Vavilin V.A., Rytov S.V., Lokshina L.Y. Modelling the specific pathway of CH4 and CO2 formation using carbon isotope fractionation: an example for a boreal mesotrophic fen / Isotopes in Environmental and Health Studies
We described mathematically the process of peat methanization in a boreal mesotrophic fen. Gaseous and dissolved CH4 and CO2 as well as their d13Csignatures were considered in the dynamic equations for incubation bottles. In accordance with the model, acetate, H2 and CO2 were produced during cellulose hydrolysis and acidogenesis. 13C/12C in CO2 was a key variable reflecting dynamic changes in the rates of cellulose hydrolysis and acidogenesis, acetoclastic and hydrogenotrophic methanogenesis. As СО2 is the substrate in hydrogenotrophic methanogenesis δ13C-CO2 increased from the start till the dissolved hydrogen concentration became very low. Thereafter, the rate of acetoclastic methanogenesis with the significant current acetate concentration dominated over the rate of hydrogenotrophic methanogenesis leading to the decreasing δ13C-CO2 and the increasing δ 13C-CH4. The model was validated by describing the system's dynamics under strong and weak inhibition of acetoclastic and hydrogenotrophic methanogenesis by methyl fluoride, respectively. During peat methanization at the lowered temperature of 10oC, the processes of hydrogenotrophic methanogenesis and homoacetogenesis competing for H2 may occur. However, based on dynamics of the carbon isotope signatures especially on dynamics of δ13C-CO2, the model showed no significant contribution of homoacetogens in peat methanization.
2021Е.К. Сантьева, И.Л. Башмачников, М.А. Соколовский. Об устойчивости Лофотенского вихря Норвежского моря. Океанология, 2021, том 61, № 3, с. 353–365.
2021Moreido, Vsevolod; Gartsman, Boris; Solomatine, Dimitri P.; Suchilina, Zoya. 2021. How Well Can Machine Learning Models Perform without Hydrologists? Application of Rational Feature Selection to Improve Hydrological Forecasting. Water 13, no. 12: 1696.