简易烈度计记录的噪声水平评价：以泸定MS6.8级地震为例

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振动与冲击 ›› 2024, Vol. 43 ›› Issue (18) : 313-320.

论文

简易烈度计记录的噪声水平评价：以泸定MS6.8级地震为例

郭文轩1，任叶飞1，姚鑫鑫1，岸田忠大2,3，江鹏4，王宏伟1，温瑞智1

作者信息 +

Evaluating on the noise level of MEMS record: case study in Luding M S6.8 earthquake

GUO Wenxuan1, REN Yefei1, YAO Xinxin1, KISHIDA Tadahiro2,3, JIANG Peng4， WANG Hongwei1， WEN Ruizhi1

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摘要

在我国地震预警和烈度速报系统中，烈度计被广泛使用。烈度计的频谱特征主要是通过检定实验室进行标定，但在破坏性地震中，烈度计响应特点缺少必要的研究分析。本文以2022年四川泸定MS6.8级地震为例，对比分析了烈度计记录和强震仪记录在噪声水平、信噪比(SNR)、高通滤波截止频率(fHP)取值以及有效周期范围(Tmax)方面的特点，综合评价了烈度计记录的频谱特征，分析了噪声影响。得到以下结论：（1）在整个频域范围内，烈度计记录的SNR要比强震仪记录平均意义上低一个数量级，可以估计烈度计动态范围较强震仪大致低20dB；（2）烈度计记录的最佳fHP取值相较于强震仪记录存在更大的不确定性，尤其是在竖直方向上；（3）烈度计记录的最佳fHP取值更大，反应谱Tmax较传统强震仪记录在水平方向小1-2s，在竖直方向小3s左右。该研究结果有助于合理应用烈度计记录，服务地震学和地震工程学相关研究。

Abstract

In China's earthquake early warning and intensity rapid reporting system, intensity meters are widely utilized. The spectral characteristics of intensity meters are primarily calibrated through testing laboratories. However, in destructive earthquakes, there is a lack of necessary research and analysis on the response characteristics of intensity meters.The 2022 Luding, Sichuan MS6.8 earthquake was taken as a case study, the comparison between MEMS records and strong-motion records were conducted in terms of the noise level, signal-to-noise ratio (SNR), optimal value of high-pass filter cutoff frequency (fHP) and the effective period range. The noise effect of MEMS record was evaluated finally. The following conclusions could be drawn: (1) Covering the entire frequency domain, the SNR of MEMS record is lower by an order of magnitude on average than the strong-motion records, indicating that the dynamic range of MEMS sensor is approximately 20 dB lower than that of the conventional accelerometer. (2) The optimal value of fHP for MEMS record has larger variability than the strong-motion record, standing out especially in the vertical component. (3) The optimal value of fHP for MEMS record is larger, resulting in a Tmax in response spectra than the traditional strong-motion record, which are about 1-2 seconds shorter in the horizontal component and about 3 seconds shorter in the vertical component. The results will contribute to the rational application of MEMS records, serving research in seismology and earthquake engineering.

导出引用

郭文轩1, 任叶飞1, 姚鑫鑫1, 岸田忠大2, 3, 江鹏4, 王宏伟1, 温瑞智1. 简易烈度计记录的噪声水平评价：以泸定MS6.8级地震为例[J]. 振动与冲击, 2024, 43(18): 313-320

GUO Wenxuan1, REN Yefei1, YAO Xinxin1, KISHIDA Tadahiro2, 3, JIANG Peng4, WANG Hongwei1, WEN Ruizhi1. Evaluating on the noise level of MEMS record: case study in Luding M S6.8 earthquake[J]. Journal of Vibration and Shock, 2024, 43(18): 313-320

参考文献

[1] 温瑞智. 我国强地震动记录特征综述[J]. 地震学报, 2016, 38(4): 550-563.
WEN Ruizhi. A review on the characteristics of Chinese strong ground motion recordings[J]. Acta Seismologica Sinica, 2016, 38(4): 550-563.
[2] JI K, REN Y F, WEN R Z, et al. Near-field velocity pulse-like ground motions on February 6, 2018 MW6. 4 Hualien, Taiwan earthquake and structural damage implications[J]. Soil Dynamics and Earthquake Engineering, 2019, 126: 105784.
[3] PANZA G F, MURA C L, ROMANELLI F, et al. Earthquakes, strong-ground motion[M]//Encyclopedia of solid earth geophysics. Cham: Springer International Publishing, 2021: 321-329.
[4] 周宝峰.强震观测中的关键技术研究[D].中国地震局工程力学研究所,2012.
ZHOU Baofeng. Some key issues on the strong motion observation[D]. Institute of Engineering Mechanics, China Earthquake Administration, 2012.
[5] 姚鑫鑫. 我国强震动记录精细化数据处理及Flatfile参数研究[D].中国地震局工程力学研究所,2023.
YAO Xinxin. Study on the elaborate data processing of strong motion record and the flatfile parameters in China[D]. Institute of Engineering Mechanics, China Earthquake Administration, 2023.
[6] 姚鑫鑫, 任叶飞, 温瑞智, 等. 满足数据同一性的强震动记录去噪滤波后处理输出方法[J]. (2023-03-27)[2023-11-28].https://kns.cnki.net/kcms/detail/11.2595.O3.20230327.1038.010.html.
[7] 姚鑫鑫, 任叶飞, 温瑞智, 等. 强震动记录的数据处理流程: 去噪滤波[J]. 工程力学, 2022, 39(S): 320-329.
YAO Xinxin, REN Yefei., WEN Ruizhi., et al. The procedure of filtering the strong motion record: denoising and filtering[J]. Engineering Mechanics, 2022, 39(S): 320-329.
[8] ANCHETA T D, DARRAGH R B, STEWART J P, et al. NGA-West2 database[J]. Earthquake Spectra, 2014, 30(3): 989-1005.
[9] LUZI L, PUGLIA R, RUSSO E, et al. The engineering strong‐motion database: A platform to access Pan-European accelerometric data[J]. Seismological Research Letters, 2016, 87(4): 987-997.
[10] 王墩, 孙琨. 地震大数据和 AI 如何改进全球大震参数快速测定?[J]. 地球科学, 2022, 47(10): 3915-3917.
WANG Dun, SUN Kun. How can seismic big data and AI improve the rapid determination of global earthquake parameters?[J]. Earth Science,2022, 47(10):3915-3917.
[11] ESPINOSA-ARANDA J M, CUELLAR A, GARICIA A, et al. Evolution of the mexican seismic alert system (SASMEX)[J]. Seismological research letters, 2009, 80(5): 694-706.
[12] D'ALESSANDRO A, D'ANNA R, GRECO L, et al. Monitoring earthquake through MEMS sensors (MEMS project) in the town of Acireale (Italy)[C]//2018 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL). IEEE, 2018: 1-4.
[13] WU Y M, CHEN D Y, LIN T L, et al. A high‐density seismic network for earthquake early warning in Taiwan based on low cost sensors[J]. Seismological Research Letters, 2013, 84(6): 1048-1054.
[14] CLAYTON R W, HEATON T, KOHLER M, et al. Community seismic network: A dense array to sense earthquake strong motion[J]. Seismological Research Letters, 2015, 86(5): 1354-1363.
[15] PRASANNA R, CHANDRAKUMAR C, NANDANA R, et al. “Saving Precious Seconds”-A novel approach to implementing a Low-Cost earthquake early warning system with Node-Level detection and alert generation[C]//Informatics. MDPI, 2022, 9(1): 25.
[16] PENG C, JIANG P, MA Q, et al. Chinese nationwide earthquake early warning system and its performance in the 2022 Lushan M 6.1 earthquake[J]. Remote Sensing, 2022, 14(17): 4269.
[17] D'ALESSANDRO A, LUZIO D, D'ANNA G. Urban MEMS based seismic network for post-earthquakes rapid disaster assessment[J]. Advances in Geosciences, 2014, 40: 1-9.
[18] HUANG C, ZHANG G, ZHAO D, et al. Rupture process of the 2022 Mw6. 6 Menyuan, China, earthquake from joint inversion of accelerogram data and InSAR measurements[J]. Remote Sensing, 2022, 14(20): 5104.
[19] 李萍萍,江鹏,李同林等.2021年9月16日四川泸县M_S6.0地震强地面运动特征分析[J].地震学报,2022,44(02): 260-270.
LI Pingping., JIANG Peng, LI Tonglin, et al. The strong ground motion characteristics of MS6.0 Luxian, Sichuan, earthquake on 16 September 2021[J]. Acta Seismologica Sinica, 2022, 44(02):260-270.
[20] 赵昆,林国良,杨黎薇等.2020年云南省巧家县M_S 5.0地震强震动记录初步分析[J].地震地磁观测与研究,2020,41(03):
ZHAO Kun., LIN Guoliang, YANG Liwei, et al. Strong motion record analysis of the Qiaojia MS 5.0 earthquake inYunnan Province, 2020. Seismological and Geomagnetic Obaervation and Research, 2020, 41(03):200-208.
[21] 汪贞杰, 郭祥云. 2022年9月5日四川泸定MS6.8地震矩心矩张量解[J].地震科学进展,2022,52(10):
WANG Zhenjie, GUO Xiangyun. The centroid moment tensor solution of 2022 Luding MS6.8 earthquake in Sichuan Province[J]. Progress in Earthquake Sciences, 2022, 52(10): 482-486.
[22] 江鹏 ,李萍萍, 李同林等.2022年四川泸定MS6.8地震强震动记录特征[J].地震研究,2023,46(04):593-602.
JIANG Peng, LI Pingping, LI Tonglin, et al. The characteristics of strong motion records of the 2022 Luding, Sichuan MS6.8 earthquake[J]. Journal of Seismological Research, 2023, 46(04): 593-602.
[23] 王光冲, 吴鹏, 李小军等. 基于背景噪声的烈度仪、强震计及地震计性能对比分析[J].地震地磁观测与研究,2019,40(05):109-113.
WANG Guangchong, WU Peng, LI Xiaojun, et al. Comparison and analysis of intensity meter, strong seismometer and seismometer based on background noise[J]. Seismological and Geomagnetic Observation and Research, 2019, 40(05): 109-113.
[24] 张红才, 金星, 王士成等. 烈度仪记录与强震及测震记录的对比分析——以2015年河北昌黎M_L4.5地震为例[J].地震学报,2017,39(02):273-285.
ZHANG Hongcai, JIN Xing, WANG Shicheng, et al. Comparative analyses of record by seismic intensity instrument with strong motion records and seismograph stations record: Taking the ML4.5 Changli earthquake of Gebei province for an example[J]. Acta Seismologica Sinica, 2017, 39(02): 273-285.
[25] KONNO K, OHMACHI T. Ground-motion characteristics estimated from spectral ratio between horizontal and vertical components of microtremor[J]. Bulletin of the Seismological Society of America, 1998, 88(1): 228-241.
[26] DB/T 10-2016, 数字强震动加速度仪.
DB/T 10-2016, Digital strong motion accelerograph
[27] BOORE D M, BOMMER J J. Processing of strong-motion accelerograms: needs, options and consequences[J]. Soil Dynamics and Earthquake Engineering, 2005, 25(2): 93-115.
[28] EVANS J R, ALLEN R M, CHUNG A I, et al. Performance of several low-cost accelerometers[J]. Seismological Research Letters, 2014, 85(1): 147-158.
[29] PENG C, JIANG P, CHEN Q, et al. Performance evaluation of a dense MEMS-based seismic sensor array deployed in the Sichuan-Yunnan border region for earthquake early warning[J]. Micromachines, 2019, 10(11): 735.