Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/633324
Title: A Para-Whole Space Model for Underground Magnetic Resonance Sounding Studies
Authors: Tingting Lin;Yang Zhang;Ling Wan;Yongxing Qu;Jun Lin
subject: Magnetic resonance sounding|model resolution matrix|rotation matrix|underground detection
Year: 2016
Publisher: IEEE
Abstract: Determining the presence of water ahead of a tunnel face or mine well is important for preventing accidents and ensuring higher efficiency in underground engineering. The surface magnetic resonance sounding (SMRS) technique can provide more direct and quantitative estimates of subsurface water variations than other geophysical methods. However, MRS is more complicated when it is performed in underground conditions (UMRS), i.e., interference water often exists and produces an SMRS signal in the opposite direction to the detection direction. Therefore, para-whole space theories are proposed to apply MRS in underground engineering to identify interference water. Singular value decomposition (SVD) inversion algorithms and a model resolution matrix in SMRS were implemented in UMRS. By using a para-whole space model, the impact of the hollow area of the tunnel is effectively removed from the calculation results to distinguish the interference water in the aquifer. A comparison of the inversion results from half space and whole space models shows that the para-whole space model can produce more accurate inversion results of the location and amount of subsurface water. Our research provides a theoretical foundation for MRS detection in tunnels or mines.
URI: http://localhost/handle/Hannan/166706
http://localhost/handle/Hannan/633324
ISSN: 1939-1404
2151-1535
volume: 9
issue: 1
Appears in Collections:2016

Files in This Item:
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7182746.pdf3.17 MBAdobe PDFThumbnail
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Title: A Para-Whole Space Model for Underground Magnetic Resonance Sounding Studies
Authors: Tingting Lin;Yang Zhang;Ling Wan;Yongxing Qu;Jun Lin
subject: Magnetic resonance sounding|model resolution matrix|rotation matrix|underground detection
Year: 2016
Publisher: IEEE
Abstract: Determining the presence of water ahead of a tunnel face or mine well is important for preventing accidents and ensuring higher efficiency in underground engineering. The surface magnetic resonance sounding (SMRS) technique can provide more direct and quantitative estimates of subsurface water variations than other geophysical methods. However, MRS is more complicated when it is performed in underground conditions (UMRS), i.e., interference water often exists and produces an SMRS signal in the opposite direction to the detection direction. Therefore, para-whole space theories are proposed to apply MRS in underground engineering to identify interference water. Singular value decomposition (SVD) inversion algorithms and a model resolution matrix in SMRS were implemented in UMRS. By using a para-whole space model, the impact of the hollow area of the tunnel is effectively removed from the calculation results to distinguish the interference water in the aquifer. A comparison of the inversion results from half space and whole space models shows that the para-whole space model can produce more accurate inversion results of the location and amount of subsurface water. Our research provides a theoretical foundation for MRS detection in tunnels or mines.
URI: http://localhost/handle/Hannan/166706
http://localhost/handle/Hannan/633324
ISSN: 1939-1404
2151-1535
volume: 9
issue: 1
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7182746.pdf3.17 MBAdobe PDFThumbnail
Preview File
Title: A Para-Whole Space Model for Underground Magnetic Resonance Sounding Studies
Authors: Tingting Lin;Yang Zhang;Ling Wan;Yongxing Qu;Jun Lin
subject: Magnetic resonance sounding|model resolution matrix|rotation matrix|underground detection
Year: 2016
Publisher: IEEE
Abstract: Determining the presence of water ahead of a tunnel face or mine well is important for preventing accidents and ensuring higher efficiency in underground engineering. The surface magnetic resonance sounding (SMRS) technique can provide more direct and quantitative estimates of subsurface water variations than other geophysical methods. However, MRS is more complicated when it is performed in underground conditions (UMRS), i.e., interference water often exists and produces an SMRS signal in the opposite direction to the detection direction. Therefore, para-whole space theories are proposed to apply MRS in underground engineering to identify interference water. Singular value decomposition (SVD) inversion algorithms and a model resolution matrix in SMRS were implemented in UMRS. By using a para-whole space model, the impact of the hollow area of the tunnel is effectively removed from the calculation results to distinguish the interference water in the aquifer. A comparison of the inversion results from half space and whole space models shows that the para-whole space model can produce more accurate inversion results of the location and amount of subsurface water. Our research provides a theoretical foundation for MRS detection in tunnels or mines.
URI: http://localhost/handle/Hannan/166706
http://localhost/handle/Hannan/633324
ISSN: 1939-1404
2151-1535
volume: 9
issue: 1
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7182746.pdf3.17 MBAdobe PDFThumbnail
Preview File