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Assessment of Anthropogenic Sources of Potentially Toxic Elements in Soil from Arable Land Using Multivariate Statistical Analysis and Random Forest Analysis

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成果类型:
期刊论文
作者:
Huang, He;Zhou, Yong*;Liu, Yujie;Li, Ke;Xiao, Liang;...
通讯作者:
Zhou, Yong
作者机构:
[Xiao, Liang; Li, Mengyao; Huang, He; Li, Ke; Wu, Fei; Zhou, Yong; Tian, Yang; Liu, Yujie] Cent China Normal Univ, Fac Urban & Environm Sci, Wuhan 430079, Peoples R China.
通讯机构:
[Zhou, Yong] C
Cent China Normal Univ, Fac Urban & Environm Sci, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
arable land;potentially toxic elements;anthropogenic source identification;multivariate statistical analysis;random forest analysis
期刊:
Sustainability
ISSN:
2071-1050
年:
2020
卷:
12
期:
20
基金类别:
Classification project of soil environmental quality of cultivated land in Xiangzhou
机构署名:
本校为第一且通讯机构
院系归属:
城市与环境科学学院
摘要:
In order to study the spatial distribution and anthropogenic sources of potentially toxic elements in Xiangzhou, soil samples were collected from arable land and were analyzed for five different potentially toxic elements: Cd, Hg, As, Pb, and Cr. Inverse distance weighting (IDW) was used to study the spatial distribution of potentially toxic elements in the soil, while principal component analysis (PCA) and random forest analysis (RFA) were applied to examine the anthropogenic sources. It was shown that the combination of multiple analysis tools provides an effective way of delineating multipl...

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