| The Seasonal Variation of Large Volume Airgun Signals in Hutubi, Xinjiang |
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| 作者姓名： | SU Jinbo WANG Qiong ZHANG Wenxiu WEI Yunyun CHEN Hao WANG Haitao |
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| 作者单位： | Earthquake Agency of Xinjiang Uygur Autonomous Region, Urumqi 830011, China,Earthquake Agency of Xinjiang Uygur Autonomous Region, Urumqi 830011, China,Earthquake Agency of Xinjiang Uygur Autonomous Region, Urumqi 830011, China,Earthquake Agency of Xinjiang Uygur Autonomous Region, Urumqi 830011, China,First Monitoring Center of China Earthquake Administration, Tianjin 300180, China,China Earthquake Networks Center, Beijing 100045, China |
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| 基金项目： | This project sponsored by the National Key Research and Development Program (2018YFC1503200), the National Natural Science Foundation (41474051), Xinjiang Project Aided by Institute of Earthquake Forecasting of China Earthquake Administration(2016IES0103)and the Xinjiang Seismological Science Fund (201902). |
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| 摘 要： | In order to study the seasonal variation of large volume airgun signals in Hutubi, Xinjiang, we analyzed 2,936 signals of airgun source excitations during 2015-2016 received by a seismograph on the bank of the excitation pool. Firstly, the RMS value of the signal amplitude and the daily average temperature were compared after linearly superimposing the signal in days, to analyze the influence of the surface ice cover on the excitation energy release of the airgun source. The result shows that the ice cover will reduce the excitation energy, and the thicker the ice cover is, the more obvious the excitation energy reduces. Secondly, the time-frequency analysis method was used to analyze the influence of the surface ice cover on the signal frequency. It is concluded that the existence of the ice cover has little effect on the signal frequency, but it will affect the intensity of the signal around 4Hz between 1-2s after excitation. The cause of these phenomena is that the ice cover affects the bubble oscillation, which in turn affects the energy conversion. The study shows that when using the cross-correlation delay method to calculate the wave velocity, the signals can be divided into two periods according to the daily average temperature:with or without ice cover on the upper surface of the excitation pool. This can help eliminate the influence of the source variation and improve the accuracy of the monitoring results.
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| 关 键 词： | airgun source seasonal variation signal energy signal frequency |
| 收稿时间： | 2019/1/16 0:00:00 |
| 修稿时间： | 2019/3/10 0:00:00 |
The Seasonal Variation of Large Volume Airgun Signals in Hutubi, Xinjiang |
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| SU Jinbo,WANG Qiong,ZHANG Wenxiu,WEI Yunyun,CHEN Hao,WANG Haitao.The Seasonal Variation of Large Volume Airgun Signals in Hutubi, Xinjiang[J].Earthquake Research in China,2019,33(2):186-194. |
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| Authors: | SU Jinbo WANG Qiong ZHANG Wenxiu WEI Yunyun CHEN Hao and WANG Haitao |
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| Institution: | Earthquake Agency of Xinjiang Uygur Autonomous Region, Urumqi 830011, China,Earthquake Agency of Xinjiang Uygur Autonomous Region, Urumqi 830011, China,Earthquake Agency of Xinjiang Uygur Autonomous Region, Urumqi 830011, China,Earthquake Agency of Xinjiang Uygur Autonomous Region, Urumqi 830011, China,First Monitoring Center of China Earthquake Administration, Tianjin 300180, China and China Earthquake Networks Center, Beijing 100045, China |
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| Abstract: | In order to study the seasonal variation of large volume airgun signals in Hutubi, Xinjiang, we analyzed 2,936 signals of airgun source excitations during 2015-2016 received by a seismograph on the bank of the excitation pool. Firstly, the RMS value of the signal amplitude and the daily average temperature were compared after linearly superimposing the signal in days, to analyze the influence of the surface ice cover on the excitation energy release of the airgun source. The result shows that the ice cover will reduce the excitation energy, and the thicker the ice cover is, the more obvious the excitation energy reduces. Secondly, the time-frequency analysis method was used to analyze the influence of the surface ice cover on the signal frequency. It is concluded that the existence of the ice cover has little effect on the signal frequency, but it will affect the intensity of the signal around 4Hz between 1-2s after excitation. The cause of these phenomena is that the ice cover affects the bubble oscillation, which in turn affects the energy conversion. The study shows that when using the cross-correlation delay method to calculate the wave velocity, the signals can be divided into two periods according to the daily average temperature:with or without ice cover on the upper surface of the excitation pool. This can help eliminate the influence of the source variation and improve the accuracy of the monitoring results. |
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| Keywords: | airgun source seasonal variation signal energy signal frequency |
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