Open AccessInversion of soil heavy metals in Guanzhong area of Shaanxi based on VIS-NIR spectroscopy
Author(s) -
Tong Wei,
Jinbao Liu,
Liangjun Fei,
Zenghui Sun
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1549/2/022145
Subject(s) - partial least squares regression , inversion (geology) , research object , heavy metals , transformation (genetics) , calibration , spectroscopy , manganese , analytical chemistry (journal) , spectrometer , spectral line , soil science , environmental science , mineralogy , materials science , chemistry , mathematics , geology , environmental chemistry , physics , optics , metallurgy , statistics , geomorphology , geography , quantum mechanics , biochemistry , structural basin , regional science , astronomy , gene
This study takes soil Cr, Mn, Ni and Cu from the Guanzhong area as the research object. Using the ASD Fieldspec4 spectrometer to acquire soil spectra and perform different forms of data transformation, and partial least squares regression (PLSR) method was used to establish the calibration-validation model. The results indicated: (i) after the differentiation of the spectrum and the transformation of MSC, NOR, SNV, etc., the signal response strength is enhanced; (ii) The determination coefficients of Cr, Mn, Ni, and Cu are 0.7002, 0.7852, 0.6857, and 0.8036, respectively; (iii) The results show that the spectral predictive model have quickly obtain the distribution of heavy metals in the study area.