Using CFD to Simulate the Concentration of Polluting and Harmful Gases in the Roadway of Non-Metallic Mines Reveals Its Migration Law

Chengyu Xie (), Guanpeng Xiong and Ziwei Chen
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Chengyu Xie: School of Environment and Resources, Xiangtan University, Xiangtan 411105, China
Guanpeng Xiong: School of Environment and Resources, Xiangtan University, Xiangtan 411105, China
Ziwei Chen: School of Environment and Resources, Xiangtan University, Xiangtan 411105, China

Sustainability, 2022, vol. 14, issue 20, 1-16

Abstract: The green and pollution-free mining of resources has always been a research field that people have focused on. In the process of mining resources, the production of CO, SO 2 and other pollutants directly affects the health of miners and the atmospheric environment in the mining area. Therefore, it is particularly important to deal with and control the polluting gases generated by mining. Taking the underground roadway of a coal mine in Hengdong City, Hunan Province, as the research object, we studied the migration law of pollutant gas there. Comsol software was used to determine the changing state of pollutant gas migration in the roadway, and a simulation model of the wind field and the pollutant concentration field in the roadway under turbulent conditions was established. The results showed that, when the air flow moved to the front face of the roadway, it generated backflow to form a counterclockwise-rotating air flow vortex. Here, the air flow stagnated, hindering the diffusion of pollutants. The gas moved with the air flow in the roadway, and the flow’s velocity decreased in the middle of the roadway, causing pollutants to accumulate. The whole wind field tended to be stable at a plane 25 m from the roadway’s outlet. This indicates that the middle part of the roadway is the place where the polluted gas accumulates, and it is of representative significance to study the concentration of the polluted gas in the roadway in this section.

Keywords: mining environment; hazardous gas; migration law; concentration prediction (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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