Quantitative Analysis Method of Soil Elements Combining Sensitivity Dimensionality Reduction and Support Vector Regression

Fusheng Li; Xiaolong Zeng

doi:10.3788/LOP213241

[1] Tepanosyan G, Sahakyan L, Belyaeva O et al. Continuous impact of mining activities on soil heavy metals levels and human health[J]. Science of the Total Environment, 639, 900-909(2018).

[2] Zhang X Y, Zhong T Y, Liu L et al. Impact of soil heavy metal pollution on food safety in China[J]. PLoS One, 10, e0135182(2015).

[3] Huang J H, Guo S T, Zeng G M et al. A new exploration of health risk assessment quantification from sources of soil heavy metals under different land use[J]. Environmental Pollution, 243, 49-58(2018).

[4] Shi J, Li W S, Zhang J M. Comprehensive evaluation of the soil quality and the relationship between biomass and soil elements in two orchards[J]. Xinjiang Agricultural Sciences, 53, 1081-1090(2016).

[5] Lu C P, Lv G, Shi C Y et al. Quantitative analysis of pH value in soil using laser-induced breakdown spectroscopy coupled with a multivariate regression method[J]. Applied Optics, 59, 8582(2020).

[6] Zhao M J, Yan C H, Feng Y Z et al. A novel strategy for quantitative analysis of soil pH via laser-induced breakdown spectroscopy coupled with random forest[J]. Plasma Science and Technology, 22, 074003(2020).

[7] Shard A G, Wright L, Minelli C. Robust and accurate measurements of gold nanoparticle concentrations using UV-visible spectrophotometry[J]. Biointerphases, 13, 061002(2018).

[8] Tekin Z, Unutkan T, Erulaş F et al. A green, accurate and sensitive analytical method based on vortex assisted deep eutectic solvent-liquid phase microextraction for the determination of cobalt by slotted quartz tube flame atomic absorption spectrometry[J]. Food Chemistry, 310, 125825(2020).

[9] Stankey J A, Akbulut C, Romero J E et al. Evaluation of X-ray fluorescence spectroscopy as a method for the rapid and direct determination of sodium in cheese[J]. Journal of Dairy Science, 98, 5040-5051(2015).

[10] Zhou S B, Yuan Z X, Cheng Q M et al. Quantitative analysis of iron and silicon concentrations in iron ore concentrate using portable X-ray fluorescence (XRF)[J]. Applied Spectroscopy, 74, 55-62(2020).

[11] Song H S, Chen Z, Xu D C et al. Prediction of Cr, Mn, and Ni in medium and low alloy steels by GA-BP neural network combined with EDXRF technology[J]. Laser & Optoelectronics Progress, 59, 544-550(2022).

[12] Li F S, Yang W Q, Ma Q et al. X-ray fluorescence spectroscopic analysis of trace elements in soil with an adaboost back propagation neural network and multivariate-partial least squares regression[J]. Measurement Science and Technology, 32, 105501(2021).

[13] Shang D, Sun L X, Qi L F et al. Quantitative analysis of laser-induced breakdown spectroscopy iron ore slurry based on cyclic variable filtering and nonlinear partial least squares[J]. Chinese Journal of Lasers, 48, 2111001(2021).

[14] Schmidt-Hieber J. Nonparametric regression using deep neural networks with ReLU activation function[J]. The Annals of Statistics, 48, 1875-1897(2020).

[15] Li F, Lu A X, Wang J H. Modeling of chromium, copper, zinc, arsenic and lead using portable X-ray fluorescence spectrometer based on discrete wavelet transform[J]. International Journal of Environmental Research and Public Health, 14, 1163(2017).