Application of a 2D model for describing the turbulent transfer of CO2 in a spatially heterogeneous vegetation cover

Mukhartova, Yu. V.; Левашова, Н. Т.; Olchev, Alexander; Shapkina, N. E.

doi:10.3103/s0027134915010087

Cited by 14 publications

(3 citation statements)

References 12 publications

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“…To assess the possible influence of clear-cutting on wind and turbulence pattern within and around the harvested, as well as on the turbulent fluxes of CO 2 and H 2 O at different levels above the ground surface, a 2D hydrodynamic turbulent transfer model was applied (Mukhartova et al 2015). The model is based on solution of the Navier-Stokes and continuity equations using the one-and-a-half order closure scheme (Garratt 1992, Panferov and Sogachev 2008, Olchev et al 2009.…”

Section: Modeling Turbulent Exchange Under Non-uniform Land Surfacementioning

confidence: 99%

Changes in net ecosystem exchange of CO ₂ , latent and sensible heat fluxes in a recently clear-cut spruce forest in western Russia: results from an experimental and modeling analysis

Mamkin

Kurbatova

Avilov

et al. 2016

Environ. Res. Lett.

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Ecosystem carbon dioxide, energy, and water fluxes were measured using eddy covariance in a fresh clear-cut surrounded by a mixed spruce-birch-aspen forest in the boreal zone of European Russia. Measurements were initiated in spring 2016 following timber harvest and continued for five months. The influence of surrounding forest on air flow and turbulent fluxes within the clear-cut were examined using a process-based two-dimensional (2D) hydrodynamic turbulent exchange model. The clear-cut was a source of CO 2 to the atmosphere prior to onset of vegetation growth during early spring. During this period the mean daily latent (LE) and sensible (H) heat fluxes were very similar and the Bowen ratio (b = H/LE) averaged about 1.0. Daily net ecosystem exchange of CO 2 (NEE) was around 0 gC m À2 d À1 following onset of vegetation growth from mid-spring through summer, while b declined to 0.6-0.7. There was strong diurnal variability in NEE, LE and H over the measurement period that was governed by solar radiation and temperature as well as the leaf area index (LAI) of regrown vegetation. Modeled vertical CO 2 and H 2 O fluxes along a transect that crossed the clear-cut and coincided with the dominate wind direction showed that the clear-cut strongly influenced turbulent fluxes within the atmospheric surface layer. Furthermore, modeled atmospheric dynamics suggested that the clear-cut had a large influence on turbulent fluxes in the downwind forest, but little impact on the upwind side. An aggregated approach including field measurements and process-based models can be a useful approach to estimate energy, water and carbon dioxide fluxes in non-uniform forest landscapes.

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Section: Modeling Turbulent Exchange Under Non-uniform Land Surfacementioning

confidence: 99%

Changes in net ecosystem exchange of CO ₂ , latent and sensible heat fluxes in a recently clear-cut spruce forest in western Russia: results from an experimental and modeling analysis

Mamkin

Kurbatova

Avilov

et al. 2016

Environ. Res. Lett.

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“…The developed 2D and 3D models are based on a system of averaged Navier-Stokes and continuity equations for the mean wind-speed components using a 1.5-order closure scheme [5][6][7][8][9][10]:…”

Section: Methodsmentioning

confidence: 99%

Mathematical Modeling of Vegetation Heterogeneity and Complex Topography Effects on Turbulent Exchange of GHG within the Atmospheric Surface Layer

Mukhartova

Krupenko

Mangura

et al. 2018

Environment, Green Technology, and Engineering International Conference

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The local-scale 2D and 3D models of greenhouse gases (GHG) exchange between a non-uniform land surface and the atmosphere were developed. They are based on solution of the system of averaged Navier-Stokes, continuity and diffusion-advection equations. For numerical solution of the differential equations the stable finite-difference schemes were suggested. The models were applied to derive effects of complex topography and vegetation heterogeneity on 2D-3D air flow patterns, as well as on CO2 exchange within the atmospheric surface layer. Several numerical experiments were also provided to describe the air-flow re-establishing after its interaction with some obstacle (e.g., forest edge). Quantitative criteria for selection of the experimental sites for continuous eddy covariance flux measurements characterized by minimum effects of horizontal advection on measured fluxes were suggested.

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“…Russian scientists at Lomonosov Moscow State University have obtained a model of carbon dioxide transport over a forest. It is based on hydrodynamic and diffusion processes in atmospheric air [30]. A linear mixed effect model has been developed, which, without considering random factors, makes it possible to predict with an accuracy of 47% [31].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning in the Analysis of Carbon Dioxide Flow on a Site with Heterogeneous Vegetation

Kulakova,

Muravyova

2023

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The article presents the results of studies of carbon dioxide flow in the territory of section No. 5 of the Eurasian Carbon Polygon (Russia, Republic of Bashkortostan). The gas analyzer Sniffer4D V2.0 (manufactured in Shenzhen, China) with an installed CO2 sensor, quadrocopter DJI MATRICE 300 RTK (manufactured in Shenzhen, China) were used as control devices. The studies were carried out on a clear autumn day in conditions of green vegetation and on a frosty November day with snow cover. Statistical characteristics of experimental data arrays are calculated. Studies of the influence of temperature, humidity of atmospheric air on the current value of CO2 have been carried out. Graphs of the distribution of carbon dioxide concentration in the atmospheric air of section No. 5 on autumn and winter days were obtained. It has been established that when building a model of CO2 in the air, the parameters of the process of deposition by green vegetation should be considered. It was found that in winter, an increase in air humidity contributes to a decrease in gas concentration. At an ambient temperature of 21 °C, an increase in humidity leads to an increase in the concentration of carbon dioxide.

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Application of a 2D model for describing the turbulent transfer of CO2 in a spatially heterogeneous vegetation cover

Cited by 14 publications

References 12 publications

Changes in net ecosystem exchange of CO ₂ , latent and sensible heat fluxes in a recently clear-cut spruce forest in western Russia: results from an experimental and modeling analysis

Changes in net ecosystem exchange of CO ₂ , latent and sensible heat fluxes in a recently clear-cut spruce forest in western Russia: results from an experimental and modeling analysis

Mathematical Modeling of Vegetation Heterogeneity and Complex Topography Effects on Turbulent Exchange of GHG within the Atmospheric Surface Layer

Machine Learning in the Analysis of Carbon Dioxide Flow on a Site with Heterogeneous Vegetation

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Application of a 2D model for describing the turbulent transfer of CO2 in a spatially heterogeneous vegetation cover

Cited by 14 publications

References 12 publications

Changes in net ecosystem exchange of CO 2 , latent and sensible heat fluxes in a recently clear-cut spruce forest in western Russia: results from an experimental and modeling analysis

Changes in net ecosystem exchange of CO 2 , latent and sensible heat fluxes in a recently clear-cut spruce forest in western Russia: results from an experimental and modeling analysis

Mathematical Modeling of Vegetation Heterogeneity and Complex Topography Effects on Turbulent Exchange of GHG within the Atmospheric Surface Layer

Machine Learning in the Analysis of Carbon Dioxide Flow on a Site with Heterogeneous Vegetation

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Changes in net ecosystem exchange of CO ₂ , latent and sensible heat fluxes in a recently clear-cut spruce forest in western Russia: results from an experimental and modeling analysis

Changes in net ecosystem exchange of CO ₂ , latent and sensible heat fluxes in a recently clear-cut spruce forest in western Russia: results from an experimental and modeling analysis