IGSNRR OpenIR
Comparison of the common spatial interpolation methods used to analyze potentially toxic elements surrounding mining regions
Ding, Qian1,2; Wang, Yong1; Zhuang, Dafang1
2018-04-15
Source PublicationJOURNAL OF ENVIRONMENTAL MANAGEMENT
ISSN0301-4797
Volume212Pages:23-31
Corresponding AuthorWang, Yong(wangy@igsnrr.ac.cn)
AbstractThe appropriate spatial interpolation methods must be selected to analyze the spatial distributions of Potentially Toxic Elements (PTEs), which is a precondition for evaluating PTE pollution. The accuracy and effect of different spatial interpolation methods, which include inverse distance weighting interpolation (IDW) (power = 1, 2, 3), radial basis function interpolation (RBF) (basis function: thin-plate spline (TPS), spline with tension (ST), completely regularized spline (CRS), multiquadric (MQ) and inverse multi-quadric (IMQ)) and ordinary kriging interpolation (OK) (semivariogram model: spherical, exponential, gaussian and linear), were compared using 166 unevenly distributed soil PTE samples (As, Pb, Cu and Zn) in the Suxian District, Chenzhou City, Hunan Province as the study subject. The reasons for the accuracy differences of the interpolation methods and the uncertainties of the interpolation results are discussed, then several suggestions for improving the interpolation accuracy are proposed, and the direction of pollution control is determined. The results of this study are as follows: (i) RBF-ST and OK (exponential) are the optimal interpolation methods for As and Cu, and the optimal interpolation method for Pb and Zn is RBF-IMQ (ii) The interpolation uncertainty is positively correlated with the PTE concentration, and higher uncertainties are primarily distributed around mines, which is related to the strong spatial variability of PTE concentrations caused by human interference. (iii) The interpolation accuracy can be improved by increasing the sample size around the mines, introducing auxiliary variables in the case of incomplete sampling and adopting the partition prediction method. (iv) It is necessary to strengthen the prevention and control of As and Pb pollution, particularly in the central and northern areas. The results of this study can provide an effective reference for the optimization of interpolation methods and parameters for unevenly distributed soil PTE data in mining areas. (C) 2018 Elsevier Ltd. All rights reserved.
KeywordPotentially Toxic Element Inverse distance weighting interpolation Radial basis function interpolation Ordinary kriging interpolation Uncertainty Mining area
DOI10.1016/j.jenvman.2018.01.074
WOS KeywordYANGTZE-RIVER ESTUARY ; HEAVY-METALS ; RISK-ASSESSMENT ; SOUTH CHINA ; SOILS ; SEDIMENTS ; GEOCHEMISTRY ; CADMIUM ; ZINC ; LEAD
Indexed BySCI
Language英语
Funding ProjectCommon technology of high-resolution earth observation system major, project application[30-Y20A07-9003-17/18] ; Research on Fusion Assimilation and System Integration of Satellite - Air - Ground Multi - source Carbon Emission Monitoring Data[088RA90BYA] ; Research on Technical Specification of High - score Information Metadata[30-Y20A01-9003-16/17]
Funding OrganizationCommon technology of high-resolution earth observation system major, project application ; Research on Fusion Assimilation and System Integration of Satellite - Air - Ground Multi - source Carbon Emission Monitoring Data ; Research on Technical Specification of High - score Information Metadata
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000428097500004
PublisherACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/57267
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Yong
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Ding, Qian,Wang, Yong,Zhuang, Dafang. Comparison of the common spatial interpolation methods used to analyze potentially toxic elements surrounding mining regions[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2018,212:23-31.
APA Ding, Qian,Wang, Yong,&Zhuang, Dafang.(2018).Comparison of the common spatial interpolation methods used to analyze potentially toxic elements surrounding mining regions.JOURNAL OF ENVIRONMENTAL MANAGEMENT,212,23-31.
MLA Ding, Qian,et al."Comparison of the common spatial interpolation methods used to analyze potentially toxic elements surrounding mining regions".JOURNAL OF ENVIRONMENTAL MANAGEMENT 212(2018):23-31.
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