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Near infrared spectra and soft independent modelling of class analogy for discrimination of Chernozems, Luvisols and Vertisols

机译:近红外光谱和类比的软独立建模,用于区分黑藜芦,Luvisols和Vertisols

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摘要

The objective of the present study was to use near infrared diffuse reflectance spectroscopy and chemometrics to distinguish three major soil types in Bulgaria - Chernozems, Luvisols and Vertisols. The diffuse reflectance spectra of 78 air-dried and sieved soil samples collected from grasslands and arable agricultural lands and classified as Chernozems, Luvisols and Vertisols were obtained in the spectral range 700-2500 nm. Second-derivative transformation of soil and clay spectra was performed in order to find soil spectral differences based on the clay minerals content. Soft independent modelling of class analogy (SIMCA) was performed to classify samples according to their classes. Results show that the samples can be distinguished according to their classes as the SIMCA models correctly classified 100% of the samples in both calibration and validation sets. According to the discrimination power parameter of the SIMCA procedure, the most important wavelengths in the classification models of Chernozem, Luvisol and Vertisol soils were related to the content of clay minerals such as kaolinite and montmorillonite, smectite minerals, organic matter and carbonates.
机译:本研究的目的是使用近红外漫反射光谱法和化学计量学来区分保加利亚的三种主要土壤类型-黑钙土,Luvisols和Vertisols。在700-2500 nm的光谱范围内,获得了从草地和耕地收集的78种风干和筛分的土壤样品的扩散反射光谱,这些样品被分类为黑钙土,Luvisols和Vertisols。为了发现基于粘土矿物质含量的土壤光谱差异,进行了土壤和粘土光谱的二阶导数转换。进行了类比的软独立建模(SIMCA),以根据样本的类别对样本进行分类。结果表明,由于SIMCA模型在校准和验证集中正确分类了100%的样品,因此可以根据样品的类别对其进行区分。根据SIMCA程序的判别力参数,黑钙土,Luvisol和Vertisol土壤分类模型中最重要的波长与粘土矿物(如高岭石和蒙脱石),蒙脱石矿物,有机质和碳酸盐的含量有关。

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