刘辰^1,,
李小军^1,2,,,
景冰冰²,
席楠^1,3,
田秀丰^1,4
1. 中国地震局地球物理研究所, 北京 100081
2. 北京工业大学, 北京 100124
3. 中国地震台网中心, 北京 100045
4. 中国地震局兰州地震研究所, 兰州 730000

基金项目: 国家自然科学基金重点项目（U1434210），中央级公益性科研院所基本科研业务费专项（0416904），国家自然科学基金创新群体项目（51421005）资助


详细信息

作者简介: 刘辰, 男, 1988年生, 博士研究生, 主要从事地震预警方面的研究.E-mail:liuchenigcea@126.com

通讯作者: 李小军, 男, 1965年生, 研究员, 博士生导师, 主要从事地震工程学和地震学等方面的研究.E-mail:beerli@vip.sina.com

中图分类号: P315

收稿日期:2017-07-28
修回日期:2019-02-27
上线日期:2019-04-05

The distance segmentation characters of PGV-Pd relationship parameters for earthquake early warning

LIU Chen^1,,
LI XiaoJun^1,2,,,
JING BingBing²,
XI Nan^1,3,
TIAN XiuFeng^1,4
1. Institute of Geophysics, China Earthquake Administration, Beijing 100081, China
2. Beijing University of Technology, Beijing 100124, China
3. China Earthquake Networks Center, Beijing 100045, China
4. Lanzhou Institute of Seismology, CEA, Lanzhou 730000, China


More Information

Corresponding author: LI XiaoJun,E-mail:beerli@vip.sina.com

MSC: P315

--> Received Date: 28 July 2017
Revised Date: 27 February 2019
Available Online: 05 April 2019


摘要
摘要:地震预警系统需要在破坏性的地震波到来前快速估算地震参数和地震动参数，以对可能出现的地震灾害进行预测，对重要工程、人员密集区域发布警报信息.以Pd估测PGV的方法是地震预警研究涉及的一种重要问题，该方法利用初至P波触发后前几秒的峰值位移（Pd）对最终地震动峰值速度（PGV）进行估算，以满足预警的需要.本文对2016年在日本发生的熊本地震及其前震、余震的震中距100 km以内、矩震级大于4级、井下基岩PGA>5 cm·s^-2和地表PGA>20 cm·s^-2的Kik-net强地震动记录进行处理分析，用于研究以Pd估测PGV的方法.将获得的强地震动数据按震中距从0~100 km平均划分为5个区段，在记录时间3~10 s范围内将Pd的计算取8个时间窗，分别对每个震中距区段、每一个Pd的时间窗下的PGV-Pd数据进行线性拟合，最终提出了一套应对不同震中距对位移幅值连续追踪测定PGV的算法.对每一个震中距区段的研究表明，震中距会对PGV-Pd关系产生影响.对5次地震进行验证分析，认为基于基岩记录估测基岩PGV的准确度高于基于地表记录估测地表PGV的准确度；对震中距进行分段的PGV估测方法准确度高于不考虑震中距因子的估测方法.最后拓展了将井下基岩Pd估测井下基岩PGV这种原地地震预警方法，使其能够为异地P波预警方法服务.
关键词: Pd方法/
地震预警/
熊本地震/
震级预测

Abstract:An earthquake early warning system needs to quickly estimate seismic ground motion parameters before arrival of destructive S-waves, thus permitting to predict damage of the earthquake, and provide alarm information for vital projects and densely-populated areas. The PGV-Pd method is an essential issue in the research on the earthquake early warning system. This method estimates the peak ground-motion velocity (PGV) from the initial few seconds of the P wave displacement amplitude parameters (Pd). This work analyzes the Kik-net records of the 2016 Kumamoto earthquake, including its foreshocks and aftershocks, with epicenter distance less than 100 km, magnitude greater than 4.0, downhole PGA>5 cm·s^-2 and surface PGA>20 cm·s^-2. These records are divided into 5 groups according to the epicenter distance from 0 km to 100 km. The time windows are calculated from 3 s to 10 s. The results show that the epicenter distance affects the relationship of PGV-Pd. Verification of 5 earthquakes indicates that the accuracy of PGV estimation based on borehole data is higher than that based on surface data, and the accuracy of PGV estimation based on data divided by distance is higher than that without consideration of distance. The strong ground motion of the M6.3 earthquake in December 2016 shows clear multiple ruptures and partial P-wave information concealment. The results of PGV estimation to this earthquake have been underestimated remarkably. Finally, we extend the donwhole PGV-Pd onsite warning method, so that it can serve the regional P wave early warning.
Key words:Pd method/
Earthquake early warning/
Kumamoto earthquake/
Magnitude prediction



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