Source and path identification of metals pollution in a mining area by PMF and rare earth element patterns in road dust

doi:10.1016/j.scitotenv.2018.03.227

	Source and path identification of metals pollution in a mining area by PMF and rare earth element patterns in road dust
	Tian, Shuhan 1,2; Liang, Tao 1,2; Li, Kexin 1,2; Wang, Lingqing 1,2
刊名	SCIENCE OF THE TOTAL ENVIRONMENT
	2018-08-15
卷号	633 页码:958-966
关键词	REEs Mining contamination Quantification Pollution path
ISSN号	0048-9697
DOI	10.1016/j.scitotenv.2018.03.227
通讯作者	Liang, Tao(liangt@igsnrr.ac.cn) ; Li, Kexin(likx@igsnrr.ac.cn)
英文摘要	To better assess pollution and offer efficient protection for local residents, it is necessary to both conduct an exhaustive investigation into pollution levels and quantify its contributing sources and paths. As it is the biggest light rare earth element (REE) reserve in the world, Bayan Obo deposit releases large amounts of heavy metals into the surrounding environment. In this study, road dust from zones located at different distances to the mining area was collected and sieved using seven sizes. This allowed for subsequent analysis of size-dependent influences of mining activities. A receptor model was used to quantitatively assess mine contributions. REE distribution patterns and other REE parameters were compared with those in airborne particulates and the surrounding soil to analyze pollution paths. Results showed that 27 metals were rated as moderately to extremely polluted (2 < geo-accumulation index < 6) in both mine processing and residential areas. REEs are the most polluted elements, followed by Mo, Cd, Pb, and Ag. Although mining contribution to pollution levels increased with decreasing distance and size, 35% of REEs and 6% of other polluted metals in residential area road dust originated directly from the mine. The provenance index (PI) calculated using the REE parameters confirmed this result. While the REE distribution pattern showed that airborne particulates may not be the path for mining-derived particles, they may be one for other sources. (C) 2018 Published by Elsevier B.V.
资助项目	National Natural Science Foundation of China[41571473] ; National Natural Science Foundation of China[41401591]
WOS关键词	HEALTH-RISK ASSESSMENT ; ATMOSPHERIC PARTICULATE MATTER ; DIFFERENT FUNCTIONAL AREAS ; HEAVY-METALS ; BAYAN OBO ; INNER-MONGOLIA ; SEDIMENT PROVENANCES ; SPATIAL-DISTRIBUTION ; EXHAUST EMISSIONS ; FUJIAN PROVINCE
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000432475300092
资助机构	National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/54798]
专题	中国科学院地理科学与资源研究所
通讯作者	Liang, Tao; Li, Kexin
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 10049, Peoples R China
推荐引用方式 GB/T 7714	Tian, Shuhan,Liang, Tao,Li, Kexin,et al. Source and path identification of metals pollution in a mining area by PMF and rare earth element patterns in road dust[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2018,633:958-966.
APA	Tian, Shuhan,Liang, Tao,Li, Kexin,&Wang, Lingqing.(2018).Source and path identification of metals pollution in a mining area by PMF and rare earth element patterns in road dust.SCIENCE OF THE TOTAL ENVIRONMENT,633,958-966.
MLA	Tian, Shuhan,et al."Source and path identification of metals pollution in a mining area by PMF and rare earth element patterns in road dust".SCIENCE OF THE TOTAL ENVIRONMENT 633(2018):958-966.