of each element is therefore modeled by manual coefficient adjustment under the constraint of Schwarz inequality. Although the influence of the principa

关 键 词：土壤 微量元素 因子克里格 空间结构 

分 类 号：S159.2[农业科学—土壤学]