A study of the mutual influence of global circulation objects by a method of dispersive analysis

This article studies the influence of carbon dioxide in the atmosphere on the yield and quality of grain crops. To make the right estimate the authors have chosen the method of dispersion analysis. The objects of the study are the yield of spring crops in Russia and the yield of spring wheat in the Saratov region. The impact turned out to be statistically significant. It is estimated at 43% for Russia, and 80% for spring wheat (Saratov region). The effect of carbon dioxide on grain quality (protein content) has also been studied. The results were quite uncertain. It was found out that the effect of carbon dioxide on the protein increase in spring wheat was 80% with a small correlation coefficient (0.015). It became obvious that the relationship between the growth of carbon dioxide concentration and grain quality is quite complex and cannot be described by a simple linear relationship, unlike the relationship between CO2 concentration and yield of spring crops. The following important methodological conclusion was made: to make the right conclusion about the effect of carbon dioxide concentration on grain quality using the method of dispersion analysis we need special conditions for the formation of initial samples.

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“…It should be noted that the authors of this article used this technique to assess the mutual influence of circulation structures [6].…”

Section: Methodsmentioning

confidence: 99%

Assessment of carbon dioxide effect on agricultural crops productivity by the method of dispersion analysis

Молчанова¹,

Morosova

Kondakov

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…The essence of this analysis is to compare the "factorial" variance generated by the influence of a factor and the "residual" variance due to other reasons. If the difference between these variances is significant, then the factor has a significant impact on the investigated value [Kolemajev et al, 1991;Morozova et al, 2019].…”

Section: Objects Data and Methodsmentioning

confidence: 99%

“…In practice, sometimes, instead of variances, the sums of squares of deviations are calculated: S x -total sum of squares, S f -factorial sum of squares, S z -residual sum of squares [Alekseev et al, 2000;Vinje, 2001]. The peculiarities of using the variance analysis in order to assess the mutual influence of circulating objects are detailed in [Morozova et al, 2019].…”

Section: Objects Data and Methodsmentioning

confidence: 99%

Arctic anticyclone and its influence on the North Atlantic Oscillation

Morozova

Denisov

Polyankaya

et al. 2022

Russian Journal of Earth Sciences

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This article examines the influence of the permanent center of atmospheric action - the Arctic anticyclone (Arctic High) - on the dynamics of adjacent circulating oscillatory structures - the North Atlantic. Analysis of variance was used to estimate the degree of influence of the Arctic anticyclone on the state of the centers of action of the atmosphere in the North Atlantic. The influence of the Arctic High on the change in the pressure in the Icelandic minimum and Azores maximum is estimated at 48%. This influence showed not statistical significance, confirmed by Fisher's test. The impact of the circulation systems of the North Atlantic on the Arctic anticyclone is estimated at 7%, and is not statistically significant. A statistically significant correlation was found between the intensity of the Arctic High and the intensity of the Icelandic center of atmospheric action. With the strengthening of the Arctic anticyclone, the Icelandic depression deepen. The correlation coefficient were -0.39. This coefficient is statistically significant.

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