![](/images/graphics-bg.png)
Prediction and Analysis of Abnormal Gas Emission Law in Low-Gas Tunnel Based on K-Line Diagram
Joint Authors
Zhou, Yanmin
Zhao, Shulei
Liu, Jialiang
Chen, Xiang
Wang, Haiyang
Cheng, Liang
Wang, Jie
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The risk of gas disaster in the low-gas tunnel is easy to be ignored.
By tracking and analyzing the gas monitoring data of the low-gas tunnel, it is found that the cyclic abnormal gas emission occurred many times during the construction period, leading to local gas accumulation, which greatly increases the risk of gas explosion accidents.
To scientifically predict the abnormal gas emission in low-gas tunnels, the idea of K-line diagram-based prediction of abnormal gas emission in low-gas tunnels is put forward, and in combination with the field monitoring data of low-gas tunnel (Huangguashan Tunnel), the prediction results with different prediction indexes of K-line diagram are compared and analyzed.
The results show that the K-line diagram can reflect the changing trend of gas concentration in real time accurately and show the change law of gas concentration during different construction processes; the moving average (MA) of the K-line diagram can accurately reflect the time of abnormal gas emission, the moving average convergence divergence (MACD) index can reflect the upward or downward power and trend of gas, and the Bollinger Band (BOLL) index can reflect the fluctuation range of gas concentration.
The research results can provide a reference for the prediction and prevention of abnormal gas emission in low-gas tunnels.
American Psychological Association (APA)
Wang, Haiyang& Zhao, Shulei& Liu, Jialiang& Zhou, Yanmin& Chen, Xiang& Wang, Jie…[et al.]. 2020. Prediction and Analysis of Abnormal Gas Emission Law in Low-Gas Tunnel Based on K-Line Diagram. Geofluids،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1166483
Modern Language Association (MLA)
Wang, Haiyang…[et al.]. Prediction and Analysis of Abnormal Gas Emission Law in Low-Gas Tunnel Based on K-Line Diagram. Geofluids No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1166483
American Medical Association (AMA)
Wang, Haiyang& Zhao, Shulei& Liu, Jialiang& Zhou, Yanmin& Chen, Xiang& Wang, Jie…[et al.]. Prediction and Analysis of Abnormal Gas Emission Law in Low-Gas Tunnel Based on K-Line Diagram. Geofluids. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1166483
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1166483