Quantitative Evaluation for the Threat Degree of a Thermal Reservoir to Deep Coal Mining
Joint Authors
Chen, Yun
Wang, Xinyi
Zhao, Yanqi
Shi, Haolin
Liu, Xiaoman
Niu, Zhigang
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-09
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Taking the Suiqi coalfield located in North China as the object, where the coal seam burial depth is more than 1100 m, the water abundance of the roof pore thermal storage aquifer is better than average, the ground temperature is abnormally high, and hydrogeological data are relatively lacking, this paper selects and determines eight index factors that influence the mining of the coalfield.
Based on the analytic hierarchy process (AHP), the index factor weight is defined, and then, the threat degree of the roof thermal storage aquifer to the coal mining is quantitatively evaluated and divided by using the fuzzy variable set theory.
The evaluation results show that the threat degree of the roof in the eastern region is generally greater than that in the western region and that the closer it is to the coal seam outcrop line, the higher the threat degree is; near the boreholes, in the areas Qs1,Qs5, Qs8, Sx1, Tk5, Zc4, and Zc7, which are close to the hidden outcrop line of the coal seam, the classification characteristic value of the threat degree is greater than 3.5, which is in the high-threat zone for disasters caused by roof thermal storage aquifers during coal seam mining.
The area above the medium-threat zone accounts for 71.82% of the total study area, indicating that deep coal mining is affected by multiple factors and that roof water and heat disasters are more likely to occur.
American Psychological Association (APA)
Chen, Yun& Wang, Xinyi& Zhao, Yanqi& Shi, Haolin& Liu, Xiaoman& Niu, Zhigang. 2020. Quantitative Evaluation for the Threat Degree of a Thermal Reservoir to Deep Coal Mining. Geofluids،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1166296
Modern Language Association (MLA)
Chen, Yun…[et al.]. Quantitative Evaluation for the Threat Degree of a Thermal Reservoir to Deep Coal Mining. Geofluids No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1166296
American Medical Association (AMA)
Chen, Yun& Wang, Xinyi& Zhao, Yanqi& Shi, Haolin& Liu, Xiaoman& Niu, Zhigang. Quantitative Evaluation for the Threat Degree of a Thermal Reservoir to Deep Coal Mining. Geofluids. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1166296
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1166296