Identifying factors that influence soil heavy metals by using categorical regression analysis:A case study in Beijing,China

	Identifying factors that influence soil heavy metals by using categorical regression analysis:A case study in Beijing,China
	Jun Yang 1; Jingyun Wang 1; Pengwei Qiao 3; Yuanming Zheng 2; Junxing Yang 1; Tongbin Chen 1; Mei Lei 1; Xiaoming Wan 1; Xiaoyong Zhou 1
刊名	环境科学与工程前沿(英文)
	2020
卷号	14.0 期号:003 页码:1
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.
资助项目	[National Natural Science Foundation of China] ; [Science and Technology Service Network Initiative (STS) from the Chinese Academy of Sciences]
语种	英语
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/155953]
专题	中国科学院地理科学与资源研究所
作者单位	1.Center for Environmental Remediation,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences 2.中国科学院生态环境研究中心 3.Beijing Key Laboratory of Remediation of Industrial Pollution Sites,Environmental Protection Research Institute of Light Industry 4.中国科学院大学
推荐引用方式 GB/T 7714	Jun Yang,Jingyun Wang,Pengwei Qiao,et al. Identifying factors that influence soil heavy metals by using categorical regression analysis:A case study in Beijing,China[J]. 环境科学与工程前沿(英文),2020,14.0(003):1.
APA	Jun Yang.,Jingyun Wang.,Pengwei Qiao.,Yuanming Zheng.,Junxing Yang.,...&Xiaoyong Zhou.(2020).Identifying factors that influence soil heavy metals by using categorical regression analysis:A case study in Beijing,China.环境科学与工程前沿(英文),14.0(003),1.
MLA	Jun Yang,et al."Identifying factors that influence soil heavy metals by using categorical regression analysis:A case study in Beijing,China".环境科学与工程前沿(英文) 14.0.003(2020):1.