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Screening and Evaluation of Performance Indexes for Multicomponent Gas Absorption Spectra of Coal Spontaneous Combustion
Abstract
Coal spontaneous combustion (CSC) has been a global hazard for decades, causing significant losses. Hydrocarbon gases, including carbon monoxide (CO), carbon dioxide (CO2), methane (CH4), ethylene (C2H4), acetylene (C2H2), and oxygen (O2), have proved to be good inhibitors for forecasting CSC. However, the cross-interference and absorption spectrum overlaps prevent their practical applications. This study simulates the refined distribution of the absorption lines of these index gases in the infrared spectral range to solve these problems. By selecting the optimal absorption lines for each gas, their detection performance was experimentally tested, and the results were analyzed using the Allan variance method. The results reveal that the optimal absorption lines are centered at 1566.64, 1572.32, 1653.72, 1626.34, 1530.37, and 760.65 nm for CO, CO2, CH4, C2H4, C2H2, and O2, respectively. Relative detection errors are 0.62, 0.51, 3.06, 4.20, 0.58, and 1.96%, and the detection limits are 3.47×10−6, 4.56×10−6, 0.53×10−6, 2.85×10−6, 0.33×10−6, and 1581×10−6, respectively. The detection sensitivity and comprehensive detection accuracy were significantly improved. This study will provide a basis for solving the problem of the cross-aliasing interference between index gases for bituminous CSC.
Keywords
coal spontaneous combustion,
multicomponent,
index gases,
trace detection,
tunable semiconductor laser absorption spectroscopy
Supporting agencies: This work was supported by the National Key R & D Plan of China (No. 2021YFE0105000), the National Natural Science Foundation of China (No. 52074213), Shaanxi key R & D Plan Project (Nos. 2021SF-472 and 2021GY-131), Yulin Science and Technology Plan Project (Nos. CXY-2020-036 and CXY-2020-037), Science and Technology Fund for outstanding young people of Xi’an University of Science and Technology (No. 2019YQ2-01), Xi’an Science and Technology Plan Project (No. 2020KJRC0068).
About the Authors
W. Wang
School of Safety Science and Engineering at Xi’an University of Science and Technology;
Key Laboratory of Mine and Disaster Prevention and Control of Ministry of Education
at Xi’an University of Science and Technology
China
China
Xi’an Shaanxi
H. Liu
School of Safety Science and Engineering at Xi’an University of Science and Technology;
Key Laboratory of Mine and Disaster Prevention and Control of Ministry of Education
at Xi’an University of Science and Technology
China
China
Xi’an Shaanxi
B. Yang
School of Safety Science and Engineering at Xi’an University of Science and Technology;
Key Laboratory of Mine and Disaster Prevention and Control of Ministry of Education
at Xi’an University of Science and Technology
China
China
Xi’an Shaanxi
T. Ma
School of Safety Science and Engineering at Xi’an University of Science and Technology;
Key Laboratory of Mine and Disaster Prevention and Control of Ministry of Education
at Xi’an University of Science and Technology
China
China
Xi’an Shaanxi
J. Li
School of Safety Science and Engineering at Xi’an University of Science and Technology;
Key Laboratory of Mine and Disaster Prevention and Control of Ministry of Education
at Xi’an University of Science and Technology
China
China
Xi’an Shaanxi
J. Deng
School of Safety Science and Engineering at Xi’an University of Science and Technology;
Key Laboratory of Mine and Disaster Prevention and Control of Ministry of Education
at Xi’an University of Science and Technology
China
China
Xi’an Shaanxi
D. Zhang
School of Safety Science and Engineering at Xi’an University of Science and Technology;
Key Laboratory of Mine and Disaster Prevention and Control of Ministry of Education
at Xi’an University of Science and Technology
China
China
Xi’an Shaanxi
References
1. Z. Q. Tang, S. Q. Yang, G. Xu, M. Sharifzadeh, Proc. Saf. Environ., 132, 182–188 (2019).
2. Y. W. Song, S. Q. Yang, X. C. Hu, W. X. Song, N. W. Sang, J. W. Cai, Q. Xu, Proc. Saf. Environ., 129, 8–16 (2019).
3. W. C. Zheng, S. Q. Yang, W. Z. Li, J. Wang, Fire Mater., 44, No. 5, 660–672 (2020).
4. B. Du, Y. T. Liang, F. C. Tian, Fire Safety J., 121, 103298 (2021).
5. W. C. Xia, Y. J. Li, C. K. Niu, Energ. Source A, 41, No. 9, 1110–1115 (2019).
6. H. Q. Zhu, K. Sheng, Y. L. Zhang, S. H. Fang, Y. L. Wu, PLoS One, 13, No. 8, 0202724 (2018).
7. Q. Xu, S. Q. Yang, J. W. Cai, B. Z. Zhou, Y. A. Xin, Proc. Saf. Environ., 118, 195–202 (2018).
8. L. Ma, R. Z. Guo, M. M. Wu, W. F. Wang, L. F. Ren, G. M. Wei, Proc. Saf. Environ., 142, 370–379 (2020).
9. T. Ma, X. K. Chen, X. W. Zhai, Y. E. Bai, RSC Adv., 9, No. 56, 32476–32489 (2019).
10. H. C. Ji, W. Zeng, Y. Q. Li, Nanoscale, 11, No. 47, 22664–22684 (2019).
11. W. Li, W. X. Luo, M. Y. Li, L. Y. Chen, L. Y. Chen, G. Hua, M. J. Yu, Front. Chem., 9, 723186 (2021).
12. M. M. Kmiec, D. Tse, P. Kuppusamy, Adv. Exp. Biol., 1269, 259–263 (2021).
13. J. E. Welke, K. C. Hernandes, K. P. Nicolli, J. A. Barbara, A. C. T. Biasoto, C. A. Zini, J. Sep. Sci., 44, No. 1, 135–168 (2021).
14. H. Sun, Y. B. Shi, X. Ding, X. B. Ding, H. B. Wu, IEEE Access, 9, 51983–51995 (2021).
15. Y. S. H. Parkhangil, J. Sensor Sci. Technol., 27, No. 5, 294–299 (2018).
16. Z. L. Cui, X. X. Zhang, D. C. Chen, Y. Li, Y. F. Wang, Y. Zhang, H. Wang, Appl. Spectrosc., 75, No. 3, 265–273 (2021).
17. V. Vitvitsky, R. Banerjee. Hydrogen Sulfide Redox Biology A, 554, 111–123 (2015).
18. Y. C. Lin, F. Liu, X. G. He, W. Jin, M. Zhang, Opt. Express, 25, No. 25, 31568 (2017).
19. C. Lindner, J. Kunz, S. J. Herr, S. Wolf, J. Kiebling, Opt. Express, 29, No. 3, 4035–4047 (2021).
20. R. N. Sa, L. B. Bu, Q. Wang, J. Zhou, Optik, 149, 113–124 (2017).
21. Z. L. Cui, X. X. Zhang, Z. Cheng, Y. L. Li, H. Xiao, Spectrochim. Acta A, 215, 187–195 (2019).
22. M. Reeves, M. Musculus, P. Farrell, Appl. Optics, 37, No. 28, 6627–6635 (1998).
23. C. W. Wen, X. Huang, C. L. Shen, J. Raman Spectrosc., 51, No. 5, 781–787 (2020).
24. S. L. Zha, H. L. Ma, C. L. Zha, X. Y. Cai, Y. Y. Li, J. Near Infrared Spec., 28, No. 4, 236–242 (2020).
25. K. L. Mackay, A. Chanda, G. Mackay, J. T. Pisano, T. D. Durbin, K. Crabbe, T. Smith, J. Appl. Spectrosc., 83, No. 4, 627–633 (2016).
26. J. M. Rey, M. Fill, F. Felder, M. W. Sigrist, Appl. Phys. B-Lasers O, 117, No. 3, 935–939 (2014).
27. P. Werle, R. Muckel, F. D’Amato, T. Lancia, Appl. Phys. B-Lasers O, 67, No. 3, 307–315 (1995).
28. U. Gustafsson, J. Sandsten, S. Svanberg, Appl. Phys. B-Lasers O, 71, No. 6, 853–857 (2000).
29. C. Murzyn, A. Sims, H. Krier, N. Glumac, Opt. Laser. Eng., 110, No. 11, 186–192 (2018).
30. X. Q. Guo, F. Zheng, C. L. Li, X. F. Yang, N. Li, Opt. Laser. Eng., 115, No. 4, 243–248 (2019).
31. A. Sepman, Y. Ögren, Z. Qu, H. Wiinikka, F. M. Schmidt, P. Combust. Inst., 36, No. 3, 4541–4548 (2017).
32. H. Xia, W. Q. Liu, Y. J. Zhang, R.F. Kan, Y. B. Cui, M. Wang, Y. He, X. J. Cui, J. Ruan, H. Geng, Spectrosc. Spectr. Anal., 29, No. 3, 844–847 (2009).
33. R. F. Kan, H. H. Xia, Z. Y. Xu, L. Yao, J. Ruan, Chin. J. Lasers, 45, No. 9, 67–82 (2018).
34. C. Y. Jiang, M. X. Sun, Y. X. Li, C. J. Wang, Chin. J. Lasers, 45, No. 2, 197–205 (2018).
35. M. Jiang, W. B. Feng, H. Gao, M. Zhang, X. N. Meng, J. Chin. Coal Soc., 46, No. 7, 1–6 (2021).
36. L. Jiang, H. Xia, F. Dong, T. Pang, B. Wu, Opt. Precis. Eng., 21, No. 11, 2771–2777 (2013).
37. T. J. Johnson, K. D. Hughey, T. A. Blake, W. S. Steven, L. M. Tanya, L. S. Robert, J. Phys. Chem. A, 125, No. 17, 3793–3801 (2021).
38. L. J. Lan, J. Chen, Y. C. Wu, Y. Bai, Y. F. Li, IEEE T. Instrum. Meas., 68, No. 4, 1140–1147 (2019).
Review
For citations:
Wang W., Liu H., Yang B., Ma T., Li J., Deng J., Zhang D. Screening and Evaluation of Performance Indexes for Multicomponent Gas Absorption Spectra of Coal Spontaneous Combustion. Zhurnal Prikladnoii Spektroskopii. 2023;90(1):122. (In Russ.)
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