A comprehensive method of source apportionment and ecological risk assessment of soil heavy metals: A case study in Qingyuan city, China
文献类型：期刊论文
| 作者 | Wei, Rongfei; Meng, Zirui; Zerizghi, Teklit; Luo, Jie; Guo, Qingjun |
| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| 出版日期 | 2023-07-15 |
| 卷号 | 882页码:163555 |
| ISSN号 | 1879-1026 |
| 关键词 | Heavy metals Risk assessment Network environ analysis Source apportionment Agricultural soils |
| DOI | 10.1016/j.scitotenv.2023.163555 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The study combined multiple models to provide a deeper understanding to soil heavy metal contamination and source information, which are essential for controlling pollution and reducing human health risks. In this study, the agricultural soils were collected from the Qingyuan City of China as an example. The multiple models (APCS/MLR, PMF, and GDM) were used to identify and quantitatively apportion the main sources of heavy metal pollution in the area. The results showed that Cu (56.4 %), Ni (70.9 %), B (44.5 %), and Cr (72.8 %) were associated with natural sources, such as soil parent material and soil-forming processes. However, Pb (41.2 %), Zn (61.8 %), Hg (67.0 %), and Cd (69.6 %) were associated with agricultural activities, atmospheric deposition, vehicle exhaust emissions, and vehicle tires, while Mo, Se, and Mn were possibly derived from natural sources, including rock weathering and soil parent materials. Additionally, the network of environmental analysis revealed that soil microbes are far more sensitive to soil heavy metal pollution than herbivores, vegetation, and carnivores. This study can serve as a guideline for reducing the ecological and health risks associated with heavy metals in soil by controlling their preferential sources. Environmental implication Combining multiple models is more effective approach to wide understanding of heavy metal contamination and source information, which is essential for controlling pollution and reducing human health risks. Based on multiple models (APCS/MLR, PMF, and GDM) and network environ analysis, a comprehensive method for apportioning soil heavy metal sources and assessing ecological risk had been provided. Further, the present study can be a guideline for reducing ecological and health risks by heavy metals in soil by controlling preferential sources. |
| 学科主题 | Environmental Sciences & Ecology |
| WOS关键词 | POLYCYCLIC AROMATIC-HYDROCARBONS ; NETWORK ENVIRON ANALYSIS ; AGRICULTURAL SOILS ; SPATIAL-DISTRIBUTION ; URBAN SOILS ; HEALTH-RISK ; POLLUTION ; IDENTIFICATION ; CONTAMINATION ; MULTIVARIATE |
| WOS研究方向 | Environmental Sciences & Ecology |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/193830]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 作者单位 | 1.Institute of Geographic Sciences & Natural Resources Research, CAS 2.Guiyang Institute of Geochemistry, CAS 3.Tianjin Normal University 4.Yangtze University 5.Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | Wei, Rongfei,Meng, Zirui,Zerizghi, Teklit,et al. A comprehensive method of source apportionment and ecological risk assessment of soil heavy metals: A case study in Qingyuan city, China[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2023,882:163555. |
| APA | Wei, Rongfei,Meng, Zirui,Zerizghi, Teklit,Luo, Jie,&Guo, Qingjun.(2023).A comprehensive method of source apportionment and ecological risk assessment of soil heavy metals: A case study in Qingyuan city, China.SCIENCE OF THE TOTAL ENVIRONMENT,882,163555. |
| MLA | Wei, Rongfei,et al."A comprehensive method of source apportionment and ecological risk assessment of soil heavy metals: A case study in Qingyuan city, China".SCIENCE OF THE TOTAL ENVIRONMENT 882(2023):163555. |
入库方式： OAI收割
来源：地理科学与资源研究所
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