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Source identification, spatial distribution pattern, risk assessment and influencing factors for soil heavy metal pollution in a high-tech industrial development zone in Central China

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成果类型:
期刊论文
作者:
Chen, Boyao;Liu, Kaili;Liu, Yulin;Qin, Jun;Peng, Zhonghua*
通讯作者:
Peng, Zhonghua
作者机构:
[Qin, Jun; Chen, Boyao; Peng, Zhonghua] Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha 410004, Peoples R China.
[Liu, Kaili] Cent South Univ Forestry & Technol, Coll Forestry, Changsha, Peoples R China.
[Liu, Yulin] Hunan Univ Technol, Zhuzhou, Peoples R China.
通讯机构:
[Peng, Zhonghua] C
Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha 410004, Peoples R China.
语种:
英文
关键词:
Source identification;image segmentation;pollution assessment;high-tech industrial development zone;spatial distribution
期刊:
Human and Ecological Risk Assessment
ISSN:
1080-7039
年:
2021
卷:
27
期:
2
页码:
560-574
基金类别:
This work was supported by Hunan Provincial Innovation Foundation for Postgraduate of China (CX2018B446) and the Scientific Innovation Fund for Graduate of Central South University of Forestry and Technology of China (20183006) and Key Disciplines of the State Forestry Administration of China (2016 No. 21).
机构署名:
本校为第一且通讯机构
院系归属:
林学院
风景园林学院
摘要:
We determined the spatial distribution pattern, source, risk level and influencing factor of heavy metal pollution in a typical high-tech industrial development zone of Changsha, China. A total of 123 topsoil samples were excavated from 11 different land-uses. Quite strong pollution (Nemerow) occurred in the whole zone. The Igeo pollution levels were from slight to strong for these elements. Four primary components were extracted from PCA with 79.36% of total variance explained. It could be deduced from the primary components that Cu, Co, Ni normally resulted from electronic industry; As and C...

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