Mechanistic Modeling of the Variability of Methane Emissions from an Artificial Reservoir
The mechanistic model LAKE2.3 was tested for its capability to predict of methane (CH<sub>4</sub>) emissions from reservoirs. Estimates of CH<sub>4</sub> emissions from the Mozhaysk reservoir (Moscow region) provided by the model showed good agreement with instrumental in sit...
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MDPI AG
2023-12-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/16/1/76 |
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| author | Victor Lomov Victor Stepanenko Maria Grechushnikova Irina Repina |
| author_facet | Victor Lomov Victor Stepanenko Maria Grechushnikova Irina Repina |
| author_sort | Victor Lomov |
| collection | DOAJ |
| description | The mechanistic model LAKE2.3 was tested for its capability to predict of methane (CH<sub>4</sub>) emissions from reservoirs. Estimates of CH<sub>4</sub> emissions from the Mozhaysk reservoir (Moscow region) provided by the model showed good agreement with instrumental in situ observations for several parameters of the water ecosystem. The average CH<sub>4</sub> flux calculated by the model is 37.7 mgC-CH<sub>4</sub> m<sup>−2</sup> day<sup>−1</sup>, while according to observations, it is 34.4 mgC-CH<sub>4</sub> m<sup>−2</sup> day<sup>−1</sup>. Ebullition makes the largest contribution to the emissions from reservoirs (up to 95%) due to low methane solubility in water and the high oxidation rate of diffusive methane flux. During the heating period, an increase in methane emission is observed both in the model and empirical data, with a maximum before the onset of the autumn overturn. An effective parameter for calibrating the diffusive methane flux in the model is the potential rate of methane oxidation. For ebullition flux, it is the parameter q10 (an empirical parameter determining the relationship between methane generation and temperature) because methane production in bottom sediments is the most important. The results of this research can be used to develop mechanistic models and provide a necessary step toward regional and global simulations of lacustrine methane emission using LAKE2.3. |
| first_indexed | 2024-03-08T14:55:48Z |
| format | Article |
| id | doaj.art-eeeadb4a20ac4e5e8c2ce43ae16f03a1 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-08T14:55:48Z |
| publishDate | 2023-12-01 |
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| spelling | doaj.art-eeeadb4a20ac4e5e8c2ce43ae16f03a12024-01-10T15:11:34ZengMDPI AGWater2073-44412023-12-011617610.3390/w16010076Mechanistic Modeling of the Variability of Methane Emissions from an Artificial ReservoirVictor Lomov0Victor Stepanenko1Maria Grechushnikova2Irina Repina3Laboratory of Supercomputer Modeling of the Earth System Processes, Research Computing Center, Moscow State University, 119991 Moscow, RussiaLaboratory of Supercomputer Modeling of the Earth System Processes, Research Computing Center, Moscow State University, 119991 Moscow, RussiaHydrology Department, Faculty of Geography, Moscow State University, 119991 Moscow, RussiaLaboratory of Supercomputer Modeling of the Earth System Processes, Research Computing Center, Moscow State University, 119991 Moscow, RussiaThe mechanistic model LAKE2.3 was tested for its capability to predict of methane (CH<sub>4</sub>) emissions from reservoirs. Estimates of CH<sub>4</sub> emissions from the Mozhaysk reservoir (Moscow region) provided by the model showed good agreement with instrumental in situ observations for several parameters of the water ecosystem. The average CH<sub>4</sub> flux calculated by the model is 37.7 mgC-CH<sub>4</sub> m<sup>−2</sup> day<sup>−1</sup>, while according to observations, it is 34.4 mgC-CH<sub>4</sub> m<sup>−2</sup> day<sup>−1</sup>. Ebullition makes the largest contribution to the emissions from reservoirs (up to 95%) due to low methane solubility in water and the high oxidation rate of diffusive methane flux. During the heating period, an increase in methane emission is observed both in the model and empirical data, with a maximum before the onset of the autumn overturn. An effective parameter for calibrating the diffusive methane flux in the model is the potential rate of methane oxidation. For ebullition flux, it is the parameter q10 (an empirical parameter determining the relationship between methane generation and temperature) because methane production in bottom sediments is the most important. The results of this research can be used to develop mechanistic models and provide a necessary step toward regional and global simulations of lacustrine methane emission using LAKE2.3.https://www.mdpi.com/2073-4441/16/1/76artificial reservoirmethane emissionthermodynamical modelingwater ecosystem |
| spellingShingle | Victor Lomov Victor Stepanenko Maria Grechushnikova Irina Repina Mechanistic Modeling of the Variability of Methane Emissions from an Artificial Reservoir Water artificial reservoir methane emission thermodynamical modeling water ecosystem |
| title | Mechanistic Modeling of the Variability of Methane Emissions from an Artificial Reservoir |
| title_full | Mechanistic Modeling of the Variability of Methane Emissions from an Artificial Reservoir |
| title_fullStr | Mechanistic Modeling of the Variability of Methane Emissions from an Artificial Reservoir |
| title_full_unstemmed | Mechanistic Modeling of the Variability of Methane Emissions from an Artificial Reservoir |
| title_short | Mechanistic Modeling of the Variability of Methane Emissions from an Artificial Reservoir |
| title_sort | mechanistic modeling of the variability of methane emissions from an artificial reservoir |
| topic | artificial reservoir methane emission thermodynamical modeling water ecosystem |
| url | https://www.mdpi.com/2073-4441/16/1/76 |
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