Abstract:
The article considers the application of statistical data processing methods to analyze the dynamics of changes in the number of birds on the territory of the Botievskaya wind power plant and in buffer zones during its operation from 2013 to 2021 inclusive. At the first stage of the analysis, the possibility of erroneous measurements or abnormal values that fell out of general statistical patterns was checked, for which the Irwin method was used. As a result of the verification, some of the data was withdrawn from further consideration. At the second stage, the possibility of correlating the adjusted number of birds on the territory of the wind farm with the times of its operation in different seasons was tested. The significance of the correlation coefficients was checked using the Student's T-test. The calculated criterion value for the winter season is $-0.062$, which indicates that the number of birds does not depend on the time of operation. The Student's criteria for the spring, nesting, and autumn seasons and the total number of birds for the entire year ranged from $2,77$ to $5,12$, which is more than the critical value of $2,45$ for the $5\%$ significance level. Therefore, in this case, we can talk about the dependence, which was presented in the form of regression equations: $x=8935,5-838,2t$ (spring season), $x=4040,8-374,7t$ (breeding season), $x=6954,8-519,1t$ (autumn season), $x=22782,3-2022,8t$ (total population).
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