Luo Ying, Wang Zhe, Zhang Zhen-Long, Huang Feng-Yu, Jia Wen-Jing, Zhang Jia-Qian, Feng Xi-Yang
College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan, 621010, China.
School of Environment and Resources, Xichang University, Xichang, Sichuan, 615000, China.
Environ Sci Pollut Res Int. 2023 Jan;30(3):7813-7824. doi: 10.1007/s11356-022-22744-z. Epub 2022 Aug 31.
More accurate source analysis of potentially toxic elements (PTEs) in atmospheric fallout that endanger biodiversity and human health remains needed. This study determined the concentrations of seven PTEs, including Pb, Cd, As, Cu, Zn, Ni, and Cr, by inductively coupled plasma mass spectrometry (ICP-MS), and the sources of PTE pollution were quantified using multivariate statistical analysis, including principal component analysis (PCA), cluster analysis (CA), and Pearson correlation analysis, and Moran index was applied for mutual verification and supplementation. PCA and CA revealed that the same mixed sources of Pb, Cd, As, Cu, and Zn were found in the atmospheric dust fall in the study area, while Ni and Cr had the same source of pollution. Pearson correlation analysis provided that there were strong correlations between Pb-Cd, Pb-As, Pb-Cu, Cd-As, Cd-Cu, As-Cu, and Ni-Cr, indicating commonality between the two sources of heavy metal pollution. Additionally, the Moran index showed that strong spatial correlations were observed between Pb, Cd, As, Cu, and Zn, whose sources were mainly related to non-ferrous metal processing smelter smelting slag sites and an environmental company in the study area. However, no spatial correlation was found between Ni and Cr, which mainly originated from the local geological background.
仍需要对危害生物多样性和人类健康的大气降尘中的潜在有毒元素(PTEs)进行更准确的源分析。本研究采用电感耦合等离子体质谱法(ICP-MS)测定了包括铅(Pb)、镉(Cd)、砷(As)、铜(Cu)、锌(Zn)、镍(Ni)和铬(Cr)在内的七种PTEs的浓度,并运用主成分分析(PCA)、聚类分析(CA)和皮尔逊相关分析等多元统计分析方法对PTEs污染来源进行了量化,同时应用莫兰指数进行相互验证和补充。PCA和CA结果表明,研究区域大气降尘中铅、镉、砷、铜和锌具有相同的混合污染源,而镍和铬具有相同的污染来源。皮尔逊相关分析表明,铅-镉、铅-砷、铅-铜、镉-砷、镉-铜、砷-铜以及镍-铬之间存在强相关性,这表明两种重金属污染来源具有共性。此外,莫兰指数表明,铅、镉、砷、铜和锌之间存在强空间相关性,其来源主要与研究区域内的有色金属加工冶炼厂的冶炼渣场和一家环境公司有关。然而,镍和铬之间未发现空间相关性,它们主要源自当地地质背景。