An integrated method for source apportionment of heavy metal(loid)s in agricultural soils and model uncertainty analysis

doi:10.1016/j.envpol.2021.116666

	An integrated method for source apportionment of heavy metal(loid)s in agricultural soils and model uncertainty analysis
	Wang, Yuntao 1,2; Guo, Guanghui 1,2; Zhang, Degang 1,2; Lei, Mei 1,2
刊名	ENVIRONMENTAL POLLUTION
	2021-05-01
卷号	276 页码:11
关键词	Source apportionment Heavy metals Orchard soils Positive matrix factorization Isotopic ratio analysis
ISSN号	0269-7491
DOI	10.1016/j.envpol.2021.116666
通讯作者	Guo, Guanghui(Guogh@igsnrr.ac.cn)
英文摘要	Elevated concentrations of heavy metals in agricultural soils threatening ecological security and the quality of agricultural products, and apportion their sources accurately is still a challenging task. Multivariate statistical analysis, GIS mapping, Pb isotopic ratio analysis (IRA), and positive matrix factorization (PMF) were integrated to apportion the potential sources of heavy metal(loid)s of orchard soil in Karst-regions. Study region soils were moderately contaminated by Cd. Obvious enrichment and moderate contamination level of Cd were found in study region surface soils, followed by As, Zn, and Pb. Correlation analysis (CA) and principal component analysis (PCA) indicated Ba, Co, Cr, Ni, V were mainly from natural sources, while As, Cd, Cu, Pb, Zn were derived from two kinds of anthropogenic sources. Based on Pb isotope composition, atmospheric deposition and livestock manure were the main sources of soil Pb accumulation. Further source identification and quantification results with PMF model and GIS mapping revealed that soil parent materials (46.44%) accounted for largest contribution to the soil heavy metal(loid)s, followed by fertilizer application (31.37%) and mixed source (industrial activity and manure, 22.19%). Uncertainty analysis indicated that the three-factors solution of PMF model was an optimal explanation and the heavy metal(loid) with lower percentage contributions had higher uncertainty. This study results can help to illustrate the sources of heavy metals more accurately in orchard agricultural soils with a clear expected future for further applications. (C) 2021 Elsevier Ltd. All rights reserved.
资助项目	Guangxi Innovation - driven Development Special Fund Project[AA17204047-2]
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000630774100017
资助机构	Guangxi Innovation - driven Development Special Fund Project
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/162146]
专题	中国科学院地理科学与资源研究所
通讯作者	Guo, Guanghui
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Wang, Yuntao,Guo, Guanghui,Zhang, Degang,et al. An integrated method for source apportionment of heavy metal(loid)s in agricultural soils and model uncertainty analysis[J]. ENVIRONMENTAL POLLUTION,2021,276:11.
APA	Wang, Yuntao,Guo, Guanghui,Zhang, Degang,&Lei, Mei.(2021).An integrated method for source apportionment of heavy metal(loid)s in agricultural soils and model uncertainty analysis.ENVIRONMENTAL POLLUTION,276,11.
MLA	Wang, Yuntao,et al."An integrated method for source apportionment of heavy metal(loid)s in agricultural soils and model uncertainty analysis".ENVIRONMENTAL POLLUTION 276(2021):11.