Identifying factors that influence soil heavy metals by using categorical regression analysis: A case study in Beijing, China
文献类型：期刊论文
| 作者 | Yang, Jun; Wang, Jingyun; Qiao, Pengwei; Zheng, Yuanming; Yang, Junxing; Chen, Tongbin; Lei, Mei; Wan, Xiaoming; Zhou, Xiaoyong |
| 刊名 | FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING
 |
| 出版日期 | 2020-01-22 |
| 卷号 | 14期号:3页码:1-5 |
| 关键词 | Soil Heavy metal Influencing factor Categorical regression Identification method |
| ISSN号 | 2095-2201 |
| 英文摘要 | Identifying the factors that influence the heavy metal contents of soil could reveal the sources of soil heavy metal pollution. In this study, a categorical regression was used to identify the factors that influence soil heavy metals. First, environmental factors were associated with soil heavy metal data, and then, the degree of influence of different factors on the soil heavy metal contents in Beijing was analyzed using a categorical regression. The results showed that the soil parent material, soil type, land use type, and industrial activity were the main influencing factors, which suggested that these four factors were important sources of soil heavy metals in Beijing. In addition, population density had a certain influence on the soil Pb and Zn contents. The distribution of soil As, Cd, Pb, and Zn was markedly influenced by interactions, such as traffic activity and land use type, industrial activity and population density. The spatial distribution of soil heavy metal hotspots corresponded well with the influencing factors, such as industrial activity, population density, and soil parent material. In this study, the main factors affecting soil heavy metals were identified, and the degree of their influence was ranked. A categorical regression represents a suitable method for identifying the factors that influence soil heavy metal contents and could be used to study the genetic process of regional soil heavy metal pollution. (C) Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/45118]  |
| 专题 | 生态环境研究中心_土壤环境科学实验室 |
| 推荐引用方式 GB/T 7714 | Yang, Jun,Wang, Jingyun,Qiao, Pengwei,et al. Identifying factors that influence soil heavy metals by using categorical regression analysis: A case study in Beijing, China[J]. FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING,2020,14(3):1-5. |
| APA | Yang, Jun.,Wang, Jingyun.,Qiao, Pengwei.,Zheng, Yuanming.,Yang, Junxing.,...&Zhou, Xiaoyong.(2020).Identifying factors that influence soil heavy metals by using categorical regression analysis: A case study in Beijing, China.FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING,14(3),1-5. |
| MLA | Yang, Jun,et al."Identifying factors that influence soil heavy metals by using categorical regression analysis: A case study in Beijing, China".FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING 14.3(2020):1-5. |
入库方式： OAI收割
来源：生态环境研究中心
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。