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Concentração de dióxido de carbono em ambiente de savana na amazônia: estudo de caso
Author(s) -
Antônio Marcos Delfino de Andrade,
Rodrigo da Silva,
J. Tóta,
Vinícius dos Santos Moreira,
Aurilene Barros dos Santos,
Raoni Aquino Silva de Santana,
Joicy da Silva Pinto
Publication year - 2020
Publication title -
ciência e natura
Language(s) - English
Resource type - Journals
eISSN - 2179-460X
pISSN - 0100-8307
DOI - 10.5902/2179460x53214
Subject(s) - microscale chemistry , phase coherence , coherence (philosophical gambling strategy) , physics , wavelet , wind speed , amplitude , environmental science , meteorology , atmospheric sciences , optics , mathematics , condensed matter physics , mathematics education , quantum mechanics , artificial intelligence , computer science
To investigate the correlation between two time series (CO2 versus air temperature and wind speed), we used coherency wavelets and phase angle. The datasets used in this study are in the October 16 of 2018, measured from micrometeorological tower in savanna natural area (2°49’30”S; 54°54’35”W; 82 m a.m.s.l.), Santarém (PA). The correlation between with CO2 concentration and air temperature detected high coherence (upper 0.8). When confronted with the wind speed, in microscale, detection a chaotic and disordered region, displaying very intermittent and showed “islands” (statistically significant), justified by the low amplitude between them. Naturally, the use of coherence wavelet and phase is fundamental to emphasize the between with CO2 and meteorological variables ration. It is evident, even for one day only, anti-phase relation between with the CO2 and air temperature signals. The temporal domain less than 32 minutes (microscale), the wind speed, at some moments, exerts a strong influence on the concentration of the referred gas ( 0.8), mainly from 09 to 15 local time.

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