Quantum fitometeorology: factor analysis of the three-hour measurements of four meteorological parameters during the vegetation periods 2012-2018
International Journal of Development Research
Quantum fitometeorology: factor analysis of the three-hour measurements of four meteorological parameters during the vegetation periods 2012-2018
Received 09th October, 2019; Received in revised form 21st November, 2019; Accepted 16th December, 2019; Published online 29th January, 2020
Copyright © 2020, Paula C. C. Lima et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Text of annotation. Factor analysis of three-hour dynamics from 01.01.2012 to 31.10.2018 of four meteorological parameters: atmospheric pressure; air temperature; relative humidity; dew point temperature was carried out by the method of identification (weather station Yoshkar-Ola, Russia, WMO_ID=27485).Power selection when accounting periods of the growing season of birch from 01.05 till 30.09 made 8558 instead 19713 lines in comparison with the continuous series, while there have been significant changes in the laws. The coefficient of correlative variation became equal to 0.3887, which is less in comparison with the full range of data 0.4583. The rating of factors stood on influencing variables equally with a full range: on the first place there is an air temperature, and on the second – dew point temperature. But according to the dependent indicators, due to the introduction of the periodicity of the birch vegetation, the dew point temperature comes first. According to the first wavelet for 7 years of birch vegetation, the oscillatory disturbance in the amplitude of the relative humidity of the air decreases, and for the other three meteorological parameters – increases. The second wavelet gives a decrease in the amplitude in the dynamics of the air temperature, and other meteorological parameters are increased. The countdown of the growing season increases the importance of air pressure. The first wavelet has a one-year oscillation cycle, but it increases, starting on the date 01.01.2012 half-period of 173.42 days for air pressure, 182.70 for air temperature, 161.15 days for relative humidity and 183.71 days for dew point temperature. The sensitivity of the vegetation period to relative humidity is much higher compared to the full range. The second wavelet shows that the period of pressure fluctuation is 21.98 days and it remains constant in the future, and for the dew point temperature is 86.62 days and it decreases with time. The dynamics of air temperature occurs with a constant daily period, and the dynamics of relative humidity is approaching the daily cycle. The frequency characteristics of the air temperature and relative humidity do not depend on the type of series. The values of the oscillation amplitude depend on it.