Dr. Yanwei Yang Profile

Dr. Yanwei Yang

at North Univ of China

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Publications (3)

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Proceedings Article | 20 January 2023 Paper

Classification of soil by laser-induced breakdown spectroscopy combined with PCA-RF

Haoyu Jin, Xiaojian Hao, Yanwei Yang, Yekun Liu, Peng Sun

Proceedings Volume 12558, 1255809 (2023) https://doi.org/10.1117/12.2651371

KEYWORDS: Laser induced breakdown spectroscopy, Principal component analysis, Soil science, Spectroscopy, Machine learning

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The development of heavy metal mining area will pollute the surrounding soil and do great harm to the ecological environment and human health. Soil classification in different mining areas is of great significance to soil management and environmental pollution control. Soil is easily affected by matrix effect due to its complex physical properties and composition. Thus, accurately classifying soils is a challenge. Laser-induced breakdown spectroscopy has developed rapidly in the past two decades. It has been widely used in the detection of various physical samples due to its characteristics of fast analysis speed and no need for sample pretreatment. However, traditional LIBS technology has disadvantages such as low sensitivity, obvious noise and poor repeatability, which affect the accuracy of quantitative analysis. In this paper, a soil classification method based on principal component analysis (PCA) based laser-induced breakdown spectroscopy (LIBS) and random forest (RF) algorithm was proposed, and the standard soil samples from six different mining areas were accurately identified and classified. The final prediction results based on this combination show that the accuracy of soil classification by PCA-RF machine learning model can reach 97.86%. From the aspect of classification accuracy, it can be found that laser-induced breakdown spectroscopy combined with PCA-RF can achieve rapid and accurate classification of soil in different mining areas, which also provides a new method for soil classification in heavy metal mining areas.

Proceedings Article | 9 October 2021 Poster + Presentation + Paper

Effect of baseline correction on the quantitative analysis of soil LIBS

Peng Sun, Xiaojian Hao, Yanwei Yang, Yekun Liu, Wenyuan Hao, Yu Tian

Proceedings Volume 11904, 119040Z (2021) https://doi.org/10.1117/12.2600059

KEYWORDS: Laser induced breakdown spectroscopy, Quantitative analysis, Spectroscopy, Soil science, Magnesium, Statistical modeling, Statistical analysis, Laser spectroscopy, Laser induced damage, Plasma

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Laser induced breakdown spectroscopy (LIBS) is an analysis technique based on laser plasma atomic emission spectroscopy. Because of its speed, non-destructive and high sensitivity, it is widely used in various fields. In order to study the laser-induced breakdown spectra of heavy metals and non-metal elements in the soil, and solve the problem of low accuracy of LIBS quantitative analysis due to spectral baseline drift, an Adaptive Iterative Re-weighted Partial Least Squares (air-PLS) baseline correction method is proposed to improve the accuracy of LIBS quantitative analysis. In this paper, 8 kinds of standard soil samples are used, 2 grams of each were extracted and placed in a tableting mold, using a 20MPa hydraulic press to form a smooth sheet with a diameter of 30mm and a thickness of 3mm for use. The laser energy was set to 30mJ, and the pulse repetition frequency was set to 5Hz. Plasma spectral lines of metal element Mg of different samples were obtained through experiments, and linear PLS was used to model and analyze the original spectrum and the spectrum after baseline correction respectively. Experimental results show that the accuracy of LIBS quantitative analysis is greatly improved after baseline correction. After using the method described in this article for baseline correction, the coefficient of determination R² increased from 0.9553 to 0.9858, and the root mean square error RMSEC decreased from 1.5610 to 0.8571. The accuracy of LIBS quantitative analysis has been significantly improved. The study of this technology can provide guidance for the quantitative analysis of Mg and other elements in the soil.

Proceedings Article | 10 October 2020 Poster + Presentation + Paper

Effect of cavity confinement on the enhancement of LIBS spectra in soil

Yekun Liu, Xiaojian Hao, Yanwei Yang, Ran Sun, Wenyuan Hao

Proceedings Volume 11557, 1155718 (2020) https://doi.org/10.1117/12.2575751

KEYWORDS: Laser induced breakdown spectroscopy, Plasma, Laser induced damage, Laser spectroscopy, Spectroscopy, Metals, Nonmetals, Soil science, Barium, Silicon

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Laser induced breakdown spectroscopy(LIBS)was an analysis technique based on laser plasma atomic emission spectroscopy. Because of its fast, non-destructive and high sensitivity, it was widely used in various fields. In order to study the laser induced breakdown spectra of heavy metal element and non-metal element in the soil, A method based on traditional laser induced breakdown spectroscopy (LIBS) technology with cavity constraints was proposed to improve the plasma emission spectrum. In this paper, the cylindrical aluminum cavity with the diameter of 2mm, 3mm, 4mm, 5mm, and 6mm at the same thickness were placed on the surface of the soil sample, the laser energy was set to 30mJ, and the pulse repetition frequency was set to 5Hz. The plasma lines of heavy metal element (Ba II 455.4nm) and non-metal element (Si I 288.158nm) under different cavity constraints were obtained, and the enhancement factor and signal-to-noise ration(SNR)of these two characteristic lines under different diameter cavity constraints were studied. The experimental results show that the plasma line has a certain enhancement under the condition of cavity restriction than without cavity restriction. As the diameter of the circular cavity increases, the enhancement factor tends to increase first and then decrease, and the spectral enhancement effect is the best when the diameter is 5mm. The change trend of the signal-to-noise ratio is consistent with the enhancement factor, which reaches the maximum when the cavity diameter is 5 mm. The study of this technology can provide guidance for the qualitative analysis of Ba and Si elements in soil.

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