Stochastic forecasting of soil condition taking into account radiative heat transfer

Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy


Release:

2019, Vol. 5. №1

Title: 
Stochastic forecasting of soil condition taking into account radiative heat transfer


For citation: Spasennikova K. A., Anikin G. V. 2019. “Stochastic forecasting of soil condition taking into account radiative heat transfer”. Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy, vol. 5, no 1, pp. 27-40. DOI: 10.21684/2411-7978-2019-5-1-27-40

About the authors:

Klavdiia A. Spasennikova, Cand. Sci. (Tech.), Senior Researcher, Institute of Earth Cryosphere, Tyumen Scientific Centre of the Siberian Branch of the Russian Academy of Sciences; kspasennikova@gmail.com

Gennady V. Anikin, Cand. Sci. (Phys.-Math.), Leading Researcher, Earth Cryosphere Institute, Tyumen Scientific Centre of the Siberian Branch of the Russian Academy of Sciences; anikin@ikz.ru

Abstract:

The current active development of natural and energy resources of the Arctic zone is closely connected with the construction of roads on soil grounds of the permafrost zone. It is accompanied by an active change in the natural thermal regime of permafrost.

To prevent road deformation, the authors have developed a calculation method that allows predicting temperature changes in soils with sufficient accuracy when designing objects located in permafrost conditions.

Previously, the authors solved Stefan’s problem taking into account random changes in meteorological characteristics, such as wind speed, atmosphere temperature, and snow cover height.

In this paper, stochastic forecasting is used to simulate the ground state under the embankment of a roadway, taking into account the stochasticity of such parameters of the problem as solar and infrared radiation of the Earth’s surface and the atmosphere.

The authors consider 48 variants of the development of events throughout the year, each of which is generated using the Monte Carlo method based on the distribution of meteorological characteristics: wind speed, atmospheric temperature, and snow cover height, obtained by averaging the archival data of the Igarka meteorological station. Solar radiation and infrared radiation of the Earth’s surface and atmosphere were obtained by averaging the NASA data. For each version of the situation in the future, the temperature fields in the calculated area under the road were calculated. The probability of finding ground in the thawed state at arbitrary points of the calculated region is calculated.

References:

  1. Anikin G. V., Spasennikova K. A. 2012. “Computer modeling of the soil cooling system under a tank with oil”. Kriosfera Zemli, vol. 16, no 2, pp. 60-64. [In Russian]
  2. Anikin G. V., Plotnikov S. N., Spasennikova K. A. 2011. “Computer simulation of heat and mass transfer in systems of horizontal cooling of soils”. Kriosfera Zemli, vol. 15, no 1, pp. 33-39. [In Russian]
  3. Anikin G. V., Spasennikova K. A., Plotnikov S. N., Ishkov A. A. 2017. “The method of stochastic prediction of the temperature of soils using the ‘GET’ systems”. Soil Mechanics and Foundation Engineering, no 1, pp. 35-40. DOI: 10.1007/s11204-017-9435-7
  4. Anikin G. V., Plotnikov S. N., Vakulin A. A., Spasennikova K. A. 2013. “Stochastic forecasting of the state of soils under objects built on permafrost”. Tyumen State University Herald, no 7, pp. 46-53. [In Russian]
  5. Anikin G. V., Spasennikova K. A., Ishkov A. A., Plotnikov S. N. 2017. “Improvement of the method of stochastic prediction of horizontal natural-acting tubular system operation”. Soil Mechanics and Foundation Engineering, no 6, pp. 30-34. [In Russian]
  6. Dolgikh G. M., Okunev S. N., Anikin G. V., Spasennikova K. A., Zalessky K. V. 2014. “Comparison of experimental data and numerical simulation of the cooling system ‘GET’ on the example of the fire station depot of the Vankor field”. Kriosfera Zemli, vol. 18, no 1, pp. 65-69. [In Russian]
  7. Dolgikh G. M., Anikin G. V., Rilo I. P., Spasennikova K. A. 2015. “Statistical modeling of the ‘GET’ system installed at the base of the oil reservoir”. Kriosfera Zemli, vol. 19, no 1, pp. 70-77. [In Russian]
  8. Dolgikh G. M., Okunev S. N., Anikin G. V., Spasennikova K. A. 2013. “Numerical calculation of non-stationary temperature fields in the system ‘reservoir with oil-seasonal cooling device’”. Kriosfera Zemli, vol. 17, no 3, pp. 70-75. [In Russian]
  9. Melnikov V. P., Melnikova A. A., Anikin G. V., Ivanov K. S., Spasennikova K. A. 2014. “Engineering solutions in construction on permafrost in terms of improving the energy efficiency of buildings”. Kriosfera Zemli, vol. 18, no 3, pp. 82-90. [In Russian]
  10. Pavlov A. V. 1984. Energy Exchange in the Landscape Sphere of the Earth. Novosibirsk: Nauka. [In Russian]
  11. Spasennikova K. A. 2015. “Computer simulation of heat and mass transfer in soils under the structures built on permafrost using seasonal cooling devices”. Cand. Sci. (Tech.) diss. abstract. Tyumen. [In Russian]
  12. Atmospheric Science Data Center: NASA Langley Research Center. Accessed 29 May 2018. https://eosweb.larc.nasa.gov 
  13. Foken T. 2008. Micrometeorology. Berlin; Heidelberg: Springer.