Mathematical Problems in Engineering

Volume 2014 (2014), Article ID 250852, 9 pages

http://dx.doi.org/10.1155/2014/250852

Research Article

Analysis of Mathematical Model for Migration Law of Radon in Underground Multilayer Strata

Wei Zhang,¹ Dongsheng Zhang,2,3 Xufeng Wang,² Mengtang Xu,² and Hongzhi Wang²

¹IoT/Perception Mine Research Center, National and Local Joint Engineering Laboratory of Internet Technology on Mine, China University of Mining & Technology, Xuzhou 221008, China

²School of Mines, China University of Mining & Technology, Xuzhou 221116, China

³College of Geology & Mining Engineering, Xinjiang University, Urumqi 830046, China

Received 27 November 2013; Accepted 27 January 2014; Published 6 March 2014

Academic Editor: Jian Guo Zhou

Copyright © 2014 Wei Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

This paper summarized the separation process of radon based on its geophysical-chemical properties. Taking into account the geological conditions of mining, the mathematical model of radon migration in underground multilayer strata (UMS) was established to investigate the distribution law of radon concentration in UMS. It was found that the distribution of radon concentration in UMS is affected by both the properties of the strata and the depth of cover and the radon concentration law varies at different depths even in the same layer stratum. At last, in order to validate the derivation result of the mathematical model of radon migration in UMS, the actual measured values (AMV) and the calculated values (CV) were compared further. As a result, the CV was found to be approximately equal to the AMV with deviation values (DV) less than 5%, which indicates that the derivation result of the mathematical model of radon migration in UMS is correct.

1. Introduction

As a main energy resource in China, coal accounts for about 77% and 65% in primary energy production and consumption [1, 2], which plays an important role in nation’s economic development. The result of a latest research conducted by the National Development and Reform Commission shows that the energy structures will not change greatly in the next fifty years [3]. Coal will not account for less than 60% in total energy consumption until 2015, and its ratio in primary energy consumption will reach up to 50% until 2050 (see Figure 1). In the past decades, the total coal production and consumption in China always ranked first in the world. However, coal capacity in China is still insufficient during this time [4], and its average annual increment is more than 0.2 billion tons (see Figure 2). In this situation, coal resources exploitation has become the precondition for economic development of China.

Figure 1: Coal ratio of primary energy consumption in China.

Figure 2: Coal production within thirteen years in China.

According to the latest results of coalfield prediction from China National Administration of Coal Geology [5], the natural overall distribution of coal resources presents north-poor-south-rich and west-more-east-less patterns in China. In recent years, the focus on coal resources exploitation has gradually shifted from east to west areas, which has formed two major mining areas of coal resources in the northwest represented by Inner Mongolia and the southwest represented by Guizhou [6]. However, the buried depths of northwest coalfields are shallow within 200 meters. They are located in the arid and semiarid areas, where the surface ecological environment systems are extremely sensitive [7, 8]. At present, large-scale and high-efficiency longwall mining has been widely used in western shallow coal seams. This has caused the mining-induced fractures to communicate with surface directly from bottom to top and led to a series of safety and environmental disasters including groundwater leakage, vegetation death, land desertification, and coal spontaneous combustion, which have made the potential ecological fragility into reality destruction [9, 10].

Therefore, the determination of spatiotemporal dynamic evolution law of the mining-induced fractures field in overlying strata and its relationship with underground water has been critical when it comes to the mitigation of mining-induced safety issues as well as the adverse environmental consequences in western mining areas in China. At present, there are many research methods for development characteristics of mining-induced fractures in overlying strata [11–15]. However, the existing researches have some common shortcomings, such as heavy workload, complex operation, high cost, and difficulty to access data. Meanwhile, the effects and reliabilities are easy to be influenced by the underground geological conditions, by which it will be difficult to achieve the desired purposes. To solve these problems, geophysical-chemical properties of radon were applied in the field of mining engineering, and then radioactive measurement method was introduced to detect the dynamic evolution process of mining-induced fractures and its aquosity in overlying strata during underground coal mining [16–20]. During the process of radon detection on surface, the issues relative to radon cannot be ignored. The migration law of radon in UMS is the basis of radon detection on site, and the data of radon detection on surface is critical to the inverse analysis of the development characteristics of mining-induced fractures in overlying strata. Based on the inverse analysis, the corresponding control measures of mining techniques will be conducted for solving the three contradictions of coal mining and safety and environmental disasters in western mining areas, China. Hence, before carrying out the research work, the migration law of radon, especially in UMS, should be recognized, which is also the aim of this study.

2. Geophysical-Chemical Properties of Radon and Its Separation Process

2.1. Geophysical-Chemical Properties of Radon

Radon is a form of chemical element with a chemical symbol Rn and atomic number 86. It is a zero group element of the sixth cycle in periodic table of chemical elements. In nature, radon has three kinds of common radioactive isotopes (²¹⁹Rn, ²²⁰Rn, and ²²²Rn). In general, radon refers to ²²²Rn with a half-life of 3.82 days. Radon molecule is a monatomic molecule, and its elemental form is usually gaseous, which is the only heaviest radioactive inert gas in contact with human. In the normal state, radon is colorless, tasteless, and odorless and is easily soluble in water and organic matters. The geophysical-chemical properties of radon are relatively stable, and it is difficult to produce chemical reactions with other substances [21]. As uranium (²³⁸U) decays, it will eventually transform into radon. Since uranium exists in coal, rock, soil, and water with certain content in nature, radon is ubiquitous in natural environment.

In natural conditions, radon has strong migration ability, and it can migrate in geological environments by gaseous or dissolved form with ground water. Radon usually migrates by diffusion and convection effects in underground overlying strata, and the migration distance from underground strata to surface depends on different lithological characters. For example, the vertical migration distance in homogeneous sand is 360–420 m [22–24]. Moreover, the increased phenomenon of radon concentration in surface soil above coal spontaneous combustion area at 400 m depth had been observed in China [25]. These show that radon can migrate from underground overlying strata at 400–500 m depth to surface. Due to the radioactivity of radon, even if the concentration is very small, it can still be measured. Meanwhile, because of its geophysical-chemical properties of inert gas, it can migrate and accumulate in micropores or microfractures. Radon formed by radioactive decay in mining-induced fractures in underground overlying strata can penetrate the surface into air, which provides a basis for detecting radon on surface. For instance, German scholars found abnormal radon concentration in surface soil above the mining-induced area of deep shaft mining [26]. In this literature, the specific mining depth was not mentioned, but it can be deduced that the vertical migration distance is more than 400 m.

2.2. Separation Process of Radon

Separation process of radon means that radon migrates from underground strata to surface and then spreads into the air. The whole separation process of radon can be divided into two stages of free radon generation and migration [27, 28] (see Figure 3). In the first stage, radium atom in media lattice of underground strata will decay into radon atom by emitting -particle, and the radon atom will escape from media lattice under nuclear recoil and emanation effects, then possibly enter into the interconnected microfractures, and thus generate the free radon. In the second stage, the free radon will migrate to the surface under diffusion and convection effects from the media microfractures and then will eventually escape from the surface into the air.

Figure 3: Separation process of radon.

3. Analysis of Mathematical Model for Migration Law of Radon

It is known that the migration of chemical elements in porous media has been extensively studied over the past few years. For example, Srivastava and Jim Yeh developed a three-dimensional numerical model for the simulation of water flow and chemical transport through variably saturated porous media [29]. Diliunas et al. applied the thermodynamical calculation method and the WATEQ4 software to study the forms of chemical elements in water and their impact on migration [30]. Kitano et al. discussed the migration of chemical elements through phases of the atmosphere, hydrosphere, and lithosphere by dissolution experiments [31]. Ueno et al. investigated the vertical distribution patterns of the major and trace elements in the paddy soils derived from weathered volcanic ashes to estimate the relative mobilities of the elements in the paddy environment [32]. Savenko calculated the real water migration coefficients characterizing the mobility of chemical elements in the hypergenesis zone on the basis of basic salt components [33]. However, geochemical migration is an inextricable complex process that leads to the redistribution of chemical elements in subsurface. In this study, based on the migration law of radon in uniform porous media with arbitrary shape (UPMAS) and semi-infinite uniform porous media (SUPM), a mathematical model of radon migration in UMS has been established and the migration law of radon has been analyzed.

3.1. Analysis of Migration Law of Radon in UPMAS

Uniform porous media refer to media with uniform pores distribution, such as shapes, sizes, and properties [34]. Strictly speaking, there are no such ideal media in nature. Underground strata media vary from one mine site to another. Even if, at different positions in the same layer stratum, the parameters of media density and porosity will also be different, this will lead to differences in radon concentration. Comparing to the volumes of the underground strata, their internal porosities and particle sizes are so small that they can be considered as uniform porous media approximately. Based on this hypothesis, the general differential equation of radon migration in UPMAS can be derived.

3.1.1. Mathematical Model Establishment of Radon Migration in UPMAS

It is hypothesized that there is a UPMAS; its whole closed volume is , and the entire closed surface area is . Then, the unit vector of surface element has been chosen as the outer normal direction, and the mathematical model of radon migration in UPMAS can be established (see Figure 4).

Figure 4: Mathematical model of radon migration in UPMAS.

According to diffusion and convection effect, and radioactive decay laws, the change quantity of migratory radon in UPMAS with volume should be equal to the generated migratory radon quantity minus the decayed radon quantity and the separated radon quantity in the unit time, which can be expressed as

where is the radon concentration in micropores of media, Bq/m³; is the media porosity; is the decay constant of radon/s; d is the volume element of media; is the capacity of generating migratory radon in media per unit volume, Bq/m³s; is the diffusion flux of radon through the closed surface with area , Bq/m²s; is the convection flux of radon through the closed surface with area , Bq/m²s.

According to the Gauss divergence theorem, the area integral form of closed surface can be transformed into volume integral form. Based on the and , two formulas can be obtained as

where is the diffusion coefficient of radon, m²/s; is the convection velocity of radon, m/s.

Substituting formula (2) into (1), formula (1) can be further written as

Formula (3) is a form of volume integral on media volume . Hence, differential calculation can be conducted on both sides of the equation. That is to say, formula (3) can be written as

It is clear that and . Hence, two formulas can be obtained as

Substituting formula (5) into (4), the general differential equation of radon migration in UPMAS can be expressed as

3.1.2. Radon Migration Equation in Steady State

Based on the definition of steady state, the change rate of radon concentration in emanation media is equal to zero with time in steady state; namely, [35]. Hence, the migration equation of radon in UPMAS in steady state can be written as

Particularly, one-dimensional condition is the most frequently used condition for radon migration. Hence, the one-dimensional migration equation of radon in steady state in rectangular coordinate system can be expressed as

3.2. Analysis of Migration Law of Radon in SUPM

SUPM, such as the earth surface, can be defined as the uniform porous media with finite on one side and infinite on the other side. Radon migration in SUPM is a one-dimensional problem in steady state, which means that the radon concentration mainly depends on the depth of the location in the semi-infinite emanation media, while they are identical to each other as long as the depths are the same.

3.2.1. Mathematical Model Establishment of Radon Migration in SUPM

It is hypothesized that the earth is a SUPM; the one-dimensional coordinate along depth direction has been selected, and the mathematical model of radon migration in SUPM can be established (see Figure 5).

Figure 5: Mathematical model of radon migration in SUPM.

According to Figure 5, the change of radon quantity for any level thin layer d of SUPM in unit time is mainly composed of three parts: the radon quantity difference in level thin layer caused by diffusion convection effects, which is ; the radon quantity reduction in level thin layer due to radioactive decay of radon element; the radon quantity increase in level thin layer due to radioactive decay of radium element. Hence, the equation can be written as

where is the area of any level thin layer , m².

The radon quantity due to diffusion convection effects in the unit time can be represented as

Hence, d can be represented as

Substituting formulas (10) and (11) into (9), formula (9) can be further expressed as

It is known that the radon concentration will always be constant with time; namely, . Hence, formula (12) can be rewritten as

Formula (13) can be simplified as

The general solution of formula (14) can be derived as

The integral constants of and in general solution can be determined by boundary conditions: when , ; when , has a limit value. Hence, and can be calculated as

Substituting formula (16) into (15), the distribution law of radon concentration in SUPM can be expressed as

3.2.2. Analysis on Distribution Law of Radon Concentration in SUPM

Based on formula (17), it is observed that the distribution state of radon concentration in SUPM conforms to an exponential distribution law and relates to the radon concentration in media boundary. Whichever value the radon concentration takes, the radon concentration will always gradually tend towards a limit value along with the distance away from the surface boundary of media; that is,

When the takes different values, the distribution state of radon concentration in SUPM can be shown in Figure 6.

Figure 6: Distribution state of radon concentration in SUPM with different .

3.3. Analysis of Migration Law of Radon in UMS

In the previous section of this paper. It is hypothesized that the earth is a semi-infinite medium and considered that all properties of medium under surface boundary are the same everywhere. As a matter of fact, the underground strata are composed of multilayer rocks with different lithologies in mining engineering field. They have their own properties, and they are not semi-infinite media. Hence, the migration law of radon is not entirely the same in the different layers. For this proposal, based on the mathematical model of radon migration in SUPM, the mathematical model of radon migration in UMS in accordance with geological conditions of mining has been established, and the migration law of radon in UMS has been analyzed.

3.3.1. Mathematical Model Establishment of Radon Migration in UMS

It is hypothesized that    is a point in the th underground stratum medium and is the depth of relative to the top of the th underground stratum medium; the mathematical model of radon migration in UMS can be established (see Figure 7).

Figure 7: Mathematical model of radon migration in UMS.

Based on the migration equation form of radon in SUPM in steady state, the general migration equation of radon in UMS in steady state can be analogized as

According to the solution of second-order nonhomogeneous linear differential equation in higher mathematics, the general solution of formula (19) can be expressed as

Let be the depth relative to the earth surface; can be expressed as

Hence, formula (20) can be rewritten as

The integral constants of and in the general solution can be determined by the boundary conditions: the radon concentration of two arbitrary contiguous layer strata is equal in parting position, because of the continuity of radon migration from the bottom to the top, and the change rate of radon concentration is also equal in parting position. Hence, the layer and layer can be selected to establish two equations and then determine the integral constant expressions of and . According to formula (22), the radon concentration expressions of the layer and layer can be written as

Based on the two boundary conditions, two equations of and can be obtained. While , , and , a matrix can be written as

According to the Cramer rule in linear algebra, the integral constants of and can be calculated as

Substituting formula (26) into (24), the distribution law of radon concentration in UMS can be expressed as

where ; ; .

3.3.2. Analysis of Distribution Law of Radon Concentration in UMS

Based on formula (27), it is observed that the distribution of radon concentration in UMS is affected by both the properties of the strata and the depth cover. The radon concentration is changed with depth even in the same layer stratum. In formula (27), , , , and are all particular constants; they depend on their own media properties. Meanwhile, the decay constant is also a particular constant. Hence, so long as the specific values of parameters and depths have been known, the radon concentration values in UMS can be calculated. To validate the derivation result of the aforementioned mathematical model of radon migration in UMS, three-layer strata were selected to detect the radon concentration by KJD-2000R continuous emanometer at different depths. Then, the AMV and the CV were compared further. The parameters of specific property and size for the three-layer strata are shown in Table 1 and Figure 8.

Table 1: Parameters of specific property for the three-layer strata.

Names
Symbols
Units
Values

Convection velocity
(, 2, 3)
m/s

Diffusion coefficient
(, 2, 3)
m²/s

Porosity
(, 2, 3)
/
0.4/0.3/0.2

Capacity of generating migratory radon
(, 2, 3)
Bq/m³
3000/4000/5000

Decay constant of radon

/s

Figure 8: Size parameters of three-layer strata.

Substituting the parameters in Table 1 and Figure 8 into formula (27), the radon concentration values of three different depths (2 m, 5 m, and 10 m) in subsurface have been calculated. Meanwhile, the AMV has been detected. The two group values are shown in Figure 9. Based on the results, it is observed that the CV is approximately equal to the AMV with DV less than 5%, which indicates that the derivation result of the mathematical model of radon migration in UMS is correct.

Figure 9: Radon concentration values at three different depths.

4. Conclusions

Separation process of radon can be divided into two stages of free radon generation and migration. In the first stage, the radium atom in media lattice of underground strata decays into radon atom by emitting -particle, and the radon atom escapes from media lattice into the interconnected microfractures under nuclear recoil and emanation effect, thus generating the free radon. In the second stage, under diffusion and convection effects, the free radon migrates to the surface and eventually escapes from the surface into the air.

The mathematical model of radon migration in UMS in accordance with geological conditions of mining has been established; the general migration equation of radon in UMS has been deduced, and the distribution law of radon concentration in UMS has been obtained. The calculation results indicate that the distribution of radon concentration in UMS is affected by both the properties of the strata and the depth of cover and the radon concentration law varies at different depths even in the same layer.

To validate the derivation result of the mathematical model of radon migration in UMS, three-layer strata were selected to detect the radon concentration by KJD-2000R continuous emanometer at different depths. The AMV and the CV were compared showing that the CV is approximately equal to the AMV with DV less than 5%, which indicates that the derivation result of the mathematical model of radon migration in UMS is correct.

Conflict of Interests

The authors declare that they have no financial and personal relationships with other people or organizations that can inappropriately influence their work, and they also declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgments

The research is financially supported by the Fundamental Research Funds for the Central Universities (no. 2013QNB24), Jiangsu Planned Projects for Postdoctoral Research Funds (no. 1302050B), the Sailing Plan of China University of Mining and Technology (no. 2012-05), and the National Natural Science Foundation of China (no. 51264035). The authors are grateful to Lecturer J. Q. Yu for his helpful advice. Special thanks were given to Doctor C. G. Zhang from the University of New South Wales, Australia, for language assistance. They also thank the academic editor Jian Guo Zhou and two anonymous reviewers for their constructive comments.

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