中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatial distribution of soil heavy metal pollution estimated by different interpolation methods: Accuracy and uncertainty analysis

文献类型:SCI/SSCI论文

作者Yang J.; Lei M.
发表日期2011
关键词Soil contamination Spatial interpolation Uncertainty evaluation Geostatistics Inverse distance weighting Radial basis functions human health map quality hong-kong contamination urban management cadmium lead
英文摘要Mapping the spatial distribution of contaminants in soils is the basis of pollution evaluation and risk control. Interpolation methods are extensively applied in the mapping processes to estimate the heavy metal concentrations at unsampled sites. The performances of interpolation methods (inverse distance weighting, local polynomial, ordinary kriging and radial basis functions) were assessed and compared using the root mean square error for cross validation. The results indicated that all interpolation methods provided a high prediction accuracy of the mean concentration of soil heavy metals. However, the classic method based on percentages of polluted samples, gave a pollution area 23.54-41.92% larger than that estimated by interpolation methods. The difference in contaminated area estimation among the four methods reached 6.14%. According to the interpolation results, the spatial uncertainty of polluted areas was mainly located in three types of region: (a) the local maxima concentration region surrounded by low concentration (clean) sites, (b) the local minima concentration region surrounded with highly polluted samples; and (c) the boundaries of the contaminated areas. (C) 2010 Elsevier Ltd. All rights reserved.
出处Chemosphere
82
3
468-476
收录类别SCI
语种英语
ISSN号0045-6535
源URL[http://ir.igsnrr.ac.cn/handle/311030/22732]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Yang J.,Lei M.. Spatial distribution of soil heavy metal pollution estimated by different interpolation methods: Accuracy and uncertainty analysis. 2011.

入库方式: OAI收割

来源:地理科学与资源研究所

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