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Rapid estimation of soil heavy metal nickel content based on optimized screening of near-infrared spectral bands
Qian Lu; Shijie Wang; Xiaoyong Bai; Fang Liu; Shiqi Tian; Mingming Wang; Jinfeng Wang
2019
发表期刊Acta Geochim
页码1-11
摘要

In near-infrared spectroscopy, the traditional feature band extraction method has certain limitations. Therefore, a band extraction method named the three-step extraction method was proposed. This method combines characteristic absorption bands and correlation coefficients to select characteristic bands corresponding to various spectral forms and then uses stepwise regression to eliminate meaningless variables. Partial least squares regression (PLSR) and extreme learning machine (ELM) models were used to verify the effect of the band extraction method. Results show that the differential transformation of the spectrum can effectively improve the correlation between the spectrum and nickel (Ni) content. Most correlation coefficients were above 0.7 and approximately 20% higher than those of other transformation methods. The model effect established by the feature variable selection method based on comprehensive spectral transformation is only slightly affected by the spectral transformation form. In five types of spectral transformation, the RPD values of the proposed method were all within the same level. The RPD values of the PLSR model were concentrated between 1.6 and 1.8, and those of the ELM model were between 2.5 and 2.9, indicating that this method is beneficial for extracting more complete spectral features. The combination of the three-step extraction method and ELM algorithm can effectively retain important bands associated with the Ni content of the soil. The model based on the spectral band selected by the three-step extraction method has better prediction ability than the other models. The ELM model of the first-order differential transformation has the best prediction accuracy (R2 P = 0.923, RPD = 3.634). The research results provide some technical support for monitoring heavy metal content spectrum in local soils.

收录类别EI
语种英语
文献类型期刊论文
条目标识符http://ir.gyig.ac.cn/handle/42920512-1/10563
专题环境地球化学国家重点实验室
作者单位1.State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, 99 Lincheng West Road, Guiyang 550081, Guizhou Province, People’s Republic of China
2.College of Resource and Environment, Guizhou University, Guiyang 550000, China
推荐引用方式
GB/T 7714
Qian Lu,Shijie Wang,Xiaoyong Bai,et al. Rapid estimation of soil heavy metal nickel content based on optimized screening of near-infrared spectral bands[J]. Acta Geochim,2019:1-11.
APA Qian Lu.,Shijie Wang.,Xiaoyong Bai.,Fang Liu.,Shiqi Tian.,...&Jinfeng Wang.(2019).Rapid estimation of soil heavy metal nickel content based on optimized screening of near-infrared spectral bands.Acta Geochim,1-11.
MLA Qian Lu,et al."Rapid estimation of soil heavy metal nickel content based on optimized screening of near-infrared spectral bands".Acta Geochim (2019):1-11.
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