The influence of the spatial heterogeneity of vegetation cover and surface topography on vertical CO2 fluxes within the atmospheric surface layer

Olchev, Alexander; Mukhartova, Yu. V.; Левашова, Н. Т.; Volkova, E. M.; Ryzhova, M. S.; Mangura, Polina

doi:10.1134/s0001433817050103

Cited by 7 publications

(3 citation statements)

References 12 publications

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“…To describe the spatial distribution of GHG concentrations within the atmospheric boundary layer over a non-uniform surface, a 3D hydrodynamic model of turbulent GHG transfer in the atmospheric boundary layer has been implemented [15]. It is based on the E-ω closure scheme [16][17][18] of the averaged Navier-Stokes equation, the continuity equation and the 'diffusion-advection' equation for the transfer of GHGs [19][20][21][22]. In this study we use a modified version of a previously developed 3D hydrodynamic model [15,23] to describe the airflow distribution over the area with complex topography and vegetation.…”

Section: Formulation Of the Full Forward Problem For Ghg Concentratio...mentioning

confidence: 99%

Inverse problem for retrieving greenhouse gas fluxes at the non-uniform underlying surface from measurements of their concentrations at several levels

Mukhartova,

Olchev,

Gibadullin

et al. 2024

J. Phys.: Conf. Ser.

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The study focuses on the formulation, analysis, and solution of the remote sensing inverse problem to retrieve surface carbon dioxide (CO2) fluxes from measurements of CO2 concentrations at different levels within the atmospheric boundary layer. A three-dimensional hydrodynamic model of turbulent greenhouse gas (GHG) transport was used as a forward model to link the surface GHG fluxes to the drone observations of GHG concentrations. The 3D model provides a GHG concentration distribution by solving the diffusion-advection equation using information on wind speed, its direction, and turbulent exchange coefficients. The surface GHG fluxes are considered as a boundary condition. The spatial distributions of wind speed and turbulence coefficient “for a moment in time” are computed from the relaxation problem for the averaged Navier-Stokes and continuity equations, using a 1.5 order closure scheme (E-ω model). The inverse problem is to retrieve a surface GHG flux by minimizing the difference between the measured and modelled concentrations at several levels. The algorithm was applied to estimate CO2 fluxes over a non-uniform forest canopy at the Roshny-Chu experimental site in the foothills of the Greater Caucasus (Chechen Republic). To test the forward numerical problem, data on surface topography, vegetation height and density, spatial distribution of photosynthetically active solar radiation, as well as data on plant photosynthesis and soil CO2 fluxes were used.

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Section: Formulation Of the Full Forward Problem For Ghg Concentratio...mentioning

confidence: 99%

Inverse problem for retrieving greenhouse gas fluxes at the non-uniform underlying surface from measurements of their concentrations at several levels

Mukhartova,

Olchev,

Gibadullin

et al. 2024

J. Phys.: Conf. Ser.

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“…where C µ is a dimensionless numerical parameter and the functions E and ω = ε/E satisfy the following equations of the "diffusion-reaction-advection" type [15,32,33]:…”

Section: Airflow Modelmentioning

confidence: 99%

Modeling Tool for Estimating Carbon Dioxide Fluxes over a Non-Uniform Boreal Peatland

et al. 2023

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We present a modeling tool capable of computing carbon dioxide (CO2) fluxes over a non-uniform boreal peatland. The three-dimensional (3D) hydrodynamic model is based on the “one-and-a-half” closure scheme of the system of the Reynolds-Averaged Navier–Stokes and continuity equations. Despite simplifications used in the turbulence description, the model allowed obtaining the spatial steady-state distribution of the averaged wind velocities and coefficients of turbulent exchange within the atmospheric surface layer, taking into account the surface heterogeneity. The spatial pattern of CO2 fluxes within and above a plant canopy is derived using the “diffusion–reaction–advection” equation. The model was applied to estimate the spatial heterogeneity of CO2 fluxes over a non-uniform boreal ombrotrophic peatland, Staroselsky Moch, in the Tver region of European Russia. The modeling results showed a significant effect of vegetation heterogeneity on the spatial pattern of vertical and horizontal wind components and on vertical and horizontal CO2 flux distributions. Maximal airflow disturbances were detected in the near-surface layer at the windward and leeward forest edges. The forest edges were also characterized by maximum rates of horizontal CO2 fluxes. Modeled turbulent CO2 fluxes were compared with the mid-day eddy covariance flux measurements in the southern part of the peatland. A very good agreement of modeled and measured fluxes (R2 = 0.86, p < 0.05) was found. Comparisons of the vertical profiles of CO2 fluxes over the entire peatland area and at the flux tower location showed significant differences between these fluxes, depending on the prevailing wind direction and the height above the ground.

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“…The values of E and ε are found from the system of differential equations (Sogachev and Panferov 2006;Mukhartova et al 2017;Olchev et al 2017): where φ (φ=ε•E -1 ) is the supplemented function characterizing the scale of turbulence. The dimensionless constants σ E =σ φ =2 introduce the Prandtl number for turbulent…”

Section: Data Post-processingmentioning

confidence: 99%

Three-Year Variability Of Energy And Carbon Dioxide Fluxes At Clear-Cut Forest Site In The European Southern Taiga

Mamkin

Mukhartova

Diachenko

et al. 2019

GES

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Forest clearing strongly influences the energy, water and greenhouse gas exchange at the land surface-atmosphere interface. To estimate effects of clear cutting on sensible (H), latent heat (LE) and CO 2 fluxes the continuous eddy covariance measurements were provided at the recently clear-cut area situated in the western part of Russia from spring 2016 to the end of 2018. The possible effects of surrounding forest on the air flow disturbances and on the spatial pattern of horizontal advection terms within the selected clear-cut area were investigated using a process-based 3D momentum, energy and CO 2 exchange model. The modeling results showed a very low contribution of horizontal advection term into total turbulent momentum fluxes at flux tower location in case of the southern wind direction. The results of field flux measurements indicated a strong interand intra-annual variability of energy and CO 2 fluxes. The energy budget is characterized by higher daily and monthly LE fluxes throughout the entire period of measurements excepting the first two months after timber harvest. The mean Bowen ratio (β=H/LE) was 0.52 in 2016, 0.30-in 2017 and 0.35-in 2018. Analysis of CO 2 fluxes during the first year following harvest showed that the monthly CO 2 release at the clear-cut area consistently exceeded the CO2 uptake rates. The mean net ecosystem exchange (NEE) in the period was 3.3±1.3 gC•m-2 •d-1. During the second and the third years of the flux measurements the clear-cut was also a prevailed sink of CO 2 for the atmosphere excepting short periods in June and in the first part of July when daily CO 2 uptake was higher than CO 2 release rates. The mean NEE rates averaged for the entire warm period of corresponding years were 1.2±2.3 gС•m-2 •d-1 in 2017 and 2.8±2.5 gC•m-2 •d-1 in 2018, respectively. The mean ratio between gross primary production (GPP) and ecosystem respiration (TER) was 0.58

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The influence of the spatial heterogeneity of vegetation cover and surface topography on vertical CO2 fluxes within the atmospheric surface layer

Cited by 7 publications

References 12 publications

Inverse problem for retrieving greenhouse gas fluxes at the non-uniform underlying surface from measurements of their concentrations at several levels

Inverse problem for retrieving greenhouse gas fluxes at the non-uniform underlying surface from measurements of their concentrations at several levels

Modeling Tool for Estimating Carbon Dioxide Fluxes over a Non-Uniform Boreal Peatland

Three-Year Variability Of Energy And Carbon Dioxide Fluxes At Clear-Cut Forest Site In The European Southern Taiga

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