Control of Dust Pollution in Roadway Excavation and Optimization of Dust Removal Ventilation ParametersSource: Journal of Environmental Engineering:;2025:;Volume ( 151 ):;issue: 003::page 04024079-1DOI: 10.1061/JOEEDU.EEENG-7831Publisher: American Society of Civil Engineers
Abstract: Rock drilling of face 1703 of section 185 of the Ashele Copper Mine was used to study dust migration, control, and reduction during excavation. Fluent numerical simulation and theoretical analysis methods were used to study dust pollution during excavation. An orthogonal experiment was carried out to optimize the ventilation parameters of the excavation face and assess the effect of the main parameters (the cross-section size of the air inlet duct, the location of the end face of the roadway inlet duct and air inlet rate of the excavation face) on dust reduction and control. The experimental results show that the ventilation parameters that were most significant in reducing and controlling the dust pollution were the excavation face air inlet rate. A range analysis showed that the most reasonable ventilation parameters were an air inlet rate of the excavation face of 13 m/s, the location of the end face of the roadway inlet duct of 4 m, and the cross-section size of the air inlet was 0.9 m. A comparison of the original and optimized ventilation schemes showed that the dust pollution in the excavation face and the respiratory area decreased significantly. The effectiveness of the optimized parameters was further checked through field tests. Finally, by dividing the activity areas of underground workers in the roadway and further calculating and analyzing the dust concentration in the breathing area of underground workers based on Python deep data mining, providing theoretical assistance for dust control. The results of this study provide assistance to mining personnel in understanding the transportation patterns of dust and airflow during on-site operations, clarifying the impact of adjusting relevant ventilation parameters on dust pollution control at the work site, and deeply understanding the distribution of dust concentration at personnel breathing heights. In addition, as many working roadways in metal mines are similar to single head roadways, the relevant results of this study can provide some reference for dust control in similar working faces. Based on the results of this study, further research will be carried out in the future in combination with dust control measures such as intelligent damper and spray systems to improve the efficiency of dust pollution control and optimize the mine operating environment.
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contributor author | Binglei Li | |
contributor author | Yixiong Huang | |
contributor author | Hongyuan Hu | |
contributor author | Yi Long | |
contributor author | Changlin Lv | |
contributor author | Zicheng Wang | |
date accessioned | 2025-04-20T10:13:28Z | |
date available | 2025-04-20T10:13:28Z | |
date copyright | 12/23/2024 12:00:00 AM | |
date issued | 2025 | |
identifier other | JOEEDU.EEENG-7831.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4304251 | |
description abstract | Rock drilling of face 1703 of section 185 of the Ashele Copper Mine was used to study dust migration, control, and reduction during excavation. Fluent numerical simulation and theoretical analysis methods were used to study dust pollution during excavation. An orthogonal experiment was carried out to optimize the ventilation parameters of the excavation face and assess the effect of the main parameters (the cross-section size of the air inlet duct, the location of the end face of the roadway inlet duct and air inlet rate of the excavation face) on dust reduction and control. The experimental results show that the ventilation parameters that were most significant in reducing and controlling the dust pollution were the excavation face air inlet rate. A range analysis showed that the most reasonable ventilation parameters were an air inlet rate of the excavation face of 13 m/s, the location of the end face of the roadway inlet duct of 4 m, and the cross-section size of the air inlet was 0.9 m. A comparison of the original and optimized ventilation schemes showed that the dust pollution in the excavation face and the respiratory area decreased significantly. The effectiveness of the optimized parameters was further checked through field tests. Finally, by dividing the activity areas of underground workers in the roadway and further calculating and analyzing the dust concentration in the breathing area of underground workers based on Python deep data mining, providing theoretical assistance for dust control. The results of this study provide assistance to mining personnel in understanding the transportation patterns of dust and airflow during on-site operations, clarifying the impact of adjusting relevant ventilation parameters on dust pollution control at the work site, and deeply understanding the distribution of dust concentration at personnel breathing heights. In addition, as many working roadways in metal mines are similar to single head roadways, the relevant results of this study can provide some reference for dust control in similar working faces. Based on the results of this study, further research will be carried out in the future in combination with dust control measures such as intelligent damper and spray systems to improve the efficiency of dust pollution control and optimize the mine operating environment. | |
publisher | American Society of Civil Engineers | |
title | Control of Dust Pollution in Roadway Excavation and Optimization of Dust Removal Ventilation Parameters | |
type | Journal Article | |
journal volume | 151 | |
journal issue | 3 | |
journal title | Journal of Environmental Engineering | |
identifier doi | 10.1061/JOEEDU.EEENG-7831 | |
journal fristpage | 04024079-1 | |
journal lastpage | 04024079-15 | |
page | 15 | |
tree | Journal of Environmental Engineering:;2025:;Volume ( 151 ):;issue: 003 | |
contenttype | Fulltext |