165 related articles for article (PubMed ID: 37214726)
1. Early Detection of Coal Spontaneous Combustion by Complex Acoustic Waves in a Concealed Fire Source.
Guo J; Shang H; Cai G; Jin Y; Wang K; Li S
ACS Omega; 2023 May; 8(19):16519-16531. PubMed ID: 37214726
[TBL] [Abstract][Full Text] [Related]
2. Initial exploration on potential fire hazards detection from coal spontaneous combustion applied by acoustic wave.
Ren SJ; Zhang YN; Song ZY; Xiao Y; Deng J; Shu CM
Sci Total Environ; 2023 Nov; 897():165475. PubMed ID: 37442472
[TBL] [Abstract][Full Text] [Related]
3. Research Status and Development Trend of Coal Spontaneous Combustion Fire and Prevention Technology in China: A Review.
Liu Y; Wen H; Chen C; Guo J; Jin Y; Zheng X; Cheng X; Li D
ACS Omega; 2024 May; 9(20):21727-21750. PubMed ID: 38799345
[TBL] [Abstract][Full Text] [Related]
4. Long-distance migration law of radon in overburden of abandoned goaf during coal spontaneous combustion.
Chan Z; Zhou B; Wang J; Lu Z; Yang Q; Dong Z; Dong K
J Environ Radioact; 2023 Dec; 270():107284. PubMed ID: 37634424
[TBL] [Abstract][Full Text] [Related]
5. Vegetation growth status as an early warning indicator for the spontaneous combustion disaster of coal waste dump after reclamation: An unmanned aerial vehicle remote sensing approach.
Ren H; Zhao Y; Xiao W; Zhang J; Chen C; Ding B; Yang X
J Environ Manage; 2022 Sep; 317():115502. PubMed ID: 35751291
[TBL] [Abstract][Full Text] [Related]
6. A review on the mechanism, risk evaluation, and prevention of coal spontaneous combustion in China.
Kong B; Li Z; Yang Y; Liu Z; Yan D
Environ Sci Pollut Res Int; 2017 Oct; 24(30):23453-23470. PubMed ID: 28924728
[TBL] [Abstract][Full Text] [Related]
7. Research on the effect of water-cooling steel pipe on preventing spontaneous combustion of coal pile and its thermal migration behavior.
Ai C; Xue S; Zhang L; Zhou Q
Sci Rep; 2024 Apr; 14(1):8838. PubMed ID: 38632290
[TBL] [Abstract][Full Text] [Related]
8. Spatio-temporal evolution law of gas-temperature coupling field in "110 method" goaf and prevention of spontaneous combustion.
Wei S; Fang Z; Li Z; Liu Y; Hu D; Miao C; Wang H
PLoS One; 2023; 18(11):e0293829. PubMed ID: 37983275
[TBL] [Abstract][Full Text] [Related]
9. A comprehensive method to prevent top-coal spontaneous combustion utilizing dry ice as a fire extinguishing medium: test apparatus development and field application.
Qin Y; Guo W; Xu H; Song Y; Chen Y; Ma L
Environ Sci Pollut Res Int; 2022 Mar; 29(13):19741-19751. PubMed ID: 34719762
[TBL] [Abstract][Full Text] [Related]
10. Research on the technology of detection and risk assessment of fire areas in gangue hills.
Wang H; Tan B; Zhang X
Environ Sci Pollut Res Int; 2020 Nov; 27(31):38776-38787. PubMed ID: 32632694
[TBL] [Abstract][Full Text] [Related]
11. Study on CO source identification and spontaneous combustion warning concentration in the return corner of working face in shallow buried coal seam.
Wang C; Hu P; Sun Y; Yang C
Environ Sci Pollut Res Int; 2024 Feb; 31(10):15050-15064. PubMed ID: 38285265
[TBL] [Abstract][Full Text] [Related]
12. Meticulous Graded and Early Warning System of Coal Spontaneous Combustion Based on Index Gases and Characteristic Temperature.
Guo J; Quan Y; Cai G; Jin Y; Zheng X; Liu Y
ACS Omega; 2023 Feb; 8(7):6801-6812. PubMed ID: 36844506
[TBL] [Abstract][Full Text] [Related]
13. Assessment of coal spontaneous combustion index gas under different oxygen concentration environment: an experimental study.
Jia X; Wu J; Lian C; Rao J
Environ Sci Pollut Res Int; 2022 Dec; 29(58):87257-87267. PubMed ID: 35804231
[TBL] [Abstract][Full Text] [Related]
14. Prediction of spontaneous combustion susceptibility of coal seams based on coal intrinsic properties using various machine learning tools.
Shukla US; Mishra DP; Mishra A
Environ Sci Pollut Res Int; 2023 Jun; 30(26):69564-69579. PubMed ID: 37140867
[TBL] [Abstract][Full Text] [Related]
15. Study on the application of coal spontaneous combustion positive pressure beam tube classification monitoring and early warning.
Kong B; Niu S; Cao H; Lu W; Wen J; Yin J; Zhang W; Zhang X
Environ Sci Pollut Res Int; 2023 Jun; 30(30):75735-75751. PubMed ID: 37222889
[TBL] [Abstract][Full Text] [Related]
16. Prediction of spontaneous coal combustion tendency using multinomial logistic regression.
Kursunoglu N; Gogebakan M
Int J Occup Saf Ergon; 2022 Dec; 28(4):2000-2009. PubMed ID: 34144657
[TBL] [Abstract][Full Text] [Related]
17. Study on the thermal release characteristics and the correlation transformation mechanism of microscopic active groups of oxidized coal combustion in a deep mined-out area.
Niu HY; Sun QQ; Li SP; Sun SW; Bu YC; Yang YX; Mao ZH; Tao M
Sci Total Environ; 2023 Sep; 890():164354. PubMed ID: 37230362
[TBL] [Abstract][Full Text] [Related]
18. New classification method of coal spontaneous combustion three zones in the goaf based on non-parametric kernel density estimation.
Guo Q; Ren W; Lu W
Environ Sci Pollut Res Int; 2023 Jan; 30(2):4733-4743. PubMed ID: 35974273
[TBL] [Abstract][Full Text] [Related]
19. Experimental investigation of temperature distribution and spontaneous combustion tendency of coal gangue stockpiles in storage.
Li A; Chen C; Chen J; Lei P; Zhang Y
Environ Sci Pollut Res Int; 2021 Jul; 28(26):34489-34500. PubMed ID: 33650058
[TBL] [Abstract][Full Text] [Related]
20. A method for evaluating the coal spontaneous combustion index by the coefficient of variation and Kruskal-Wallis test: a case study.
Wang K; Li Y; Zhai X; Bai G
Environ Sci Pollut Res Int; 2023 Apr; 30(20):58956-58966. PubMed ID: 37002521
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]