标题：Estimating heavy metal concentrations in suburban soils with reflectance spectroscopy
作者： Cheng, Hang; Shen, Ruili; Chen, Yiyun; Wan, Qijin; Shi, Tiezhu; Wang,Junjie; Wan, Yuan; Hong, Yongsheng; Li, Xiaocui
来源出版物： GEODERMA 卷：336 页码：59-67 DOI：10.1016/j.geoderma.2018.08.010 出版年：FEB 15 2019
摘要：Soil contamination by heavy metals has become a serious environmental issue worldwide. Rapidly and reliably obtaining heavy metal concentrations in soil is vital for soil monitoring and remediation. Visible and near infrared reflectance (VNIR) spectroscopy provides a promising method for the estimation of heavy metal concentrations over large areas. Ninety-three soil samples were collected from a suburb of Wuhan City, Hubei Province, China, and their reflectance spectra were measured in the laboratory. This study aimed to (i) examine the feasibility of using soil reflectance spectra to estimate the concentrations of Cd, Pb, As, Cr, Cu and Zn in suburban soils; (ii) compare the performances of different spectral pretreatments and (iii) explore the mechanism underlying the estimation of heavy metal concentration from VNIR spectra. In particular, we proposed a strategy for the mechanism investigation that combined PCA biplot analysis, correlation and partial correlation analyses. Partial least-square regression was adopted to calibrate the VNIR model. Results showed that the VNIR model provided acceptable estimation accuracies for Cr, As and Cd concentrations with the ratio of the performance to deviation (RPD) values of 2.70, 1.81 and 1.63, respectively, but unsatisfactory estimation accuracies for Pb, Cu and Zn concentrations with the RPD values of 0.70-1.03. Savitzky-Golay smoothing outperformed other spectral pretreatments. The mechanisms underlying the estimation of the six studied heavy metals varied on a case-to-case basis. Specifically, the spectral estimation of Cd (Group I) concentration was attributed to its close correlations with soil organic matter (SOM). Cr and As (Group II) concentrations could be estimated by the VNIR model on the basis of their close correlations with Fe. Pb, Cu and Zn (Group III) concentrations, however, had weak correlations with neither SOM nor Fe, resulting in poor estimations. The proposed strategy on mechanism investigation for heavy metals could be transferred to other study areas. In summary, VNIR spectroscopy combined with the PLSR model is an alternative method for the rapid monitoring of some heavy metal pollution in suburban soils.
作者关键词： Soil heavy metal; VNIR spectroscopy; Partial correlation analysis; PCA biplot analysis; Estimation mechanism
通讯作者地址： Chen, YY (reprint author), Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
Wan, QJ (reprint author), Wuhan Inst Technol, Sch Chem & Environm Engn, Wuhan 430073, Hubei, Peoples R China.
[Cheng, Hang; Chen, Yiyun; Hong, Yongsheng; Li, Xiaocui] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
[Cheng, Hang; Chen, Yiyun] Chinese Acad Sci, State Key Lab Soil & Sustainable Agr, Nanjing 210008, Jiangsu, Peoples R China.
[Cheng, Hang; Wan, Qijin] Wuhan Inst Technol, Sch Chem & Environm Engn, Wuhan 430073, Hubei, Peoples R China.
[Shen, Ruili] Hubei Acad Environm Sci, Wuhan 430072, Hubei, Peoples R China.
[Chen, Yiyun] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Hubei, Peoples R China.
[Shi, Tiezhu; Wang, Junjie] Shenzhen Univ, Coll Life Sci & Oceanog, Shenzhen 518060, Peoples R China.
[Wan, Yuan] Hubei Normal Univ, Coll Urban & Environm Sci, Huangshi 435002, Peoples R China.
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