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Studies on the emission of methane gas (CH 4 ) in agricultural ecosystems have received attention from the scientific community because it plays an important role in the greenhouse effect. Flood irrigation agriculture, such as irrigated rice, represents a considerable source of methane emissions (from 12 to 26 percent of all anthropogenic CH 4 emissions in the world). Estimates of CH 4 emissions have also been performed through the eddy covariance technique. Although this methodology makes continuous measurements of methane exchanges between the ecosystem and the atmosphere, failure to collect data can occur because the system is quite sensitive, especially in the hard weather conditions. The gap filling in the methane data are essential to obtain a daily or seasonal quantification of the emissions. In this study, different gap filling techniques are used to fill the CH 4 fluxes obtained by eddy covariance technique in an irrigated rice crop. The experimental data were obtained in Cachoeira do Sul - RS in the period from 11/20/2015 to 04/30/2016. The Look-Up Table (LUT), which consists of filling gaps using averages of flux values for periods with similar atmospheric conditions, was the technique that best close the gap in methane fluxes data.

Estudo das técnicas de preenchimento para dados de fluxo de metano em uma área de arroz irrigado por inundação