Simulation Approach in Forecasting Radioactive Situation in Case of Forest Fires in Radioactive Contaminated Zones

E Beresneva; B. Galushkin; S. Gorbunov; V. Klochkov; V. Rubcov; A. Molokanov

doi:doi:10.12737/article_5c0c1209d926d4.00249293

UDC 61 CSCSTI 76.03 CSCSTI 76.33 Russian Classification of Professions by Education 14.04.02 Russian Classification of Professions by Education 31.06.2001 Russian Classification of Professions by Education 31.08.08 Russian Classification of Professions by Education 32.08.12 Russian Library and Bibliographic Classification 51 Russian Library and Bibliographic Classification 534 Russian Trade and Bibliographic Classification 5708 Russian Trade and Bibliographic Classification 5712 Russian Trade and Bibliographic Classification 5734 Russian Trade and Bibliographic Classification 6212

Simulation Approach in Forecasting Radioactive Situation in Case of Forest Fires in Radioactive Contaminated Zones

Published в Medical Radiology and radiation safety · Volume 63, Issue 6, 2018 · Pages 21–26 · Rubrics: Radiation safety

DOI 10.12737/article_5c0c1209d926d4.00249293

Received: 14.11.2018 Accepted: 10.12.2018 Published: 10.12.2018 Language of publication: RUS

Authors

E Beresneva ¹ · B. Galushkin ² · S. Gorbunov ³ · V. Klochkov ⁴ · V. Rubcov ⁵ · A. Molokanov ⁶

1 Moscow Aviation Institute (National Research University)
Russian Federation

2 A.I. Burnasyan Federal Medical Biophysical Center (FMBC) FMBA (Leading Researcher)
Russian Federation

3 All-Russian Research Institute of Ministry of Russian Federation for Civil Defense, Emergency and Elimi¬nation of Consequences of Natural Disasters (Chief Researcher)
Russian Federation

4 A.I. Burnasyan Federal Medical Biophysical Center (FMBC) FMBA (Leading Researcher)
Russian Federation

5 A.I. Burnasyan Federal Medical Biophysical Center (FMBC) FMBA (Head of Laboratory)
Russian Federation

6 A.I. Burnasyan Federal Medical Biophysical Center (FMBC) FMBA (Leading Researcher)
Russian Federation

ABSTRACT

Purpose: The accident at the Chernobyl NPP caused radioactive contamination of large areas, including forestry. For the last decades forest fires in the RF tend to increase and, more alarmingly, their burnt-out area significantly expands. So, the risk of large-scale forest fires in the area of radioactive contamination increases. Effectiveness of the measures for radiation protection of population and personnel involved in fire response is directly related to existence of valid methods of radiation situation prognostication. The work is aimed to develop a method of prognostication of radiation situation at forest fire in the area of radioactive contamination, taking into account random nature of atmospheric turbulence and a convective column over the body of fire, and to estimate validity of this method. Material and methods: Methods of simulation modeling of mass transfer processes in the atmosphere (method of Bird) based on the molecular-kinetic theory and gas-dynamic theory were used when developing the prognostication method. Results: The simulation model of formation, spreading and fall-out of radioactive cloud taking into account random nature of atmospheric turbulence and presence of a convective column over the body of fire has been developed; the method of prognostication of radiation situation at forest fire in the area of radioactive contamination has been developed and verified based on data of European experiment E1. The relative error of received values in the control points of radiation situation parameters based on data of experiment E1 did not exceed 0.25. Conclusion: Use of modified method of Bird allowed developing 3D dynamic model of spreading of radioactive impurity into atmosphere at convective rising by heated air flow from underlying surface. This model takes into account random nature of atmospheric turbulence and presence of a convective column over the body of fire which significantly increases accuracy of the method of radiation situation prognostication.

KEYWORDS

forest fires radiation situation prognostication method of Bird dispersion of the Smith–Hosker convective column atmospheric turbulence

Information References

Authors:

1. Moscow Aviation Institute (National Research University)

Russian Federation

2. A.I. Burnasyan Federal Medical Biophysical Center (FMBC) FMBA (Leading Researcher)

Russian Federation

3. All-Russian Research Institute of Ministry of Russian Federation for Civil Defense, Emergency and Elimi¬nation of Consequences of Natural Disasters (Chief Researcher)

Russian Federation

4. A.I. Burnasyan Federal Medical Biophysical Center (FMBC) FMBA (Leading Researcher)

Russian Federation

5. A.I. Burnasyan Federal Medical Biophysical Center (FMBC) FMBA (Head of Laboratory)

Russian Federation

6. A.I. Burnasyan Federal Medical Biophysical Center (FMBC) FMBA (Leading Researcher)

Russian Federation

Type:

Article

Pages:

from 21 to 26

Status:

Published

Subject area:

UDC 61
CSCSTI 76.03
CSCSTI 76.33
Russian Classification of Professions by Education 14.04.02
Russian Classification of Professions by Education 31.06.2001
Russian Classification of Professions by Education 31.08.08
Russian Classification of Professions by Education 32.08.12
Russian Library and Bibliographic Classification 51
Russian Library and Bibliographic Classification 534
Russian Trade and Bibliographic Classification 5708
Russian Trade and Bibliographic Classification 5712
Russian Trade and Bibliographic Classification 5734
Russian Trade and Bibliographic Classification 6212

Language:

Russian, English

Keywords:

forest fires, radiation situation, prognostication, method of Bird, dispersion of the Smith–Hosker, convective column, atmospheric turbulence

References

1. Techniques and decision making in the assessment of off-site consequences of an accident in a nuclear facility. Safety series 86. International Atomic Energy Agency. Vienna. 1987. 185 p.

2. Garger E. Resuspension of radioactive aerosol in the ground layer. NASU; Institute for NPP Safety. Chernobyl: Institute for Safety. 2008. 192 p. (Russian).

3. Bird GA. Molecular gas dynamics and direct simulation of gas flows. Oxford: Clarendon press. 1994.

4. Beresneva EV, Gorbunov SV. Prognostication of radiation situation at forest fires in areas of radioactive contamination. Scientific and educational issues of civil protection. Khimki: FSBI CPA of MES of Russia. 2016;3(30):76-80. (Russian).

5. Gusev NG, Belyaev VA. Radioactive emissions in biosphere: Reference book. 2nd edition, updated and revised. Moscow: Energoatomizdat. 1991. 256 p. (Russian).

6. Pasler-Sauer J. Comparative calculations and validation studies with atmospheric dispersion models. Karlsruhe. 1986. 130 p.

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