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作 者:徐芳芳[1] 朱成林[1] 贾媛[1] 李杰[1] 周长礼 周均太 XU Fangfang;ZHU Chenglin;JIA Yuan;LI Jie;ZHOU Changli;ZHOU Juntai(Shandong Earthquake Agency,20 East-Wenhua Road,Ji’nan 250014,China)
机构地区:[1]山东省地震局,济南市250014
出 处:《大地测量与地球动力学》2022年第7期755-759,共5页Journal of Geodesy and Geodynamics
基 金:中国地震局地震科技星火计划(XH21018,XH21019Y)。
摘 要:利用相对标定、四分量自检分析、M;潮汐因子相对中误差计算及与同台站TJ-2体应变观测资料进行相关性对比等方法,计算邹城地震台RZB-2分量式钻孔应变2020-01~2021-07更换探头前后仪器的内精度、自检情况及M;波潮汐因子精度,综合分析分量式钻孔应变观测系统的稳定性和观测数据的可靠性。结果表明,更换探头后邹城台RZB-2分量式钻孔应变数据内精度高,两组面应变符合四分量自检方程,相关系数接近1,面应变与体应变的面应变数据的相关性也接近1,仪器观测系统稳定,观测数据可靠。但2021年台站周边新建工厂导致干扰增多,数据潮汐因子精度较差,平均值为0.07左右,建议做好环境保护工作,以提高观测数据质量。We use the relative calibration method, the four-component self-test analysis, the relative error calculation of M;tidal factor, and the correlation comparison method with the observation data of TJ-2 volume borehole strain at the same station to calculate the internal accuracy of the instrument, the self-test situation, and the accuracy of M;tidal factor before and after the probe replacement of RZB-2 borehole strain instrument at Zoucheng station from January 2020 to July 2021. We further comprehensively analyze the stability of the borehole component strain instrument observation system and the reliability of data quality. The analysis shows that after the sensor probe change, the data of RZB-2 borehole strain instrument at Zoucheng station have high precision. The two groups of surface strains conform to the four-component self-test equation, and the correlation coefficient is close to 1. The correlation between surface strain and volume borehole strain surface strain data is also close to 1, that the instrument observation system is normal and stable, and the data are reliable. However, due to the increase of a new factory workshop around the station in 2021, pumping interference increases, and the accuracy of the tidal factor of the data is poor, the average value is about 0.07. We suggest that environmental protection work should be actively done to reduce the pumping interference and improve the observation quality of the data.
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