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Combining Geostatistics with Moran's I Analysis for Mapping Soil Heavy Metals in Beijing, China

文献类型： 外文期刊

作者： Huo, Xiao-Ni 1 ; Li, Hong 1 ; Sun, Dan-Feng 3 ; Zhou, Lian-Di 1 ; Li, Bao-Guo 3 ;

作者机构： 1.Beijing Acad Agr & Forestry, Beijing 100089, Peoples R China

2.Taiyuan Univ, Dept Environm Engn, Taiyuan 030009, Peoples R China

3.China Agr Univ, Coll Nat Resources & Environm Sci, Dept Land Resources & Management, Beijing 100193, Peoples R China

关键词： geostatistics; Moran's I analysis; heavy metals; Beijing

期刊名称：INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH （ 影响因子：3.39； 五年影响因子：3.789 ）

ISSN：

年卷期： 2012 年 9 卷 3 期

页码：

收录情况： SCI

摘要： Production of high quality interpolation maps of heavy metals is important for risk assessment of environmental pollution. In this paper, the spatial correlation characteristics information obtained from Moran's I analysis was used to supplement the traditional geostatistics. According to Moran's I analysis, four characteristics distances were obtained and used as the active lag distance to calculate the semivariance. Validation of the optimality of semivariance demonstrated that using the two distances where the Moran's I and the standardized Moran's I, Z(I) reached a maximum as the active lag distance can improve the fitting accuracy of semivariance. Then, spatial interpolation was produced based on the two distances and their nested model. The comparative analysis of estimation accuracy and the measured and predicted pollution status showed that the method combining geostatistics with Moran's I analysis was better than traditional geostatistics. Thus, Moran's I analysis is a useful complement for geostatistics to improve the spatial interpolation accuracy of heavy metals.

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