2021-04-16河北滦州MS4.3地震前的大气电场异常信号分析

中国科学院国家空间科学中心分布在天津市宝坻区和廊坊市永清县的2个观测台站在2021-04-16河北滦州M_S4.3地震前均观测到大气电场异常。宝坻站监测到过境云与地质活动混合型电场异常信号；永清站监测到湾型持续电场异常信号，属于典型的临震前小时尺度先兆信号，其幅度和持续时间均明显高于宝坻站的异常电场信号。对比电场异常期间2个台站的气象活动和空间天气活动发现，虽然2台站电场异常信号的表现方式不同，但背景变化中均隐含大型地质活动信号。分析结果表明，未来可通过分析多源活动导致的空间静电演变过程，形成有效的识别方法，在一定的气象活动范围内，从大气静电监测数据中提取中等以上强度地震的前兆信息。

Analysis of the Abnormal Signal of Atmospheric Electric Field before the Luanzhou MS4.3 Earthquake on April 16, 2021

Both observation stations of the National Space Science Center, CAS, which are in Baodi district of Tianjin city and Yongqing county of Langfang city, observed atmospheric electric field anomalies before the Luanzhou M_S4.3 earthquake on April 16, 2021. The Baodi station monitored a mixed electric field anomaly signal of transit clouds and geological activities. The Yongqing station monitored a bay-like continuous electric field anomaly signal, showing a typical hour-scale precursor signal before the earthquake, and its amplitude and duration are significantly higher than the anomalous electric field signal at the Baodi station. Comparing the meteorological activities and space weather activities of the two stations during the electric field anomaly, we infer that although the electric field anomaly signals of the two stations behave differently; the background changes imply the signals of large-scale geological activities. The analysis shows that in the future, it is possible to form an effective identification method by analyzing the evolutionary process of space static electricity caused by multi-source activities. Within a certain range of meteorological activities, it is possible to extract the precursor information of earthquakes of medium intensity or more from the atmospheric static electricity monitoring data.