Comparison of common spatial interpolation methods for analyzing pollutant spatial distributions at contaminated sites

doi:10.1007/s10653-019-00328-0

	Comparison of common spatial interpolation methods for analyzing pollutant spatial distributions at contaminated sites
	Qiao, Pengwei 2; Li, Peizhong 2; Cheng, Yanjun 2; Wei, Wenxia 2; Yang, Sucai 2; Lei, Mei 1; Chen, Tongbin 1
刊名	ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
	2019-12-01
卷号	41 期号:6 页码:2709-2730
关键词	Contaminated site Interpolation method Accuracy Uncertainty Comparison
ISSN号	0269-4042
DOI	10.1007/s10653-019-00328-0
通讯作者	Yang, Sucai(liepi_yangsc@163.com)
英文摘要	Accurate prediction of the spatial distribution of pollutants in soils based on applicable interpolation methods is often the basis for soil remediation in contaminated sites. However, the applicable interpolation method has not been determined for contaminated sites due to the complex spatial distribution characteristics and stronger local spatial variability of pollutants. In this research, the prediction accuracies of three interpolation methods (including the different values of their parameters) for the spatial distribution of benzo[b]fluoranthene (BbF) in four soil layers were compared. These included inverse distance weighting (IDW), radial basis function (RBF), ordinary kriging (OK). The results indicated: (1) IDW1 is applicable for the first layer, RBF-IMQ is applicable to the second, third, and fourth layers. (2) For IDW, the prediction error is bigger with high weight where high values and low values intersect, while the prediction error is smaller where high (or low) values aggregated distribution. (3) For RBF, if the pollutant concentration trend at the predicted location is consistent with the known points in its neighborhood, the prediction accuracy is higher. (4) IDW is suitable for fitting more drastic curved surfaces, while RBF is more effective for relatively gentle curved surfaces and OK is reasonable for curved surfaces without local outliers. (5) The interpolation uncertainty is positively associated with the contaminant concentration and local spatial variability. Therefore, we suggest the selection of the applicable interpolation model must be based on the principle of the model and the spatial distribution characteristics of the pollutants.
资助项目	China Postdoctoral Science Foundation ; Beijing Natural Science Foundation[16L00073] ; Beijing Postdoctoral Research Foundation ; [PXM2019_178203_00341400]
WOS关键词	POLYCYCLIC AROMATIC-HYDROCARBONS ; HEAVY-METALS ; SOIL PROPERTIES ; CHINA ; PAHS ; OPTIMIZATION ; MANAGEMENT ; SALINITY ; ELEMENTS ; CADMIUM
WOS研究方向	Engineering ; Environmental Sciences & Ecology ; Public, Environmental & Occupational Health ; Water Resources
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000496589200022
资助机构	China Postdoctoral Science Foundation ; Beijing Natural Science Foundation ; Beijing Postdoctoral Research Foundation
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/131987]
专题	中国科学院地理科学与资源研究所
通讯作者	Yang, Sucai
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Environm Protect Res Inst Light Ind, Beijing Key Lab Remediat Ind Pollut Sites, Beijing 100089, Peoples R China
推荐引用方式 GB/T 7714	Qiao, Pengwei,Li, Peizhong,Cheng, Yanjun,et al. Comparison of common spatial interpolation methods for analyzing pollutant spatial distributions at contaminated sites[J]. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH,2019,41(6):2709-2730.
APA	Qiao, Pengwei.,Li, Peizhong.,Cheng, Yanjun.,Wei, Wenxia.,Yang, Sucai.,...&Chen, Tongbin.(2019).Comparison of common spatial interpolation methods for analyzing pollutant spatial distributions at contaminated sites.ENVIRONMENTAL GEOCHEMISTRY AND HEALTH,41(6),2709-2730.
MLA	Qiao, Pengwei,et al."Comparison of common spatial interpolation methods for analyzing pollutant spatial distributions at contaminated sites".ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 41.6(2019):2709-2730.