Результаты поиска по 'clear-cut':
Найдено статей: 2
  1. Belotelov N.V., Apal’kova T.G., Mamkin V.V., Kurbatova Y.A., Olchev A.V.
    Some relationships between thermodynamic characteristics and water vapor and carbon dioxide fluxes in a recently clear-cut area
    Computer Research and Modeling, 2017, v. 9, no. 6, pp. 965-980

    The temporal variability of exergy of short-wave and long-wave radiation and its relationships with sensible heat, water vapor (H2O) and carbon dioxide (CO2) fluxes on a recently clear-cut area in a mixed coniferous and small-leaved forest in the Tver region is discussed. On the basis of the analysis of radiation and exergy efficiency coefficients suggested by Yu.M. Svirezhev it was shown that during the first eight months after clearcutting the forest ecosystem functions as a "heat engine" i.e. the processes of energy dissipation dominated over processes of biomass production. To validate the findings the statistical analysis of temporary variability of meteorological parameters, as well as, daily fluxes of sensible heat, H2O and CO2 was provided using the trigonometrical polynomials. The statistical models that are linearly depended on an exergy of short-wave and long-wave radiation were obtained for mean daily values of CO2 fluxes, gross primary production of regenerated vegetation and sensible heat fluxes. The analysis of these dependences is also confirmed the results obtained from processing the radiation and exergy efficiency coefficients. The splitting the time series into separate time intervals, e.g. “spring–summer” and “summer–autumn”, allowed revealing that the statistically significant relationships between atmospheric fluxes and exergy were amplified in summer months as the clear-cut area was overgrown by grassy and young woody vegetation. The analysis of linear relationships between time-series of latent heat fluxes and exergy showed their statistical insignificance. The linear relationships between latent heat fluxes and temperature were in turn statistically significant. The air temperature was a key factor improving the accuracy of the models, whereas effect of exergy was insignificant. The results indicated that at the time of active vegetation regeneration within the clear-cut area the seasonal variability of surface evaporation is mainly governed by temperature variation.

    Keywords: clear-cut, thermodynamic characteristics, exergy, short-wave radiation, long-wave emission, time series, sensible heat water vapor and carbon dioxide fluxes.
    Views (last year): 15. Citations: 1 (RSCI).
  2. Levashova N.T., Muhartova Ju.V., Olchev A.V.
    Three-dimensional modelling of turbulent transfer in the atmospheric surface layer using the theory of contrast structures
    Computer Research and Modeling, 2016, v. 8, no. 2, pp. 355-367

    A three-dimensional (3D) hydrodynamic model to describe the spatial patterns of wind and turbulence characteristics in the atmospheric surface layer over inhomogeneous vegetation cover is presented. To describe the interaction of air flow with vegetation the theory of contrast structures is used. The numerical experiments provided by a developed model to assess the impact of small clear-cutting on wind and turbulent regime in the atmospheric surface layer showed a significant influence of heterogeneous vegetation on the wind field and the turbulent exchange processes between the land surface and the atmosphere. Obtained results give a reasonable agreement with field experimental data and results of numerical experiments provided using alternative models.

    Keywords: 3D hydrodynamic model, turbulent exchange, contrast structure, clear-cut area, atmospheric surface layer.
    Views (last year): 3. Citations: 1 (RSCI).

Indexed in Scopus

Full-text version of the journal is also available on the web site of the scientific electronic library eLIBRARY.RU

The journal is included in the Russian Science Citation Index

The journal is included in the RSCI

International Interdisciplinary Conference "Mathematics. Computing. Education"

Copyright © 2009–2024 Institute of Computer Science