游秀珍,林彬华,李军,郭阳,于伟恒,李水龙. 2023. 福建省地震台网预警能力评估. 地震学报,45(1):126−141. doi: 10.11939/jass.20210173
引用本文: 游秀珍,林彬华,李军,郭阳,于伟恒,李水龙. 2023. 福建省地震台网预警能力评估. 地震学报,45(1):126−141. doi: 10.11939/jass.20210173
You X Z,Lin B H,Li J,Guo Y,Yu W H,Li S L. 2023. Evaluation of early warning capability of Fujian Province seismic network. Acta Seismologica Sinica45(1):126−141. doi: 10.11939/jass.20210173
Citation: You X Z,Lin B H,Li J,Guo Y,Yu W H,Li S L. 2023. Evaluation of early warning capability of Fujian Province seismic network. Acta Seismologica Sinica45(1):126−141. doi: 10.11939/jass.20210173

福建省地震台网预警能力评估

Evaluation of early warning capability of Fujian Province seismic network

  • 摘要: 由于常用的均方根值法和噪声功率谱法不能消除不同传感器记录的噪声干扰,为提高噪声水平计算的准确度,本文选用最大概率峰值位移作为背景噪声评估指标。基于可靠的噪声数据,借鉴震级-最大距离监测能力法并考虑预警时效,提出了地震预警最小震级评估方法,系统评估福建三类传感器网及其融合网的地震预警最小震级和预警首报时间。结果表明:测震强震融合网的地震预警最小震级高于单测震网,但明显低于强震网;强震烈度计融合网与单烈度计网的结果相近;三网融合后95%区域的地震预警最小震级约为ML3.2。由于烈度计网比测震和强震网密集,其预警首报时间最短;三网融合相对于单测震网或单强震网,其震后地震预警首报时间得到了明显缩短,预计95%区域的首报时间为4—6 s。本文研究为福建省的台网布局的优化和重点区域监测能力的提升提供了参考依据。

     

    Abstract: Since the common root-mean-square method and noise power spectrum method cannot eliminate the noise interference recorded by different types of sensors, we use the maximum probability peak displacement as the background noise evaluation index to calculate the noise level more accurate. Based on the reliable noise data, referring to the magnitude maximum distance monitoring capability method and considering the timeliness of earthquake early warning (EEW), an EEW minimum magnitude evaluation method is proposed. This new method can systematically evaluate the minimum magnitude of EEW and the warning time of independent three types of sensor networks and their fusion networks in Fujian. The results show that the minimum magnitude of EEW based on the fusion networks of the seismometer and the strong seismometer is higher than that of the single seismometer network, and obviously lower than that of the strong seismometer network. For fusion networks of strong seismometer and intensity meter, the minimum magnitude of EEW is similar to that of single intensity meter network. After integrating three types of networks, the minimum magnitude of EEW in 95% regions is about ML3.2. Because the density of intensity meter network is higher than the seismometer and strong seismometer network, the warning time is the shortest. Compared with the single seismometer network or single strong seismometer network, the warning time of EEW has been significantly reduced by three types sensor fusion networks, and the warning time in 95% regions is 4−6 seconds after an earthquake occurred as it is estimated. This study provides a reference to optimize the distribution of networks and increase the monitoring capacity of key regions in Fujian province.

     

/

返回文章
返回