Научная статья на тему 'RELATION OF GAMMA DOSE RATE WITH THE INTENSITY OF RAIN SHOWERS'

RELATION OF GAMMA DOSE RATE WITH THE INTENSITY OF RAIN SHOWERS Текст научной статьи по специальности «Науки о Земле и смежные экологические науки»

CC BY
68
21
i Надоели баннеры? Вы всегда можете отключить рекламу.
Ключевые слова
GAMMA-RADIATION / GAMMA-BACKGROUND / RADON DECAY PRODUCTS / PRECIPITATION / ATMOSPHERE / MATHEMATICAL MODEL

Аннотация научной статьи по наукам о Земле и смежным экологическим наукам, автор научной работы — Zelinskiy A.S., Yakovlev G.A., Fil'Trov D.E.

Experimental and theoretical studies of the influence of the intensity, amount and duration of liquid atmospheric precipitation on the formation of γ-background in the surface layer of the atmosphere are presented. It was observed that precipitation causes an increase in the γ-radiation dose rate in the form of bursts. In this case, the total amount of precipitation in an event determines the magnitude of the burst of the dose rate, and the intensity of precipitation determines the rate of increase in the dose rate of γ-radiation. A mathematical model, which establishes a quantitative relationship between the dose rate of γ-radiation and the intensity (amount) of liquid atmospheric precipitation has been developed and verified (R2 = 0.93).

i Надоели баннеры? Вы всегда можете отключить рекламу.
iНе можете найти то, что вам нужно? Попробуйте сервис подбора литературы.
i Надоели баннеры? Вы всегда можете отключить рекламу.

Текст научной работы на тему «RELATION OF GAMMA DOSE RATE WITH THE INTENSITY OF RAIN SHOWERS»

Вестник КРАУНЦ. Физ.-мат. науки. 2021. Т. 36. №3. C. 189-199. ISSN 2079-6641

INSTRUMENTS AND METHODS OF MEASUREMENT

MSC 86A10 Research Article

Relation of gamma dose rate with the intensity of rain showers

A. S. Zelinskiy1, G. A. Yakovlev2, D. E. Fil'trov3

1 School of Nuclear Science & Engineering, Nuclear Fuel Cycle Department, Tomsk Polytechnic University, 634050, Tomsk, Lenina avenue, 30, Russia

2 Institute of Applied Mathematics and Computer Science, Tomsk State University, 634050, Tomsk, Lenina avenue, 36, Russia

3 Institute of Monitoring of Climatic and Ecological Systems of Siberian Branch of the Russian Academy of Sciences, 634050, Tomsk, Academichesky Avenue, 10/3, Russia

E-mail: azelinskiys@yandex.ru

Experimental and theoretical studies of the influence of the intensity, amount and duration of liquid atmospheric precipitation on the formation of /-background in the surface layer of the atmosphere are presented. It was observed that precipitation causes an increase in the /-radiation dose rate in the form of bursts. In this case, the total amount of precipitation in an event determines the magnitude of the burst of the dose rate, and the intensity of precipitation determines the rate of increase in the dose rate of /-radiation. A mathematical model, which establishes a quantitative relationship between the dose rate of /-radiation and the intensity (amount) of liquid atmospheric precipitation has been developed and verified (R2 = 0.93).

Keywords: gamma-radiation, gamma-background, radon decay products, precipitation, atmosphere, mathematical model.

DOI: 10.26117/2079-6641-2021-36-3-189-199

Original article submitted: 30.09.2021 Revision submitted: 13.10.2021

For citation. Zelinskiy A. S., Yakovlev G.A., Fil'trov D. E. Relation of gamma dose rate with

the intensity of rain showers. Vestnik KRAUNC. Fiz.-mat. nauki. 2021,36: 3,189-199. DOI:

10.26117/2079-6641-2021-36-3-189-199

The content is published under the terms of the Creative Commons Attribution 4.0 International

License (https://creativecommons.org/licenses/by/4.0/deed.ru)

© Zelinskiy A.S., Yakovlev G.A., Fil'trov D. E., 2021

Introduction

The monitoring of y-radiation background of the surface layer of the atmosphere has been carried out for many decades. It has been shown that the y-dose rate is not constant in time and space and depends on various factors such as the state of the atmosphere, time of day, season and geological and geographical characteristics of

Funding. The study was carried out without financial support from foundations.

the investigated region [1, 2, 3, 4, 5]. It has also been repeatedly found that periods of precipitation are accompanied by anomalous increases (bursts) of y-radiation background [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]. This phenomenon is explained by the processes of washing out of short-lived p - and y-emitting decay products of radon and thoron from the atmosphere onto various surfaces (soil, various coatings) and known as "radon washout" [3].

Attempts to find a quantitative relationship between the intensity of precipitation and the magnitude of bursts of y-radiation dose rate were undertaken earlier [2, 7, 9, 17, 18], but no significant relationship was found. Perhaps this was due to the insufficient temporal resolution of the data [19]. Additionally, the washout capability of precipitation depends on rainfall duration and intensity [10, 20, 21]. In [5], the absence of a significant relationship between the intensity of precipitation and the magnitude of bursts of y-radiation dose rate was explained that during precipitation the atmosphere is cleared and the amount of radon decay products decreases. Consequently, the next event with the same intensity will result in less precipitated radon decay products.

The "rainout-washout" model developed in [2], which divides the atmosphere into two parts of in-the-cloud and under-the-cloud, has not yet received experimental confirmation. Moreover, it significantly complicates theoretical calculations due to the many poorly known input parameters of the model.

A number of models, each with different levels of complexity and based on different assumptions, have been developed to analyse rainfall-related radon progeny peaks in the ambient gamma dose considering the various processes involved [2, 6, 16, 17]. Nevertheless, there is still no mathematical model describing the relationship between the excess in dose rate and the mean value of intensity or amount of precipitation in one event.

To establish a quantitative relationship between the intensity, the amount of liquid atmospheric precipitation and the magnitude of the burst of the radiation y-background of the surface atmosphere, radiation monitoring must be synchronized with the measurement of the dynamics of precipitation intensity. Measurements must be made with a good temporal resolution, allowing for not only qualitative, but also quantitative analysis. In addition, the equipment for radiation and meteorological monitoring should not be far apart [15].

Considering the above, the goal of our work was to develop a mathematical model establishing a quantitative relationship between the dose rate of y-radiation and the characteristics of precipitation.

Experiment equipment

In 2017, starting from snow melt and until the beginning of the establishment of snow cover, the y-radiation dose rate and the y-radiation flux density were measured with a high data sampling rate of 1 minute, using the BDKG-03 scintillation detector (manufactured by ATOMTEX, Republic of Belarus). The BDKG-03 detector contains a NaI(Tl) scintillator with dimensions 025x40 mm as a sensitive element. The range of registered y-radiation energies is from 50 keV to 3 MeV. BDKG-03 detectors were installed at the experimental sites of geophysical observatory of Institute of Monitoring of Climatic and Ecological Systems of Siberian Branch of the Russian Academy of Science on a meteorological mast at heights of 1 m, 5 m and 10 m, and also on the roof of the

building at a height of 21 m. In this work, we will consider only the data of a y-radiation detector installed at a height of 1 m from the earth's surface. Precipitation intensity data with a high temporal resolution were recorded by the Davis Rain Collector II shuttle rain gauge (Davis Instruments, USA), the WXT520 meteorological station (Vaisala, Finland), and the OPTIOS optical (laser) rain gauge [22]. The volumetric activity of radon isotopes and daughter products of their decay in the atmosphere was monitored by an EQF 3200 radiometer (SARAD, Germany) installed at a distance of about 10 m from the meteorological mast at a height of 1 m from the earth's surface. Periodic measurements of the volumetric activity of radon isotopes and daughter products of their decay were carried out by the measuring complex "Alfarad plus - AR" (OOO NTM-Zashchita, Moscow, RF). To measure the radon flux density from the soil surface, an Alfarad plus-AR radiometer was used complete with an autonomous blower and an accumulation chamber.

Further in this work, we will consider only the process of washing out of the radon decay products (DPs) by precipitation (under-the-cloud).

Reaction of /-background on liquid precipitation

During the period of studies of the dynamics of the dose rate of y-radiation, the flux density of y-radiation in the near-ground atmosphere, the intensity and amount of liquid atmospheric precipitation, bursts in the y-background were detected. These bursts occurred synchronously with the periods of precipitation. The general picture of synchronously appearing bursts in the atmospheric y-background at an altitude of 1 m and rainfall precipitation in summer 2017 is illustrated in Fig. 1.

Fig. 1. An example of different shapes of the bursts of the y-radiation background. First is y-background in Sv/h; Second is the intensity of precipitation in mm/h

A detailed analysis of long-term experimental data on the y-background showed that all the detected bursts that do not have a certain periodicity are caused by precipitation (excluding bursts caused by errors in the operation of the y-radiation detectors). Analysis

of the experimental data (Fig. 1) showed that the magnitude of the burst in the y-background does not always correlate with the intensity of precipitation I(t), as well as the amount of precipitation Q(t), which is in good agreement with the experimental data on the y-background [7, 9, 17].

Next, we will consider in more detail the structure of an individual burst and a series of bursts in the y-background and analyze the effect of rain shower, taking into account the change in the meteorological state of the surface atmosphere on the dose rate of y-radiation. The analysis of the results of the experiment to study the effect of heavy rain showers on the radiation background of the surface atmosphere allowed us to determine that the rate of increase in the dose rate of y-radiation, which is characterized by the derivative dy/dt, is determined by the current intensity of precipitation I(t). Also we founded that the total amount of precipitation Q(t) determines the magnitude of the burst in the dose rate of y-radiation. I was obtained that the time of the end of precipitation corresponds to the maximum in the burst of the dose rate of y-radiation, and after the end of precipitation, the dose rate quasi-exponentially decreases to the background value due to the radioactive decay of 214Pb and 214Bi.

The obtained experimental results formed the basis for a model for quantitative assessment of the characteristics of rain showers based on data on the change in the dose rate of y-radiation radiation.

The Model for determining the intensity of rain shower from the Y-background of the surface atmosphere

The burst in the dose rate is caused by the y-radiation of the short-lived daughter decay products of radon 214Pb and 214Bi deposited by precipitation on the earth's surface, as the main contributors to the total dose rate, in comparison with other decay products of radon and thoron.

Analysis of both experimental data and theoretical material from the field of nuclear physics and the interaction of ionizing radiation with matter allows us to assert that the magnitude of the burst in the dose rate of y-radiation AH (dose rate excess), uSv/h, is proportional to the activity AsDPs, Bq/m2, of radionuclides washed out onto the earth's surface, each of which makes a constant contribution to the total dose rate H of y-radiation of the surface atmosphere at a certain height R, m, from the earth's surface, depending on the nuclear-physical characteristics of the radionuclide.

AH(R) - ADPS. (1)

The value of AH can be determined from experimental data (at R=1 m) as

AHH = Hend - Hb, (2)

where Hb is the value of the dose rate of y-radiation at the moment of the beginning of the fallout of liquid atmospheric precipitation, which is defined in the data time series as a point after which a continuous increase in the dose rate is observed during the time tend to the maximum value of Hend, uSv/h;Hend is the maximum value of the y-radiation dose rate in the "burst" , uSv/h.

The dose rate of y-radiation created at a distance R from the earth's surface (as a radionuclide source) by a certain j-th radionuclide of unit activity Hj Bq is a constant value, i.e. constant for the j-th radionuclide [23].

So, knowing the activity of deposited on the earth's surface radionuclides and dose coefficients per unit activity H/jBq or these radionuclides at R=1 m, it is possible to establish an exact equality between the measured burst value (excess) of the dose rate of y-radiation and the activity of radionuclides washed out onto the earth's surface:

AH/ = ¿j ■ As, \L Sv/h, (3)

j=1

where j is a radionuclide and n is the amount of deposited radionuclides.

The quantity H/jBq, called the dose-equivalent rate per unit of activity for j-radionuclide at a specified distance R from a radiating object of arbitrary geometric shape, can be calculated using the specific gamma-ray dose constant (SGRDC) [23] from equations described in [24, 25, 26], as well as with the help of GEANT4.

For this work, the dose coefficients for 214Pb and 214Bi were calculated using GEANT4 [27] at an altitude of R = 1 m from the earth's surface for a disk source with a radius of 500 m, taking into account the lower threshold for registration of y-radiation by the BDKG-03 detectors equal to 50 keV. The standard set of physical processes QGSP_BIC_HP built into GEANT4 was used with some modification for our task, similar to the example "extended/radioactivedecay/rdecay02" from the GEANT4 library. The statistics were 20 billion events for each individual calculation (radionuclide). Dose coefficients were:

^214 = 8.48 ■ 10- (4)

"Bi-1,4 = 4.86-BSs2- (5)

The activity ADPs of deposited by precipitation on the earth's surface radionuclides will be determined by making the assumption that in the clouds the activity of the decay products of radon 214Pb and 214Bi is negligible, or they almost decayed during the cloud movement, and it can be neglected. In this case, the activity AsDPs of deposited radionuclides depends on their total activity in the atmosphere, the intensity and duration of precipitation, or the amount of precipitation. If we consider an air column with a base of 1 m2 and a height of h, m, then the activity of radionuclides deposited on the earth's surface over the entire period of precipitation will be determined from the expressions:

en

APb-214 = (Apb-214(z) ■ Q ■ k1 ■ k2)dz = Apg,_214■1■ tend ■ £1 ■ £2, Bq/m2; (6) ■ 0 !■ h

ABi-214 = (AaBi-214(z) ■ Q ■ k1 ■ k2)dz = 214 ■1 ■ tend ■ ■ ^2, Bq/m2; (7) Jo

where k1 is the coefficient of the absolute washout capability of precipitation, equal to 36 m- -1 (10 -5 h/(mm■ s)) [28] , m 1; k2 is the coefficient of the relative washout capability of precipitation, equal to 2.8 for a rain shower, 1 - for rain, 4.5 - for drizzle [28], rel. units; Q is the amount of precipitation in one event, m; I is the average intensity of precipitation, m/s; tend is the duration of precipitation, s; A£b_214(z) and AB;_214(z) are the functions of the volumetric activity distribution of 214Pb and 214Bi with height z in the atmosphere, Bq/m3; Apb_214 and ABn_214 are the integral values of the volumetric

activities of 214Pb and 214Bi in the atmospheric column with a base of 1 m2 and a height of h, Bq/m2.

When a radioactive equilibrium is reached in the atmosphere between radon and its short-lived decay products, and at h —^ Apb—214 and AB^214 can be determined by the value of the radon flux density from the soil surface qRn, Bq • m-2 • s-1, from a simple relation

A<Pb-214 = ABi-214 = qRn/^Rn (8)

where XRn is the radioactive decay constant of radon 222Rn, s-1.

The values of Aapb_214 and ABh_214 can also be calculated knowing the distribution functions of 214Pb and 214Bi with height, for example, from the equations for the transfer of radon isotopes and their decay daughter products in the surface atmosphere.

Let us open the left and right sides of equality (3), using expressions (6), (8), and take into account that 214Pb and 214Bi are the main dose-forming radionuclides of the short-lived decay products of radon isotopes. We obtain the final formulas for assessing the average values of the amount and intensity of liquid atmospheric precipitation for one event:

Q =_fan • AH_ ; (9)

Q = , , iTj1Bq , T>1Bq ^ m' (9)

qRn • k1 • k2 • (Hab-214 + HBi-214^

^Rn • AHH , nr.,

I =-T5-T5-, m/s; (10)

t- t- (tj1Bq | tv1 Bq \

qRn • k1 • k2 • ^end • \Hab—214 + HBi—214/

The proposed model makes it possible to determine both the intensity of liquid atmospheric precipitation in m/s (mm/h) and their amount in m (mm), it is suitable for both single measurements and for long-term automated monitoring of the intensity of the liquid phase of precipitation, if dosimeters or y-radiation detectors operating in monitoring mode.

Since AH/ in equation (9) end (10), it is determined by a simple difference (see equation (2), due to this, (9) does not take into account the radioactive decay occurring with Pb-214 and Bi-214. In order to obtain corrections for the radioactive decay occurring in rainwater, it is necessary to create groups of differential equations. One of which will not take into account radioactive decays:

dAPb-214(t) = w.x Ah (t )

dt =L(t) Aab-214(t^ (11)

= L(t) • ABi-214 (t)

where L(t) = I(t) • k1 • k2 is a function of the washout coefficient versus time. And the second one takes into account radioactive decays:

dApb 214 (t) h s s -—- = L(t) • Aab-214(t) + ^Pb-214 • APo(t) - ^Pb-214 • APb-214(t), ,

dAs (t) (12)

-l—- = L(t) • ABi-214(t) + ^Bi-214 • APb-214(t) - ^Bi-214 • ABi-214(t)'

To find the correction coefficients, we divide the right parts of group equation (12) to the corresponding right-hand parts of the system (11). That is:

kpb-214(t) " -).AV214(t)-'

, fA L(t)-AK-214(t)+AK-214 •APfc-214(t MK-214^|i-214(t )

kBi-214(t ) = LitM^Ô ■

(13)

where kPb-214(t) is a coefficient that takes into account the processes of changing the activity of Pb-214 in rainwater; kBi_214(i) is a coefficient that takes into account the processes of changing the activity of Bi-214 in rainwater. Now rewrite the equation (11) and the subsequent one taking into account the obtained coefficients:

Ar„ ■ AiH

Q =-TjB-HlB-, m; (14)

■ k1 ■ k2 ■ 214 ■ kPb-214(t) + 214(t) ■ / = _' AHH_, m/s; (15)

■ k1 ■ k2 ■ W ■ (HHP1B-? 214 ■ 214 (t) + kBi-214(t) ■ ^Bf^^

For convenience, in Table 1, we present the coefficients found depending on the duration and intensity of precipitation.

Table 1

The coefficients kPb-214; kBi-2i4 depending on the duration (D) and intensity of precipitation

D, min. Precipitation intensity, mm/h

0.5 1 3 5 7 10 20 30 40 50 100

10 .97;.99 .93;.95 .95;.97 .96;.98 .95;.97 .92;.93 .90;.92 .89;.91 .87;.89 .85;.86 .72;.74

20 .94;.99 .89;.94 .89;.94 .88;.93 .88;.93 .83;.88 .81;.85 .78;.82 .73;.77 .70;.73 .52;.54

30 .89;.98 .82;.90 .83;.90 .81;.89 .80;.87 .77;.84 .71;.77 .66;.72 .63;.68 .57;.62 .41;.44

40 .77;.88 .77;.87 .76;.86 .73;.83 .72;.82 .69;.78 .63;.70 .58;.64 .52;.58 .48;.53 .33;.35

iНе можете найти то, что вам нужно? Попробуйте сервис подбора литературы.

50 .74;.86 .74;.85 .73;.84 .70;.81 .69;.79 .65;.75 .59;.67 .54;.61 .48;.54 .44;.50 .29;.32

60 .66;.78 .64;.76 .63;.75 .61;.72 .59;.7 .57;.67 .51;.6 .43;.5 .39;.45 .35;.40 .23;.25

70 .48;.58 .48;.58 .47;.57 .45;.54 .44;.53 .40;.49 .37;.44 .33;.39 .29;.34 27;.31 .17;.19

80 .35;.44 .34;.42 .34;.42 .33;.42 .32;.40 31;.38 .27;.33 .25;.30 .22;.26 .20;.23 13;.14

90 .26;.33 .25;.33 .25;.32 .24;.31 .24;.30 .22;.28 .21;.26 .18;.22 .16;.20 15;.18 09;.11

100 .19;.25 .19;.25 .18;.24 .18;.23 .17;.22 .16;.21 .15;.19 13;.17 12;.15 11;.13 .07;.09

110 14;.19 13;.18 .13;.18 13;.17 13;.17 .12;.16 11;.14 .09;.12 08;.11 .08;.10 .05;.06

120 1;14 1;14 1;.13 .09;.13 .09;.13 .08;.12 08;.11 .07;.09 .06;.08 .06;.07 .04;.05

The model verification

The model for determining the intensity and amount of liquid precipitation from the values of the y-radiation dose rate measured at a height of 1 m from the earth's surface was verified using the data of radiation and geophysical monitoring carried out in 2017. For the analysis, 44 precipitation events were selected.

To verify the model, the following precipitation events were not taken into account: a) precipitation leading to complex responses in the y-background with 2 or more maxima; b) precipitation that does not give a clearly defined "peak" in comparison with the

detector noise. After filtering out these events, only 44 cases remained, associated with rain shower and an increase in the dose rate (pulse counting rate) of y-radiation, for which the average values of the intensity and amount of precipitation were calculated.

The average value of the radon flux density from the soil surface measured during the period under consideration varied in the range from 18.2±5.5 to 27.6±8.3 mBq• m-2 • s-1. The comparison of the mean values of the rain shower intensity calculated by the model and measured by the shuttle precipitation gauge precipitation events is shown in Figure 2.

Intensity, mm/h (shuttle precipitation gauge) Intensity, mm/h (shuttle precipitation gauge)

Fig. 2. Comparison of the average precipitation intensity for the event, measured by the shuttle precipitation gauge and: a) intensity estimated by the model; b) dose rate excess AHH, with the linear regression (solid line)

Regression analysis (linear regression in Fig. 2a) showed goodness of fit between theoretical and experimental data on the average precipitation intensity for the event. Despite the fact that not all clouds were of the same origin (frontal cloudiness, air-mass cloudiness or mesoscale systems), the proposed the model showed good efficiency for its application in practice, proved by the linear regression coefficient (R2 = 0.93) between the measured and estimated values of the mean per event intensity.

In order to reliably verify that there is no correlation between bursts in the gamma background and the intensity of precipitation, which, as it was believed earlier, should exist, Fig. 2b shows a comparison of the excess of the gamma dose rate over the background AH/ measured at the burst maximum and measured by the shuttle precipitation gauge of average values of the intensity of showers for the same events. R-squared value found to be 0.24 reliably confirms this.

Reducing the sampling rate of the data leads to an increase in the error. In order to obtain a higher temporal resolution while maintaining the error at the same level or less, it is necessary to use more sensitive detector (for example, NaI(Tl) scintillator with a larger sensitive volume). This will make it possible to more accurately identify areas in the dynamics of the y-background with different growth rates (slope of the derivative).

Conclusion

Analysis of the results of a 7-month experiment to study the characteristics of the reaction of the atmospheric y-background to liquid atmospheric precipitation made it

possible to establish a quantitative relationship between the dose rate of y-radiation and the characteristics of precipitation, and draw the following conclusions: i) the rate of increase in the dose rate of y-radiation during a period of heavy rainfall, or the dose rate time derivative, is determined by the current intensity of precipitation I(t); ii) the total amount of precipitation Q(t) that fell during one event determines the magnitude of the burst (excess over the y-background level) of the y-radiation dose rate; iii) the timing of the end of precipitation, followed by the radioactive decay of the radionuclides 214Pb and 214Bi deposited on the earth's surface, is determined by the time of the onset of the maximum in the burst of the dose rate of y-radiation.

To establish a quantitative relationship between the dose rate of y-radiation and the intensity (amount) of rain shower, a mathematical model was developed. Verification of this model for 44 rain shower events selected for the period under study showed good efficiency proved by the linear regression coefficient (R2 = 0.93) between the measured and estimated values of the average rainfall intensity for the event.

Acknowledgments

The authors express their deep gratitude to Professor Yakovleva Valentina S. of the Department of Nuclear Fuel Cycle of TPU for productive discussions and consulting and PhD Kobzev Alexey A. of the Institute of Monitoring of Climatic and Ecological Systems of Siberian Branch of the Russian Academy of Sciences for the provided data on precipitation.

Competing interests. The authors declare that there are no conflicts of interest regarding authorship and publication.

Contribution and Responsibility. All authors contributed to this article. Authors are solely responsible for providing the final version of the article in print. The final version of the manuscript was approved by all authors.

References

1. Beck H. L. Gamma radiation from radon daughters in the atmosphere//Journal of Geophysical Research, 1974. vol. 79(15), pp. 2215-2221.

2. Takeuchi N., Katase A. Rainout-washout model for variation of environmental gamma-ray intensity by precipitation//Journal of Nuclear Science and Technology, 1982. vol. 19(5), pp. 393-409.

3. Thompson I.M.G., Botter-Jensen L., Deme S., Pernicka F., Saez-Vergara J. C. Technical recommendations on measurements of external environmental gamma radiation doses, EURADOS report 1999: Office for Official Publications of the European Communities, 1999.

4. Lebedyte M., Butkus D., Morkunas G. Variations of the ambient dose equivalent rate in the ground level air//Journal of environmental radioactivity,2003. vol.64(1), pp. 45-57.

5. Datar G., Vichare G., Raghav A., Bhaskar A., Sinha A. K., Nair K.U. Response of Gamma-Ray Spectrum During Ockhi Cyclone// Frontiers in Earth Science, 2020. vol.8, no. 15.

6. Mercier J. F., et al. Increased environmental gamma-ray dose rate during precipitation: a strong correlation with contributing air mass. //Journal of environmental radioactivity, 2009. vol. 100, no. 7, pp. 527-533.

7. Fujinami N., Watanabe T., Tsutsui T. Looping variation of correlation between radon progeny concentration and dose rate in outdoor air// In Radioactivity in the Environment, 2005. vol.7, pp. 284-289.

8. Hiemstra P. H., Pebesma E.J., Heuvelink G.B., Twenhofel C.J. Using rainfall radar data to improve interpolated maps of dose rate in the Netherlands //Science of the total environment, 2010. vol. 409(1), pp. 123-133.

9. Burnett J. L., Croudace I. W., Warwick P. E. Short-lived variations in the background gamma-radiation dose//Journal of Radiological Protection, 2010. vol. 30(3), pp. 525.

10. Liu H., Daisuke K., Motokiyo M., Hirao S., Moriizumi J., Yamazawa H.On the characteristics of the wet deposition process using radon as a tracer gas//Radiation protection dosimetry,2014. vol. 160(1-3), pp. 83-86.

11. Livesay R.J., Blessinger C.S., Guzzardo T.F., Hausladen P. A. Rain-induced increase in background radiation detected by Radiation Portal Monitors //Journal of environmental radioactivity, 2014. vol.137, pp. 137-141.

12. Yakovleva V. S.In-situ measuring method of radon and thoron diffusion coefficient in soil// Vestnik KRAUNC. Fiziko-Matematicheskie Nauki, 2014. vol.8, no. 1, pp. 81-85 (in Russian).

13. Yakovleva V. S., Parovik R. I. Numerical solution of of diffusion advection equation of radon transport in many-layered geological media// Vestnik KRAUNC. Fiziko-Matematicheskie Nauki, 2011. vol. 1(2), pp. 46-56 (in Russian).

14. Yakovleva V. S. (2010) Modelirovanie vliyaniya sostoyaniya i izmenchivosti atmosfery i litosfery na plotnost' potokov radona i torona s poverkhnosti zemli//Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov, 2010. vol. 317(2) (in Russian).

15. Barbosa S.M., Miranda P., Azevedo E. B. Short-term variability of gamma radiation at the ARM Eastern North Atlantic facility (Azores)//Journal of environmental radioactivity, 2017. vol.172, pp. 218-231.

16. Melintescu A., Chambers S.D., Crawford J., Williams A. G., Zorila B., Galeriu D. Radon-222 related influence on ambient gamma dose// Journal of environmental radioactivity, 2018. vol. 189, pp. 67-78.

17. Takeyasu M., Iida T., Tsujimoto T., Yamasaki K., Ogawa Y. Concentrations and their ratio of 222Rn decay products in rainwater measured by gamma-ray spectrometry using a low-background Ge detector// Journal of environmental radioactivity, 2006. vol.88, no. 1, pp. 74-89.

18. Eckerman K., Endo A. Observational study of the scavenging of radon daughters by precipitation from the atmosphere//Environment International, 1996. vol.2, pp. 181-185.

19. Seasonal and spatial variations of enhanced gamma ray dose rates derived from 222Rn progeny during precipitation in JapanAtmospheric Environment, 2007. vol.41, no. 37, pp. 8043-8057.

20. Gusev A. A., Martin I.M., Alves M.A., de Abreu A. J. Simulation of the radiation fallout from gamma-ray measurements //Modeling Earth Systems and Environment, 2015. vol. 1, no. 3, pp. 18.

21. Moriizumi J., Kondo D., Kojima Y., Liu H., Hirao S., Yamazawa H. 214Bi/214Pb ra- dioactivity ratio in rainwater for residence time estimation of cloud droplets and raindrops //Radiation protection dosimetry,2015. vol.167, no. 1-3, pp. 55-58.

22. Kalchikhin V. V., Kobzev A. A., Korolkov V. A., Tikhomirov A. A. Results of optical precipitation gage field tests// Atmospheric and Oceanic Optics, 2018. vol.31, no. 5, pp. 545-547.

23. Eckerman K., Endo A. ICRP Publication 107. Nuclear decay data for dosimetric calculations. Gamma radiation from radon daughters in the atmosphere// Annals of the ICRP, 2008. vol.38, no.3, pp. 7.

24. Jaeger R. G., Blizard E. P., Grotenhuis M., Honig A., Jaeger T. A., Eisenlohr H.H. Engineering compendium on radiation shielding, Shielding fundamentals and methods, vol. 1. New York: Springer, 1968.

25. Bevelacqua J.J. Appendix II: Basic Source Geometries and Attenuation Relationships // Contemporary Health Physics, 2009 https://doi.org/10.14498/9783527626809.

26. Shultis J.K., Faw R. E. Radiation shielding and radiological protection, Handbook of nuclear engineering, 2010.

27. Agostinelli S. et al. GEANT4—a simulation toolkit// Nuclear instruments and methods in physics research section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2003. vol. 506, no. 3, pp. 250-303.

28. Butner E. K., Gisina F. A. Effective coefficient of capture of aerosol particles by rain and cloudy drops//Proceedings of LGMI. vol.15, pp. 103-117 (In Russian).

Вестник КРАУНЦ. Физ.-Мат. Науки. 2021. Т. 36. №. 3. С. 189-199. ISSN 2079-6641

ПРИБОРЫ И МЕТОДЫ ИЗМЕРЕНИЙ

УДК 551.594.1+551.594.2+551.515.4 Научная статья

Связь мощности дозы гамма-излучения с интенсивностью

ливневых осадков

A. С. Зелинский1, Г. A. Яковлев2, Д. Е. Фильтров3

1 Томский политехнический университет, 634050, г. Томск, пр. Ленина, 30, Россия

2 Томский государственный университет 634050, г. Томск, пр. Ленина, 36, Россия

3 Институт мониторинга климатических и экологических систем СО РАН, 634050, г. Томск, пр. Академический, 10/3, Россия.

E-mail: azelinskiys@yandex.ru

Представлены экспериментальные и теоретические исследования влияния интенсивности, количества и продолжительности жидких атмосферных осадков на формирование /-фона в приземном слое атмосферы. Было замечено, что осадки вызывают увеличение мощности дозы /-излучения в виде всплесков. В этом случае общее количество осадков в событии определяет величину всплеска мощности дозы, а интенсивность осадков определяет скорость увеличения мощности дозы /-излучения. Разработана и проверена математическая модель, устанавливающая количественную связь между мощностью дозы /-излучения и интенсивностью (количеством) жидких атмосферных осадков (R2 = 0,93).

Ключевые слова: гамма-излучение, гамма-фон, продукты распада радона, осадки, атмосфера, математическая модель.

DOI: 10.26117/2079-6641-2021-36-3-189-199

Поступила в редакцию: 30.09.2021 В окончательном варианте: 13.10.2021

Для цитирования. Zelinskiy A. S., Yakovlev G. A., Fil'trov D.E. Relation of gamma dose rate with the intensity of rain showers // Вестник КРАУНЦ. Физ.-мат. науки. 2021. Т. 36. № 3. C. 189-199. DOI: 10.26117/2079-6641-2021-36-3-189-199

Конкурирующие интересы. Авторы заявляют, что конфликтов интересов в отношении авторства и публикации нет.

Авторский вклад и ответственность. Все авторы участвовали в написании статьи и полностью несут ответственность за предоставление окончательной версии статьи в печать. Окончательная версия рукописи была одобрена всеми авторами.

Контент публикуется на условиях лицензии Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/deed.ru)

© Зелинский A. С., Яковлев Г. A., Фильтров Д. Е., 2021

Финансирование. Исследование выполнялось без финансовой поддержки фондов.

i Надоели баннеры? Вы всегда можете отключить рекламу.