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	Spatial distribution of soil heavy metal pollution estimated by different interpolation methods: Accuracy and uncertainty analysis
	Yang J.; Lei M.
	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
卷	82
期	3
页	468-476
收录类别	SCI
语种	英语
ISSN号	0045-6535
内容类型	SCI/SSCI论文
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.

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