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An Approach for Estimating Underground-Goaf Boundaries Based on Combining DInSAR with a Graphical Method
Joint Authors
Fang, Jun
Bu, Pu
Li, Chaokui
Liao, Mengguang
Yang, Wentao
Zhu, Chuanguang
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-29
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The goaf left behind after mining has the potential to induce serious geological disasters due to the damaged internal structure of the rock.
Estimating the boundary of the underground goaf can effectively control the occurrence of such disasters.
However, traditional geophysical methods are inefficient and expensive and are particularly difficult to apply for a wide detection range.
This paper proposes a new method for estimating the boundary of underground goaf using the differential interference synthetic aperture radar technique (DInSAR).
More specifically, DInSAR is used to obtain the isoline of the subsidence basin above the goaf, and the direction of the two main sections of the goaf is then determined according to the basic law of mining subsidence.
Following this, the basic principles of the probability integral and the graphical methods are combined to determine the mining boundary of the strike section and the incline section of the goaf.
Finally, six geometric parameters reflecting the boundary of the goaf are obtained.
Experiments on simulated and measured data indicate that the proposed method is feasible, with the average relative errors of the simulated and measured data reaching and maintained at 2.2% and 3.7%, respectively.
American Psychological Association (APA)
Bu, Pu& Li, Chaokui& Liao, Mengguang& Yang, Wentao& Zhu, Chuanguang& Fang, Jun. 2020. An Approach for Estimating Underground-Goaf Boundaries Based on Combining DInSAR with a Graphical Method. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1125826
Modern Language Association (MLA)
Bu, Pu…[et al.]. An Approach for Estimating Underground-Goaf Boundaries Based on Combining DInSAR with a Graphical Method. Advances in Civil Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1125826
American Medical Association (AMA)
Bu, Pu& Li, Chaokui& Liao, Mengguang& Yang, Wentao& Zhu, Chuanguang& Fang, Jun. An Approach for Estimating Underground-Goaf Boundaries Based on Combining DInSAR with a Graphical Method. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1125826
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1125826