KMS Institute Of Geographic Sciences And Natural Resources Research,CAS
| Source and path identification of metals pollution in a mining area by PMF and rare earth element patterns in road dust | |
Tian, Shuhan1,2; Liang, Tao1,2 ; Li, Kexin1,2; Wang, Lingqing1,2
| |
| 2018-08-15 | |
| Source Publication | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| ISSN | 0048-9697 |
| Volume | 633Pages:958-966 |
| Corresponding Author | Liang, Tao(liangt@igsnrr.ac.cn) ; Li, Kexin(likx@igsnrr.ac.cn) |
| Abstract | 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. |
| Keyword | REEs Mining contamination Quantification Pollution path |
| DOI | 10.1016/j.scitotenv.2018.03.227 |
| WOS Keyword | HEALTH-RISK ASSESSMENT ; ATMOSPHERIC PARTICULATE MATTER ; DIFFERENT FUNCTIONAL AREAS ; HEAVY-METALS ; BAYAN OBO ; INNER-MONGOLIA ; SEDIMENT PROVENANCES ; SPATIAL-DISTRIBUTION ; EXHAUST EMISSIONS ; FUJIAN PROVINCE |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[41571473] ; National Natural Science Foundation of China[41401591] |
| Funding Organization | National Natural Science Foundation of China |
| WOS Research Area | Environmental Sciences & Ecology |
| WOS Subject | Environmental Sciences |
| WOS ID | WOS:000432475300092 |
| Publisher | ELSEVIER SCIENCE BV |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.igsnrr.ac.cn/handle/311030/54799 |
| Collection | 中国科学院地理科学与资源研究所 |
| Corresponding Author | Liang, Tao; Li, Kexin |
| Affiliation | 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 |
| Recommended Citation 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. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment