Monitoring seismic velocity changes in the Dongtan Coal Mine using ambient noise correlationKey points
This study analyzed ambient seismic noise using the MSNoise package to monitor temporal changes in the underground seismic wave velocity in Mining Area 6 of the Dongtan Coal Mine in China. The data was recorded continuously over 76 days by 7 three-component stations and 10 single-component microseis...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2025-02-01
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| Series: | Earthquake Science |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1674451924000946 |
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| author | Chao Kong Kai Zhan Xiaotao Wen Ping Song Lianhai Zhang Hanying Ding |
| author_facet | Chao Kong Kai Zhan Xiaotao Wen Ping Song Lianhai Zhang Hanying Ding |
| author_sort | Chao Kong |
| collection | DOAJ |
| description | This study analyzed ambient seismic noise using the MSNoise package to monitor temporal changes in the underground seismic wave velocity in Mining Area 6 of the Dongtan Coal Mine in China. The data was recorded continuously over 76 days by 7 three-component stations and 10 single-component microseismic stations deployed in Dongtan Coal Mine, with station spacing ranging from 0.1 km to approximately 3 km. Using the causal and non-causal components of the Z-component cross-correlation function, along with moving-window cross-spectrum analysis and cumulative calculations with a 5-day window overlay, stable seismic velocity changes were obtained in the frequency band of 0.1 to 2 Hz. We found a correlation between the timing of average velocity changes and seismic events caused by underground mining processes. In particular, when the relative seismic velocity increased by 0.23%, larger energy minequakes typically occurred. This study shows that ambient noise correlation has great potential for predicting minequakes, guiding pressure-relief production, and providing warnings about the impact of overburden pressure. |
| format | Article |
| id | doaj-art-c2b81ee333d140e4b3c9738c4a14e90f |
| institution | OA Journals |
| issn | 1867-8777 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Earthquake Science |
| spelling | doaj-art-c2b81ee333d140e4b3c9738c4a14e90f2025-08-20T02:34:34ZengKeAi Communications Co., Ltd.Earthquake Science1867-87772025-02-01381475510.1016/j.eqs.2024.08.001Monitoring seismic velocity changes in the Dongtan Coal Mine using ambient noise correlationKey pointsChao Kong0Kai Zhan1Xiaotao Wen2Ping Song3Lianhai Zhang4Hanying Ding5Shandong Keyue Technology Co., Ltd, Jinan 250014, ChinaChengdu University of Technology, Chengdu 610059, China; Corresponding author.Chengdu University of Technology, Chengdu 610059, ChinaShandong Keyue Technology Co., Ltd, Jinan 250014, ChinaShandong Keyue Technology Co., Ltd, Jinan 250014, ChinaShandong Xiehe University, Jinan 250014, ChinaThis study analyzed ambient seismic noise using the MSNoise package to monitor temporal changes in the underground seismic wave velocity in Mining Area 6 of the Dongtan Coal Mine in China. The data was recorded continuously over 76 days by 7 three-component stations and 10 single-component microseismic stations deployed in Dongtan Coal Mine, with station spacing ranging from 0.1 km to approximately 3 km. Using the causal and non-causal components of the Z-component cross-correlation function, along with moving-window cross-spectrum analysis and cumulative calculations with a 5-day window overlay, stable seismic velocity changes were obtained in the frequency band of 0.1 to 2 Hz. We found a correlation between the timing of average velocity changes and seismic events caused by underground mining processes. In particular, when the relative seismic velocity increased by 0.23%, larger energy minequakes typically occurred. This study shows that ambient noise correlation has great potential for predicting minequakes, guiding pressure-relief production, and providing warnings about the impact of overburden pressure.http://www.sciencedirect.com/science/article/pii/S1674451924000946Dongtan Coal MineMSNoiseseismic ambient noiseseismic wave velocity changes |
| spellingShingle | Chao Kong Kai Zhan Xiaotao Wen Ping Song Lianhai Zhang Hanying Ding Monitoring seismic velocity changes in the Dongtan Coal Mine using ambient noise correlationKey points Earthquake Science Dongtan Coal Mine MSNoise seismic ambient noise seismic wave velocity changes |
| title | Monitoring seismic velocity changes in the Dongtan Coal Mine using ambient noise correlationKey points |
| title_full | Monitoring seismic velocity changes in the Dongtan Coal Mine using ambient noise correlationKey points |
| title_fullStr | Monitoring seismic velocity changes in the Dongtan Coal Mine using ambient noise correlationKey points |
| title_full_unstemmed | Monitoring seismic velocity changes in the Dongtan Coal Mine using ambient noise correlationKey points |
| title_short | Monitoring seismic velocity changes in the Dongtan Coal Mine using ambient noise correlationKey points |
| title_sort | monitoring seismic velocity changes in the dongtan coal mine using ambient noise correlationkey points |
| topic | Dongtan Coal Mine MSNoise seismic ambient noise seismic wave velocity changes |
| url | http://www.sciencedirect.com/science/article/pii/S1674451924000946 |
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