REGRESSION MODELS OF ACID-BASE PROPERTIES OF PEAT SWAMPS AS OPERATIONAL CRITERIA FOR THEIR CHEMICAL CLASSIFICATION
T. T. Efremova, A. F. Avrova
Federal Research Center Krasnoyarsk Scientific Center of SB RAS, Krasnoyarsk, Russia
Keywords: болота, торфяные почвы, кислотность среды, обменные основания, диагностика, парный регрессионный анализ, swamps, peat soil, acidity, exchange bases, diagnostics, paired regression analysis
Abstract
The quantitative relationships of active acidity (pHH2O) of peat soils with the value of exchange acidity (pHKCl), nonexchangeble (total potential) acidity (1M CH3COONa extract), and the content of exchange cations and alkaline-earth bases, as well as the degree of bases saturation were established by the type of linear function. The coefficients of the regression equations are given. Using independent data, we proved the high predictive capability of regression models. Using the regression equations eliminates the time-consuming execution of analytical works, which allows to quickly classification the wetlands and peat soils on the chemical principle - saturation of alkaline-earth bases and pH value. The indicator role of the botanical composition may be credible provided the low peat decomposition degree and special knowledge of morphology and anatomy of sphagnum mosses and vascular bog plants.
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