Kriging methods with auxiliary nighttime lights data to detect potentially toxic metals concentrations in soil

doi:10.1016/j.scitotenv.2018.12.330

	Kriging methods with auxiliary nighttime lights data to detect potentially toxic metals concentrations in soil
	Zhen, Jinchun 1,2; Pei, Tao 1,3; Xie, Shuyun 2
刊名	SCIENCE OF THE TOTAL ENVIRONMENT
	2019-04-01
卷号	659 页码:363-371
关键词	Soil pollution Soil mapping Cokriging Regression kriging United Kingdom
ISSN号	0048-9697
DOI	10.1016/j.scitotenv.2018.12.330
通讯作者	Pei, Tao(peit@lreis.ac.cn)
英文摘要	The spatial distribution of potentially toxic metals (PTMs) has been shown to be related to anthropogenic activities. Several auxiliary variables, such as those related to remote sensing data (e.g. digital elevation models, land use, and enhanced vegetation index) and soil properties (e.g. pH, soil type and cation exchange capacity), have been used to predict the spatial distribution of soil PTMs. However, these variables are mostly focused on natural processes or a single aspect of anthropogenic activities and cannot reflect the effects of integrated anthropogenic activities. Nighttime lights (NTL) images, a representative variable of integrated anthropogenic activities, may have the potential to reflect PTMs distribution. To uncover this relationship and determine the effects on evaluation precision, the NTL was employed as an auxiliary variable to map the distribution of PTMs in the United Kingdom. In this study, areas with a digital number (DN) >= 50 and an area > 30 km(2) were extracted from NTL images to represent regions of high-frequency anthropogenic activities. Subsequently, the distance between the sampling points and the nearest extracted area was calculated. Barium, lead, zinc, copper, and nickel concentrations exhibited the highest correlation with this distance. Their concentrations were mapped using distance as an auxiliary variable through three different kriging methods, i.e., ordinary kriging (OK), cokriging (CK), and regression kriging (RK). The accuracy of the predictions was evaluated using the leave-one-out cross validation method. Regardless of the elements, CK and RK always exhibited lower mean absolute error and root mean square error, in contrast to OK. This indicates that using the NTL as the auxiliary variable indeed enhanced the prediction accuracy for the relevant PTMs. Additionally, RK showed superior results in most cases. Hence, we recommend RK for prediction of PTMs when using the NTL as the auxiliary variable. (c) 2018 Elsevier B.V. All rights reserved.
资助项目	National Key Research and Development Program of China[2017YFB0503604] ; National Key Research and Development Program of China[2016YFC0600501] ; National Natural Science Foundation of China (NSFC)[41525004] ; National Natural Science Foundation of China (NSFC)[41421001] ; National Natural Science Foundation of China (NSFC)[41872250] ; Fundamental Research Funds for the Central Universities, China University of Geosciences, Wuhan[CUG170104]
WOS关键词	HEAVY-METALS ; SPATIAL-DISTRIBUTION ; AGRICULTURAL SOILS ; RISK-ASSESSMENT ; URBAN SOILS ; WASTE-WATER ; HEALTH-RISK ; MULTIVARIATE ; REGRESSION ; GIS
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000457293700037
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China (NSFC) ; Fundamental Research Funds for the Central Universities, China University of Geosciences, Wuhan
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/49977]
专题	中国科学院地理科学与资源研究所
通讯作者	Pei, Tao
作者单位	1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.China Univ Geosci, Fac Earth Sci, State Key Lab Geol Proc & Mineral Resources GPMR, Wuhan 430074, Hubei, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Zhen, Jinchun,Pei, Tao,Xie, Shuyun. Kriging methods with auxiliary nighttime lights data to detect potentially toxic metals concentrations in soil[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019,659:363-371.
APA	Zhen, Jinchun,Pei, Tao,&Xie, Shuyun.(2019).Kriging methods with auxiliary nighttime lights data to detect potentially toxic metals concentrations in soil.SCIENCE OF THE TOTAL ENVIRONMENT,659,363-371.
MLA	Zhen, Jinchun,et al."Kriging methods with auxiliary nighttime lights data to detect potentially toxic metals concentrations in soil".SCIENCE OF THE TOTAL ENVIRONMENT 659(2019):363-371.