Advertisement

Hazardous areas determination of coal spontaneous combustion in shallow-buried gobs of coal seam group: a physical simulation experimental study

  • Min Hao
  • Yanlong Li
  • Xiaolin Song
  • Jianhong KangEmail author
  • Hetao Su
  • Fubao ZhouEmail author
Original Article
  • 25 Downloads

Abstract

The hazardous areas determination of coal spontaneous combustion plays a vital role in preventing and controlling the coal fire disaster. In this paper, a physical simulation experimental platform involving working face and ground surface air leakage was constructed to study the effects of ventilation rate and air leakage rate on spatial distribution of oxygen concentration in shallow-buried gobs of coal seam group. In addition, based on determined criteria of oxygen concentration, hazardous areas of coal spontaneous combustion were ascertained. Furthermore, the maximum width of hazardous areas was compared and analyzed. The results manifest that hazardous areas of coal spontaneous combustion is the result of the combined action of working face and ground surface air leakage, presenting a coupling form of S-shaped trend and a quarter inverted-cone caused by the working face and ground surface air leakage, respectively. Hazardous areas determination of coal spontaneous combustion using a physical simulation experimental platform can provide experimental foundation and theoretical basis for coal fire preventing and extinguishing in shallow-buried gobs of coal seam group.

Keywords

Coal spontaneous combustion Hazardous areas determination Air leakage Shallow-buried coal seam Multilayer compound gobs 

Notes

Acknowledgements

This work was supported by the National Key Research and Development Program (2018YFC0808100), the Fundamental Research Funds for the Central Universities (Grant no. 2015XKZD03), the Program for Changjiang Scholars and Innovative Research Team in University (Grant no. IRT_17R103).

References

  1. Bai E, Guo W, Tan Y et al (2018) The analysis and application of granular backfill material to reduce surface subsidence in China’s northwest coal mining area. PLoS One 13(7):e0201112.  https://doi.org/10.1371/journal.pone.0201112 CrossRefGoogle Scholar
  2. Deng J, Ma X, Zhang Y et al (2013) Quantitative determination for the “three zones” of coal spontaneous combustion in gobs based on probability function. Disaster Adv 6:210–218Google Scholar
  3. Deng J, Lei C, Xiao Y et al (2018) Determination and prediction on “three zones” of coal spontaneous combustion in a gob of fully mechanized caving face. Fuel 211:458–470.  https://doi.org/10.1016/j.fuel.2017.09.027 CrossRefGoogle Scholar
  4. Kong B, Li Z, Wang E et al (2018a) An experimental study for characterization the process of coal oxidation and spontaneous combustion by electromagnetic radiation technique. Process Saf Environ Prot 119:285–294CrossRefGoogle Scholar
  5. Kong B, Wang E, Li Z (2018b) The effect of high temperature environment on rock properties—an example of electromagnetic radiation characterization. Environ Sci Pollut Res 25(29):29104–29114CrossRefGoogle Scholar
  6. Kuenzer C, Stracher GB (2011) Geomorphology of coal seam fires. Geomorphology 138(1):209–222.  https://doi.org/10.1016/j.geomorph.2011.09.004 CrossRefGoogle Scholar
  7. Kuenzer C, Kessels W, Wuttke MW (2008) Numerical modeling for analyzing thermal surface anomalies induced by underground coal fires. Int J Coal Geol 74(3):175–184.  https://doi.org/10.1016/j.coal.2007.12.005 CrossRefGoogle Scholar
  8. Lei C, Deng J, Cao K et al (2018) A random forest approach for predicting coal spontaneous combustion. Fuel 223:63–73.  https://doi.org/10.1016/j.fuel.2018.03.005 CrossRefGoogle Scholar
  9. Qi G, Wang D, Zheng K et al (2015) Kinetics characteristics of coal low-temperature oxidation in oxygen-depleted air. J Loss Prevent Proc 35:224–231.  https://doi.org/10.1016/j.jlp.2015.05.011 CrossRefGoogle Scholar
  10. Song Z, Kuenzer C (2014) Coal fires in China over the last decade: a comprehensive review. Int J Coal Geol 133:72–99.  https://doi.org/10.1016/j.coal.2014.09.004 CrossRefGoogle Scholar
  11. Song Z, Zhu H, Jia G et al (2014) Comprehensive evaluation on self-ignition risks of coal stockpiles using fuzzy AHP approaches. J Loss Prevent Proc 32:78–94.  https://doi.org/10.1016/j.jlp.2014.08.002 CrossRefGoogle Scholar
  12. Song Z, Kuenzer C, Zhu H et al (2015) Analysis of coal fire dynamics in the Wuda syncline impacted by fire-fighting activities based on in-situ observations and Landsat-8 remote sensing data. Int J Coal Geol 141–142:91–102.  https://doi.org/10.1016/j.coal.2015.03.008 CrossRefGoogle Scholar
  13. Su H, Zhou F, Song X et al (2016) Risk analysis of coal self-ignition in longwall gob: a modeling study on three-dimensional hazard zones. Fire Saf J 83:54–65.  https://doi.org/10.1016/j.firesaf.2016.04.002 CrossRefGoogle Scholar
  14. Su H, Zhou F, Song X et al (2017) Risk analysis of spontaneous coal combustion in steeply inclined longwall gobs using a scaled-down experimental set-up. Process Saf Environ 111:1–12.  https://doi.org/10.1016/j.psep.2017.06.001 CrossRefGoogle Scholar
  15. Wu JJ, Liu XC (2011) Risk assessment of underground coal fire development at regional scale. Int J Coal Geol 86(1):87–94.  https://doi.org/10.1016/j.coal.2010.12.007 CrossRefGoogle Scholar
  16. Xia T, Zhou F, Liu J et al (2014) A fully coupled hydro-thermo-mechanical model for the spontaneous combustion of underground coal seams. Fuel 125(125):106–115.  https://doi.org/10.1016/j.fuel.2014.02.023 CrossRefGoogle Scholar
  17. Xia T, Wang X, Zhou F et al (2015a) Evolution of coal self-heating processes in longwall gob areas. Int J Heat Mass Transf 86:861–868.  https://doi.org/10.1016/j.ijheatmasstransfer.2015.03.072 CrossRefGoogle Scholar
  18. Xia T, Zhou F, Gao F et al (2015b) Simulation of coal self-heating processes in underground methane-rich coal seams. Int J Coal Geol 141–142:1–12.  https://doi.org/10.1016/j.coal.2015.02.007 CrossRefGoogle Scholar
  19. Xu J, Wen H, Zhang XH et al (2002) Study on the method for determining dangerous zones of coal self-ignition in gobs in a fully mechanized top-coal caving face. J Univ Sci Technol China 32(6):672–677 (in Chinese) Google Scholar
  20. Yang Y, Li Z, Si L et al (2018) Study on test method of heat release intensity and thermophysical parameters of loose coal. Fuel 229:34–43.  https://doi.org/10.1016/j.fuel.2018.05.006 CrossRefGoogle Scholar
  21. Yavuz H (2004) An estimation method for cover pressure re-establishment distance and pressure distribution in the goaf of longwall coal mines. Int J Rock Mech Min 41(2):193–205.  https://doi.org/10.1016/S1365-1609(03)00082-0 CrossRefGoogle Scholar
  22. Zhu HQ, Song ZY, Tan B et al (2013) Numerical investigation and theoretical prediction of self-ignition characteristics of coarse coal stockpiles. J Loss Prevent Proc 26(1):236–244.  https://doi.org/10.1016/j.jlp.2012.11.006 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Jiangsu Key Laboratory of Fire Safety in Urban Underground SpaceChina University of Mining and TechnologyXuzhouChina
  2. 2.School of Safety EngineeringChina University of Mining and TechnologyXuzhouChina
  3. 3.State Key Laboratory of Coal Resources and Mine SafetyChina University of Mining and TechnologyXuzhouChina

Personalised recommendations