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Modeling of Chromium, Copper, Zinc, Arsenic and Lead Using Portable X-ray Fluorescence Spectrometer Based on Discrete Wavelet Transform

文献类型： 外文期刊

作者： Li, Fang 1 ; Lu, Anxiang 1 ; Wang, Jihua 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Agr Stand & Testing, Beijing 100097, Peoples R China

2.Beijing Municipal Key Lab Agr Environm Monitoring, Beijing 100097, Peoples R China

3.Minist Agr, Risk Assessment Lab Agroprod Beijing, Beijing 100097, Peoples R China

关键词： X-ray fluorescence;heavy metal;soil;wavelet transform

期刊名称：INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH （ 影响因子：3.39； 五年影响因子：3.789 ）

ISSN： 1660-4601

年卷期： 2017 年 14 卷 10 期

页码：

收录情况： SCI

摘要： A modeling method based on discrete wavelet transform (DWT) was introduced to analyze the concentration of chromium, copper, zinc, arsenic and lead in soil with a portable X-ray fluorescence (XRF) spectrometer. A total of 111 soil samples were collected and observed. Denoising and baseline correction were performed on each spectrum before modeling. The optimum conditions for pre-processing were denoising with Coiflet 3 on the 3rd level and baseline correction with Coiflet 3 on the 9th level. Calibration curves were established for the five heavy metals (HMs). The detection limits were compared before and after the application of DWT, the qualitative detection limits and the quantitative detection limits were calculated to be three and ten times as high as the standard deviation with silicon dioxide (blank), respectively. The results showed that the detection limits of the instrument using DWT were lower, and that they were below national soil standards; the determination coefficients (R-2) based on DWT-processed spectra were higher, and ranged from 0.990 to 0.996, indicating a high degree of linearity between the contents of the HMs in soil and the XRF spectral characteristic peak intensity with the instrument measurement.

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