Monitoring and early warning detection of collapse and subsidence sinkholes using an optical fibre seismic sensor
AbstractWe present and experimentally demonstrate a seismic ambient noise monitoring optical fibre sensor for early warning detection of sinkholes. The developed optical fibre sensor is designed for warning alert of subsidence and cover collapse sinkholes. The progressive process of sinkhole develop...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Cogent Engineering |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/23311916.2023.2301152 |
| _version_ | 1797352309349416960 |
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| author | James Jena Gaathier Mahed Tichakunda Chabata Moctar Doucoure Timothy Gibbon |
| author_facet | James Jena Gaathier Mahed Tichakunda Chabata Moctar Doucoure Timothy Gibbon |
| author_sort | James Jena |
| collection | DOAJ |
| description | AbstractWe present and experimentally demonstrate a seismic ambient noise monitoring optical fibre sensor for early warning detection of sinkholes. The developed optical fibre sensor is designed for warning alert of subsidence and cover collapse sinkholes. The progressive process of sinkhole development causes structural change in the subterranean surface. The impact of this change and its influence on the subsurface acoustic modes was detected in the form of variations in the spectral content of the ambient noise signals monitored in the subsurface. Structural surface integrity was monitored through frequency response as the void increased. Vibrational states relating to unsteady structural conditions were identified. Significant instability events were captured giving timely warnings before collapse. The polarisation based single mode fibre sensor and monitoring method is proposed for implementation in a phase sensitive distributed acoustic sensor setup. Peak frequencies in the micro-seismic noise band of 0.1 Hz to 1.0 Hz were observed through cavity development and growth. Extended peak frequency shifts and bandwidth in the band >1Hz were recorded, indicating weakness and imminence of collapse. Early warning detection by the structural field model was achieved prior to the sudden subsurface failure which results in collapse sinkholes. By monitoring variations in the vibrating frequency modes when a subsurface cavity develops within the structure, trigger events and collapse precursor conditions are identified. We have successfully demonstrated an early response warning annunciator by using an algorithm to analyse combinational characteristics of the spectral components of the detected signals. The fibre sensor reduces the risk and socio-economic impact of infrastructural damage due to sudden collapse of sinkholes and has extended potential of monitoring earthquakes and landslides. |
| first_indexed | 2024-03-08T13:14:38Z |
| format | Article |
| id | doaj.art-b6b1a2ca35af49cb97950e72dbd82cf5 |
| institution | Directory Open Access Journal |
| issn | 2331-1916 |
| language | English |
| last_indexed | 2024-03-08T13:14:38Z |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Engineering |
| spelling | doaj.art-b6b1a2ca35af49cb97950e72dbd82cf52024-01-18T10:12:46ZengTaylor & Francis GroupCogent Engineering2331-19162024-12-0111110.1080/23311916.2023.2301152Monitoring and early warning detection of collapse and subsidence sinkholes using an optical fibre seismic sensorJames Jena0Gaathier Mahed1Tichakunda Chabata2Moctar Doucoure3Timothy Gibbon4Centre for Broadband Communication, Physics Department, Nelson Mandela University, Port Elizabeth, South AfricaAEON-Earth Stewardship Research Institute and Department of Geoscience, Nelson Mandela University, Port Elizabeth, South AfricaOptics Research Group, Applied Physics Department, National University of Science and Technology, Ascot, ZimbabweAEON-Earth Stewardship Research Institute and Department of Geoscience, Nelson Mandela University, Port Elizabeth, South AfricaCentre for Broadband Communication, Physics Department, Nelson Mandela University, Port Elizabeth, South AfricaAbstractWe present and experimentally demonstrate a seismic ambient noise monitoring optical fibre sensor for early warning detection of sinkholes. The developed optical fibre sensor is designed for warning alert of subsidence and cover collapse sinkholes. The progressive process of sinkhole development causes structural change in the subterranean surface. The impact of this change and its influence on the subsurface acoustic modes was detected in the form of variations in the spectral content of the ambient noise signals monitored in the subsurface. Structural surface integrity was monitored through frequency response as the void increased. Vibrational states relating to unsteady structural conditions were identified. Significant instability events were captured giving timely warnings before collapse. The polarisation based single mode fibre sensor and monitoring method is proposed for implementation in a phase sensitive distributed acoustic sensor setup. Peak frequencies in the micro-seismic noise band of 0.1 Hz to 1.0 Hz were observed through cavity development and growth. Extended peak frequency shifts and bandwidth in the band >1Hz were recorded, indicating weakness and imminence of collapse. Early warning detection by the structural field model was achieved prior to the sudden subsurface failure which results in collapse sinkholes. By monitoring variations in the vibrating frequency modes when a subsurface cavity develops within the structure, trigger events and collapse precursor conditions are identified. We have successfully demonstrated an early response warning annunciator by using an algorithm to analyse combinational characteristics of the spectral components of the detected signals. The fibre sensor reduces the risk and socio-economic impact of infrastructural damage due to sudden collapse of sinkholes and has extended potential of monitoring earthquakes and landslides.https://www.tandfonline.com/doi/10.1080/23311916.2023.2301152Sinkhole monitoringoptic fibre sensorfibre interferometerpolarisationambient noiseZhongmin Jin |
| spellingShingle | James Jena Gaathier Mahed Tichakunda Chabata Moctar Doucoure Timothy Gibbon Monitoring and early warning detection of collapse and subsidence sinkholes using an optical fibre seismic sensor Cogent Engineering Sinkhole monitoring optic fibre sensor fibre interferometer polarisation ambient noise Zhongmin Jin |
| title | Monitoring and early warning detection of collapse and subsidence sinkholes using an optical fibre seismic sensor |
| title_full | Monitoring and early warning detection of collapse and subsidence sinkholes using an optical fibre seismic sensor |
| title_fullStr | Monitoring and early warning detection of collapse and subsidence sinkholes using an optical fibre seismic sensor |
| title_full_unstemmed | Monitoring and early warning detection of collapse and subsidence sinkholes using an optical fibre seismic sensor |
| title_short | Monitoring and early warning detection of collapse and subsidence sinkholes using an optical fibre seismic sensor |
| title_sort | monitoring and early warning detection of collapse and subsidence sinkholes using an optical fibre seismic sensor |
| topic | Sinkhole monitoring optic fibre sensor fibre interferometer polarisation ambient noise Zhongmin Jin |
| url | https://www.tandfonline.com/doi/10.1080/23311916.2023.2301152 |
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