Inversion of soil heavy metals in Guanzhong area of Shaanxi based on VIS-NIR spectroscopy

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.

• Publication year

  2020

• Venue

  Journal of Physics: Conference Series

• Publication date

  2020-06-01

• Fields of study

  Physics, Environmental Science

• Identifiers
  DOI 10.1088/1742-6596/1549/2/022145
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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