地学前缘 ›› 2008, Vol. 15 ›› Issue (5): 103-109.

• 论文 • 上一篇    下一篇

元素空间分布插值方法的对比研究:以铜陵地区土壤中的重金属元素为例

  

  1. 1合肥工业大学 资源与环境工程学院, 安徽 合肥 230009
    2安徽省地质调查院, 安徽 合肥 230009

  • 出版日期:2008-05-02 发布日期:2008-05-02
  • 作者简介:袁峰(1971—),男,博士,教授,矿床学专业。Email:yf_hfut@163.com
  • 基金资助:

    安徽省科技攻关计划项目(08010302200);安徽省优秀青年科技基金项目(08040106907,04045063);中国地质调查局项目(2004012)

 Comparison between methods for interpolation of　studying spatial distribution of elements: a case study of soil heavy metals in Tongling　area, south China.

  1. 1School of Resources and Environmental Engineering,Hefei University of Technology, Hefei 230009, China
    2Anhui Institute of Geological Survey, Hefei 230009, China

  • Online:2008-05-02 Published:2008-05-02

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摘要：

文中以铜陵地区As、Cd、Cu、Pb、Tl、Zn等6种土壤污染元素为例,选取常用且具有代表性的反距离

加权法、径向基函数法、普通克里格法、多维分形法4种空间插值方法,进行土壤元素空间插值,并对其结

果进行验证分析和评价。各方法均选取最优参数进行插值对比,土壤样本数共372个,其中337个用于插值计

算,35个不参与插值计算而用于验证插值结果。对比研究显示,普通克里格法对刻画区域土壤元素的空间分

布趋势效果最佳,但其半变异函数模型及参数的优选仍有待进一步研究;多维分形法对刻画土壤元素局部异

常和污染效果最佳,但其对土壤元素分布普遍特征的反映仍需深入研究;反距离加权法和径向基函数法对土

壤元素分布的空间插值精度一般,但其简单易用、插值最优参数易于选择。

关键词: 空间插值;交叉验证;重金属元素;土壤;铜陵地区

Abstract:

Taking six kinds of elements of soil contamination including As, Cd, Cu, Pb, Tl

and Zn in Tongling area as an example, we have made spatial interpolation for soil elements

by using four types of representative interpolation methods, including inverse distance

weighted, radial basis function, ordinary Kriging and multifractal interpolation, and have

validated and appraised the resultsComparison is made between methods with optimized

parameters337 soil samples in a total of 372 samples were used for interpolation, and the

rest 35 samples not having been interpolated were used for validationThe results of

comparison indicate that ordinary Kriging exhibits best effect in characterizing spatial

distribution trend of soil elements, yet the optimized models and parameters of semi

variogram are still pending further study; multifractal method is the best in characterizing

local abnormality and contamination, whereas its function of reflecting the general texture

of soil element distribution needs indepth study; inverse distance weighted and radial

basis function interpolate less accurately for the spatial distribution of soil elements,

but are easy to use and to select optimized parameters.

Key words:

Key words: spatial interpolation; cross validation; heavy metals; soil; Tongling area

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