标題：Estimating lead and zinc concentrations in peri-urban agricultural soils through reflectance spectroscopy: Effects of fractional-order derivative and random forest

作者： Hong, YS (Hong, Yongsheng); Shen, RL (Shen, Ruili); Cheng, H (Cheng, Hang); Chen, YY (Chen, Yiyun); Zhang, Y (Zhang, Yong); Liu, YL (Liu, Yaolin); Zhou, M (Zhou, Min); Yu, L (Yu, Lei); Liu, Y (Liu, Yi); Liu, YF (Liu, Yanfang)

來源出版物：SCIENCE OF THE TOTAL ENVIRONMENT 卷：651  part:2頁碼：1969-1982 DOI：10.1016/j.scitotenv.2018.09.391  出版年： FEB 15 2019

摘要：Heavy metal contamination of peri-urban agricultural soil is detrimental to soil environmental quality and human health. A rapid assessment of soil pollution status is fundamental for soil remediation. Heavy metals can be monitored by visible and near-infrared spectroscopy coupled with chemometric models. First and second derivatives are two commonly used spectral preprocessing methods for resolving overlapping peaks. However, these methods may lose the detailed spectral information of heavy metals. Here, we proposed a fractional-order derivative (FOD) algorithm for preprocessing reflectance spectra. A total of 170 soil samples were collected from a typical peri-urban agricultural area in Wuhan City, Hubei Province. The reflectance spectra and lead (Pb) and zinc (Zn) concentrations of the samples were obtained in the laboratory. Two calibration methods, namely, partial least square regression and random forest (RF), were used to establish the relation between the spectral data and the two heavy metals. In addition, we aimed to explore the use of spectral estimation mechanism to predict the Pb and Zn concentrations. Three model evaluation parameters, namely, coefficient of determination (R-2), root mean squared error, and ratio of performance to inter-quartile range (RPIQ), were used. Overall, the spectral reflectance decreased with the increase in Pb and Zn contents. The FOD algorithm gradually removed spectral baseline drifts and overlapping peaks. However, the spectral strength slowly decreased with the increase in fractional order. High fractional-order spectra underwent more spectral noises than low fractional-order spectra. The optimal prediction accuracies were achieved by the 0.25- and 0.5-order reflectance RF models for Pb (validation R-2 = 0.82, RPIQ = 2.49) and Zn (validation R-2 = 0.83, RPIQ = 2.93), respectively. A spectral detection of Pb and Zn mainly relied on their covariation with soil organic matter, followed by Fe. In summary, our results provided theoretical bases for the rapid investigation of Pb and Zn pollution areas in peri-urban agricultural soils.

入藏号：WOS:000450551600031

文獻類型：Article

語種：English

作者關鍵詞： Proximal soil sensing; Soil heavy metal; Spectral derivative; Predictive model; Estimation mechanism

通訊作者地址：Chen, YY; Liu, YF (reprint author), Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

電子郵件地址：chenyy@whu.edu.cn; yfliu610@sina.com

地址：

[Hong, Yongsheng; Cheng, Hang; Chen, Yiyun; Liu, Yaolin; Zhou, Min; Liu, Yi; Liu, Yanfang] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
[Hong, Yongsheng; Cheng, Hang; Chen, Yiyun; Liu, Yi] Chinese Acad Sci, State Key Lab Soil & Sustainable Agr, Nanjing 210008, Jiangsu, Peoples R China.
[Shen, Ruili] Hubei Acad Environm Sci, Wuhan 430072, Hubei, Peoples R China.
[Zhang, Yong] Anhui Univ Finance & Econ, Sch Publ Finance & Adm, Bengbu 233030, Peoples R China.
[Yu, Lei] Cent China Normal Univ, Sch Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
[Yu, Lei] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Hubei, Peoples R China.

影響因子：4.61