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Research on Water-Filled Source Identification Technology of Coal Seam Floor Based on Multiple Index Factors
Joint Authors
Wang, Xinyi
Wang, Qi
Yang, Guang
Wang, Junzhi
Zhang, Bo
Wang, Jianwang
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-31
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
According to the No.
13 Mine of Pingdingshan Coal Co.
Ltd., the fault dimension of the study area is calculated based on fractal theory.
The four impact factors such as water inflow, water pressure, water inrush coefficient, and fault fractal dimension of 21 water boreholes are used as evaluation indices, and a mathematical model for identifying the water-filled source of the coal seam floor is established by coupling an entropy weight method and fuzzy variable set theory.
The model is used to identify the water-filled source of 7 boreholes, which provide a reliable reference for the identification of the water-filled source.
According to the calculation result of the entropy weight method, the water volume per unit of the borehole and the groundwater pressure have a significant impact on the water source identification, which accounts for 89.93% of the weight value.
In the fuzzy variable set model, when the distance parameter p is 1 and the optimization criterion parameter α is 2, the accuracy of the water sample identification of the water source category to be identified is 85.71%, which is at a high recognition level.
The more typical the impact factors selected and the more samples, the accuracy of water-filled source identification is much higher.
American Psychological Association (APA)
Wang, Xinyi& Yang, Guang& Wang, Qi& Wang, Junzhi& Zhang, Bo& Wang, Jianwang. 2019. Research on Water-Filled Source Identification Technology of Coal Seam Floor Based on Multiple Index Factors. Geofluids،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1153893
Modern Language Association (MLA)
Wang, Xinyi…[et al.]. Research on Water-Filled Source Identification Technology of Coal Seam Floor Based on Multiple Index Factors. Geofluids No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1153893
American Medical Association (AMA)
Wang, Xinyi& Yang, Guang& Wang, Qi& Wang, Junzhi& Zhang, Bo& Wang, Jianwang. Research on Water-Filled Source Identification Technology of Coal Seam Floor Based on Multiple Index Factors. Geofluids. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1153893
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1153893