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Ye Y, Shang S, Zhang Y. Theoretical model for calculating and adjusting radon activity concentration in ventilation networks of uranium mines considering pressure drop effect. JOURNAL OF ENVIRONMENTAL RADIOACTIVITY 2024; 276:107440. [PMID: 38669858 DOI: 10.1016/j.jenvrad.2024.107440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 03/30/2024] [Accepted: 04/20/2024] [Indexed: 04/28/2024]
Abstract
The radiation dose of workers in underground uranium mines mainly comes from radon and radon progeny. To ensure a healthy and safe work environment, it is necessary and urgent to optimize the design of ventilation systems. As such, based on the simplified radon diffusion-advection migration model of the rocks, this paper proposes 1) two methods for determining the radon exhalation rate modified by pressure drop, 2) three methods for calculating radon activity concentration of single-branch, and 3) the novel adjustment algorithm and solving procedures for calculating and adjusting the radon activity concentration in ventilation networks by modifying the radon exhalation rate, demonstrated on a specific ventilation network in a simulated underground uranium mine with calculation and analysis via MATLAB. The results show that 1) the radon exhalation rate of different branches can be modified by their pressure drop, and 2) the proposed method can be used to reveal the influences of different ventilation methods and fan pressures on the radon activity concentration in the ventilation network and the radon release rate to the atmosphere.
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Affiliation(s)
- Yongjun Ye
- School of Resources Environment and Safety Engineering, University of South China, Hengyang, Hunan, 421001, China; Key Discipline Laboratory for National Defense for Biotechnology in Uranium Mining and Hydrometallurgy, University of South China, Hengyang, Hunan, 421001, China
| | - Shanwei Shang
- School of Resources Environment and Safety Engineering, University of South China, Hengyang, Hunan, 421001, China
| | - Yingpeng Zhang
- School of Resources Environment and Safety Engineering, University of South China, Hengyang, Hunan, 421001, China
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Chen D, Ye Y, Xia M, Shang S, Yan Z, Chung LK. Numerical simulations of radon exhalation from surrounding rocks of single and double underground roadways. JOURNAL OF ENVIRONMENTAL RADIOACTIVITY 2024; 273:107388. [PMID: 38266320 DOI: 10.1016/j.jenvrad.2024.107388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 01/15/2024] [Accepted: 01/16/2024] [Indexed: 01/26/2024]
Abstract
The radon exhalation rate of surrounding rocks in underground roadways is an important parameter in determining radon exhalation capacity and ventilation flowrate for radon removal. By approximating the roadways as thick-walled, porous cylinders, this study investigates radon exhalation from their surrounding rocks via simulations using computational fluid dynamics (CFD). Radon exhalation rates of single and double underground roadways were computed and analysed under different pressure differences, radon diffusion coefficients, permeabilities of rocks, single roadway locations and additional parallel roadway orientation. The radon regulating zone was presented and the effect of pressure difference on it was analysed. By fitting the data from simulation results, an estimation model was obtained for the radon exhalation rate of a single roadway. For two adjacent parallel roadways with a distance greater than or equal to 50m, the model is also suitable for estimating the radon exhalation rate when the rock permeability is less than 1 × 10-14 m2 and the ratio of permeability to diffusion coefficient is less than 5 × 10-9.
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Affiliation(s)
- Daijia Chen
- Key Discipline Laboratory for National Defense for Biotechnology in Uranium Mining and Hydrometallurgy, University of South China, Hengyang, Hunan, 421001, PR China; School of Resources and Environment Safety Engineering, University of South China, Hengyang, Hunan, 421001, PR China
| | - Yongjun Ye
- Key Discipline Laboratory for National Defense for Biotechnology in Uranium Mining and Hydrometallurgy, University of South China, Hengyang, Hunan, 421001, PR China; School of Resources and Environment Safety Engineering, University of South China, Hengyang, Hunan, 421001, PR China.
| | - Ming Xia
- Key Discipline Laboratory for National Defense for Biotechnology in Uranium Mining and Hydrometallurgy, University of South China, Hengyang, Hunan, 421001, PR China; School of Resources and Environment Safety Engineering, University of South China, Hengyang, Hunan, 421001, PR China
| | - Shanwei Shang
- Key Discipline Laboratory for National Defense for Biotechnology in Uranium Mining and Hydrometallurgy, University of South China, Hengyang, Hunan, 421001, PR China; School of Resources and Environment Safety Engineering, University of South China, Hengyang, Hunan, 421001, PR China
| | - Zhiguo Yan
- The Fourth Research and Design Engineering Corporation, China National Nuclear Corporation, Shijiazhuang, 050021, PR China
| | - Long Kiu Chung
- Department of Nuclear Engineering and Radiological Sciences, University of Michigan, 2355 Bonisteel Blvd., Ann Arbor, MI, 48104, USA
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Wang H, Xie B, Wang Y, Wen J, Hong C. Influence of temperature on the radon concentration distribution in ramp under low-speed wind field: A numerical simulation study. JOURNAL OF ENVIRONMENTAL RADIOACTIVITY 2024; 272:107331. [PMID: 38008047 DOI: 10.1016/j.jenvrad.2023.107331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 11/08/2023] [Accepted: 11/09/2023] [Indexed: 11/28/2023]
Abstract
By introducing the parameters of radon exhalation rate and radon diffusion coefficient, the distribution of radon concentration field on ramp under the condition of superposition of temperature field and flow field is simulated. The simulation results show that the distribution of radon concentration in the ramp under the condition of low-speed ventilation is greatly affected by the temperature field and flow field, and the change of radon exhalation caused by temperature is the main factor leading to the change of radon concentration in the ramp. The change of temperature will cause the overall increase of radon concentration in the ramp. Under the condition of constant flow field, the radon concentration in the chamber is more than two times higher than the average radon concentration in the ramp. Some areas severely exceeded the limit.
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Affiliation(s)
- Hong Wang
- School of Resources, Environmental and Safety Engineering, University of South China, Hengyang, 421001, China; School of Nuclear Science and Technology, University of South China, Hengyang, 421001, China; Hunan Province Engineering Technology Research Center of Uranium Tailings Treatment, University of South China, Hengyang, 421001, China
| | - Bingbing Xie
- School of Resources, Environmental and Safety Engineering, University of South China, Hengyang, 421001, China; Hunan Province Engineering Technology Research Center of Uranium Tailings Treatment, University of South China, Hengyang, 421001, China
| | - Yuhang Wang
- School of Resources, Environmental and Safety Engineering, University of South China, Hengyang, 421001, China; Hunan Province Engineering Technology Research Center of Uranium Tailings Treatment, University of South China, Hengyang, 421001, China
| | - Jiale Wen
- School of Resources, Environmental and Safety Engineering, University of South China, Hengyang, 421001, China; Hunan Province Engineering Technology Research Center of Uranium Tailings Treatment, University of South China, Hengyang, 421001, China
| | - Changshou Hong
- School of Resources, Environmental and Safety Engineering, University of South China, Hengyang, 421001, China; Hunan Province Engineering Technology Research Center of Uranium Tailings Treatment, University of South China, Hengyang, 421001, China.
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Chen X, Liu Y, Jiang Y, Feng S. Radon transport carried by geogas: prediction model. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:86656-86675. [PMID: 37436618 DOI: 10.1007/s11356-023-28616-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 07/01/2023] [Indexed: 07/13/2023]
Abstract
This paper provides an overview and information on radon migration in the crust. In the past several decades, numerous studies on radon migration have been published. However, there is no there is no comprehensive review of large-scale radon transport in the earth crust. A literature review was conducted to present the research on the mechanism of radon migration, geogas theory, investigation of multiphase flow, and modeling method of fractures. Molecular diffusion was long considered the primary mechanism for radon migration in the crust. However, a molecular diffusion mechanism cannot explain the understanding of anomalous radon concentrations. In contrast with early views, the process of radon migration and redistribution within the Earth may be determined by geogas (mainly CO2 and CH4). Microbubbles rising in fractured rocks may be a rapid and efficient way of radon migration, as reported by recent studies. All these hypotheses on the mechanisms of geogas migration are summarized into a theoretical framework, defined as "geogas theory." According to geogas theory, fractures are the principal channel of gas migration. The development of the discrete fracture network (DFN) method is expected to supply a new tool for fracture modeling. It is hoped that this paper will contribute to a deeper understanding of radon migration and fracture modeling.
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Affiliation(s)
- Xiaojie Chen
- School of Resource Environment and Safety Engineering, University of South China, Hengyang, 421001, Hunan, China
- Safety Technology Center, University of South China, Hengyang, 421001, Hunan, China
| | - Yong Liu
- College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China
| | - Yourui Jiang
- School of Resource Environment and Safety Engineering, University of South China, Hengyang, 421001, Hunan, China
| | - Shengyang Feng
- School of Resource Environment and Safety Engineering, University of South China, Hengyang, 421001, Hunan, China.
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Wang B, Song T, Li J, Zhang X, Li Y, Han X, Yang X. Design on intermittent ventilation strategy for radon removal in underground space. JOURNAL OF ENVIRONMENTAL RADIOACTIVITY 2022; 253-254:107007. [PMID: 36088795 DOI: 10.1016/j.jenvrad.2022.107007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 08/19/2022] [Accepted: 08/30/2022] [Indexed: 06/15/2023]
Abstract
Ventilation to reduce radon was one of the most widely used, important, and effective means to reduce radon concentration in underground engineering. The largest energy consumption of underground buildings was the building ventilation system. Taking the radon migration process in a room as an example, this paper built a numerical model that accounted for the mechanism of radon production, exhalation, and diffusion process, by proposing a novel intermittent ventilation strategy to mitigate radon concentration in underground space. Three ventilation strategies (no ventilation, continuous ventilation, and intermittent ventilation) were compared under various wind speeds and fresh air ratios. Under the same safe duration of radon concentration, when intermittent ventilation was operated with the same wind speed, the startup time was reduced by 79.4%, 86.0%, 90.8%, 92.8%, 91.25%, with compared with continuous ventilation. The higher the fresh air ratio, the lower the radon concentration limit, and the faster the dynamic equilibrium state of radon concentration will be reached. During intermittent ventilation, reducing the fresh air ratio can greatly increase the recovery and utilization of the return air heat, thereby reducing the power of the air conditioning unit. Considering the comprehensive energy-saving benefits of the ventilation system, the appropriate intermittent ventilation plan should be made to meet radon reduction requirements in the range of low wind speed. If low wind speed was selected, there existed advantages of low ventilation noise and more comfortable, as well.
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Affiliation(s)
- Bo Wang
- Research Institute of High-tech, Xi'an, 710025, China
| | - Tao Song
- Research Institute of High-tech, Xi'an, 710025, China
| | - Jing Li
- Research Institute of High-tech, Xi'an, 710025, China
| | - Xuanyi Zhang
- Haiying Group of CASIC Co., Ltd, Beijing, 10070, China
| | - Yaqi Li
- Research Institute of High-tech, Xi'an, 710025, China
| | - Xiaoxia Han
- Research Institute of High-tech, Xi'an, 710025, China
| | - Xiaohu Yang
- Institute of the Building Environment & Sustainability Technology, School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.
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Study on the Distribution Law of Coal Seam Gas and Hydrogen Sulfide Affected by Abandoned Oil Wells. ENERGIES 2022. [DOI: 10.3390/en15093373] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
This paper is devoted to solving the problem of how to comprehensively control coal seam gas and hydrogen sulfide in the mining face, distributed from the coal seam in abandoned oil wells in coal mining resource areas. The abandoned oil wells of Ma tan 30 and Ma tan 31 in the No. I0104105 working face of the Shuang Ma Coal Mine were taken as examples. Through parameter testing, gas composition analysis, field investigation at the source distribution, and the influence range of gas and hydrogen sulfide in coal seam in the affected range of the abandoned oil wells were studied. The results show that the coal-bearing strata in Shuang Ma coal field belong to the coal–oil coexistence strata, and the emission of H2S gas in the local area of the working face is mainly affected by closed and abandoned oil wells. Within the influence range of the abandoned oil wells, along the direction of the working face, the concentration of CH4 and H2S gas in the borehole increases as you move closer to the coal center, and the two sides of the oil well show a decreasing trend. In the affected area of the abandoned oil well, the distribution of the desorption gas content in coal seam along the center distance of the oil well presents a decreasing trend in power function, particularly the closer the working face is to the center of the oil well. The higher the concentration of CH4 and H2S, the lower the concentration when the working face moves further away from the oil well. The influence radius of CH4 and H2S gas on the coal seam in the affected area of Ma tan 31 abandoned oil well is over 300 m. The results provide a theoretical basis for further understanding the law of gas and hydrogen sulfide enrichment in the mining face and the design of treatment measures within the influence range of abandoned oil wells.
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Efficient Graphical Algorithm of Sensor Distribution and Air Volume Reconstruction for a Smart Mine Ventilation Network. SENSORS 2022; 22:s22062096. [PMID: 35336265 PMCID: PMC8950294 DOI: 10.3390/s22062096] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 03/04/2022] [Accepted: 03/04/2022] [Indexed: 02/01/2023]
Abstract
The accurate and reliable monitoring of ventilation parameters is key to intelligent ventilation systems. In order to realize the visualization of airflow, it is essential to solve the airflow reconstruction problem using few sensors. In this study, a new concept called independent cut set that depends on the structure of the underlying graph is presented to determine the minimum number and location of sensors. We evaluated its effectiveness in a coal mine owned by Jinmei Corporation Limited (Jinmei Co., Ltd., Shanghai, China). Our results indicated that fewer than 30% of tunnels needed to have wind speed sensors set up to reconstruct the well-posed airflow of all the tunnels (>200 in some mines). The results showed that the algorithm was feasible. The reconstructed air volume of the ventilation network using this algorithm was the same as the actual air volume. The algorithm provides theoretical support for flow reconstruction.
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