Open AccessAssessment of the influence of carbonate samples on the spatial heterogeneity of soil properties prediction by ATR-FTIR spectrometry in arable chernozem
Author(s) -
Р. В. Окунев,
Е. В. Смирнова,
K. G. Giniyatullin,
R G Kadyrova
Publication year - 2022
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/979/1/012178
Subject(s) - chernozem , carbonate , soil test , chemistry , fourier transform infrared spectroscopy , soil water , soil science , environmental science , mineralogy , environmental chemistry , chemical engineering , organic chemistry , engineering
The introduction of fertilizers differentiated application system and the deterioration of the ecological state of the environment contributes to an increase in the frequency of soil properties examination. However, due to the high cost of classical physical and chemical methods of analysis, they are gradually being replaced by low-cost methods of soil properties prediction, such as ATR-FTIR spectrometry. IR spectrometric methods of analysis are also having disadvantages, one of which is the carbonate content in the material of arable horizons. In this work, the influence of carbonate samples of arable horizons on prediction of a number soil property by ATR-FTIR spectrometry was investigated. The set of samples from a field of 313 hectares with a predominance of leached chernozem was divided into carbonate and carbonate-free. The spectra of the samples in the range 4000-660 cm -1 with a spectral resolution of 4 cm -1 were obtained. To reveal the possible influence of carbonate samples on the prediction of the studied properties by ATR-IR spectrometry, linear regression models were constructed separately for the all samples (59 samples), for non-carbonate (41 samples) and carbonate samples (18 samples) separately. Then the results of linear regression were compared with each other. It has been shown that the presence of carbonate samples can significantly affect the prediction of some soil parameters. The presence of carbonate samples enhances the relationship between the spectral areas characterizing the mineral part of the soil and cation exchange capacity, increases the negative relationship of the areas characterizing the soil organic matter with the sand fraction, and the prediction accuracy increases for soil pH. However, the presence of carbonates negatively affects to the prediction of hydrolyzable nitrogen and fractions <0.01 mm content.