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

Geofluids

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

Physics

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