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Measurements in Agro-ecologic Micrometeorology Need New Model of Multi-component Reacting Gaseous Flow

Received: 30 October 2016    Accepted: 8 December 2016    Published: 18 October 2017
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Abstract

New approach to the electrification measurements in agro-ecologic micrometeorology is suggested on the bases of new turbulent model of the flow. Analytical dynamic model of the turbulent multi-component flow in the three-layer boundary system is presented. Turbulence is simulated by the non-zero vorticity, but not only. Other mathematical aspects of the turbulence are an introducing new model of the material point and considering a torsion of their trajectories. The generalized advection-diffusion-reaction equation is derived for an arbitrary number of components in the flow. The flows in the layers are objects for matching requirements on the boundaries between the layers. Different types of transport mechanisms are dominant on the different levels of the layers and space scales. The same models of mass and energy transfer are instrumental in rural electrification concepts.

Published in Advances in Bioscience and Bioengineering (Volume 5, Issue 4)
DOI 10.11648/j.abb.20170504.11
Page(s) 51-55
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Rural Electrification, Green House Gas, Mathematical Model, Turbulent Flow, Vorticity, Material Point, Micrometeorology, Turbulent Diffusion

References
[1] Vasenev I. I., Valentini R. Experience in Organization Green House Gases Monitoring, C- and N-stockpiles in the Anthropologically Changed Ecosystems in the European Part of Russia. Report on the 1st Annual Scientific-Organizational Conference, Laboratory for Agro-ecological Monitoring, Modeling and Forecasting in Ecosystems (LAMP), Russian State Agrarian University – Moscow Agricultural Academy named after K. A. Timiryazev. December 12, 2012.
[2] Landau L. D., Lifshitz E. M. (1987). Fluid Mechanics. Vol. 6 (2nd ed.). Butterworth–Heinemann.
[3] Burba G. Eddy Covariance Method for Scientific, Industrial, Agricultural and Regulatory Applications. A Field Book on Measuring Ecosystem Gas Exchange and Areal Emission Rates. ISBN 978-0-615-76827-4. LI-COR Biosciences, Lincoln, Nebraska, 332 pp.
[4] Aubinet, M., Vesala T., and Papale D. (Eds.), 2012. Eddy Covariance: A Practical Guide to Measurement and Data Analysis. Springer, Dordrecht, London, New York, 442 pp.
[5] Nurgaliev I. S. «Singularities Are Averted by Vortices». Gravitation and Cosmology, 2010, Vol. 16, No. 4, pp. 313–315.
[6] Nurgaliev I. S.. Modern astronomical knowledge as component of general education for sustainable development. Astronomical and Astrophysical Transactions (AApTr), 2012, Vol. 27, Issue 3, pp. 429–430. ISSN 1055-6796, Cambridge Scientific Publishers.
[7] Nurgaliev I. S. “Confirmation of Cosmological Bounces Predicted by Alexander Friedmann.” International Journal of. Modern Physics: Conference Series, Vol. 3 (2011), pp 281–285.
[8] Baldocchi D. D. “Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future. Global Change Biology, Volume 9, Issue 4, pages 479–492, April 2003.
[9] Webb, E. K., Pearman, G. I., and Leuning, R.: 1980, ‘Correction of Flux Measurements for Density Effects Due to Heat and Water Vapour Transfer’, Quart. J. Roy. Meteorol. Soc. 106, 85–100.
[10] Wyngaard J. C. 1990: Scalar fluxes in the planetary boundary layer -- Theory, modeling, Boundary-Layer Meteorology and measurement. Boundary Layer Meteorology, 50, 49-75.
[11] Fuehrer P. L., C. A. Friehe. Flux Corrections Revisited. Boundary-Layer Meteorology, 102: 415–457, 2002.
[12] Rashevsky P. K. Riemann Geometry and Tensor Analysis (in Russian), Nauka. Eds, Moscow, 1967.
[13] Blokhintsev D. I., Acoustics of a Non-homogeneous Moving Medium, Gostekhizdat, 1945 (English translation: N. A. C. A. Technical Memorandum no. 1399 (1956)).
[14] Howe D. I. Acoustics of Fluid–Structure Interactions, Cambridge University Press, Cambridge, 1998.
[15] Nurgaliev I. S. Physical Kinetics of Demography. Economic Strategies. - 2009. - N 1. - pp. 170-175. www.intelros.ru/pdf/ps/02/31.pdf.
[16] Nurgaliev I. S. Turbulency of the New Risks Demand Revising Strategies of Development. Economic Strategies – 2011, N 6, pp. 56-60 http://www.inesnet.ru/magazine/mag_archive/?mid=105&cid=2416#article_2416.
[17] Batchelor, George K.(1973). An introduction to fluid dynamics. Cambridge: Cambridge University Press. ISBN 0-521-09817-3.
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  • APA Style

    Nurgaliev I. S. (2017). Measurements in Agro-ecologic Micrometeorology Need New Model of Multi-component Reacting Gaseous Flow. Advances in Bioscience and Bioengineering, 5(4), 51-55. https://doi.org/10.11648/j.abb.20170504.11

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    ACS Style

    Nurgaliev I. S. Measurements in Agro-ecologic Micrometeorology Need New Model of Multi-component Reacting Gaseous Flow. Adv. BioSci. Bioeng. 2017, 5(4), 51-55. doi: 10.11648/j.abb.20170504.11

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    AMA Style

    Nurgaliev I. S. Measurements in Agro-ecologic Micrometeorology Need New Model of Multi-component Reacting Gaseous Flow. Adv BioSci Bioeng. 2017;5(4):51-55. doi: 10.11648/j.abb.20170504.11

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  • @article{10.11648/j.abb.20170504.11,
      author = {Nurgaliev I. S.},
      title = {Measurements in Agro-ecologic Micrometeorology Need New Model of Multi-component Reacting Gaseous Flow},
      journal = {Advances in Bioscience and Bioengineering},
      volume = {5},
      number = {4},
      pages = {51-55},
      doi = {10.11648/j.abb.20170504.11},
      url = {https://doi.org/10.11648/j.abb.20170504.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.abb.20170504.11},
      abstract = {New approach to the electrification measurements in agro-ecologic micrometeorology is suggested on the bases of new turbulent model of the flow. Analytical dynamic model of the turbulent multi-component flow in the three-layer boundary system is presented. Turbulence is simulated by the non-zero vorticity, but not only. Other mathematical aspects of the turbulence are an introducing new model of the material point and considering a torsion of their trajectories. The generalized advection-diffusion-reaction equation is derived for an arbitrary number of components in the flow. The flows in the layers are objects for matching requirements on the boundaries between the layers. Different types of transport mechanisms are dominant on the different levels of the layers and space scales. The same models of mass and energy transfer are instrumental in rural electrification concepts.},
     year = {2017}
    }
    

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    AB  - New approach to the electrification measurements in agro-ecologic micrometeorology is suggested on the bases of new turbulent model of the flow. Analytical dynamic model of the turbulent multi-component flow in the three-layer boundary system is presented. Turbulence is simulated by the non-zero vorticity, but not only. Other mathematical aspects of the turbulence are an introducing new model of the material point and considering a torsion of their trajectories. The generalized advection-diffusion-reaction equation is derived for an arbitrary number of components in the flow. The flows in the layers are objects for matching requirements on the boundaries between the layers. Different types of transport mechanisms are dominant on the different levels of the layers and space scales. The same models of mass and energy transfer are instrumental in rural electrification concepts.
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Author Information
  • UNESCO Chair of Renewable Energy and Electrification of Agriculture at VIESH, Moscow, Russia

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