Co-seismic changes of well water level and volume strain meter in capital area and its vicinity, due to the Nov.14, 2001 Ms8.1 Kunlun Mountain earthquake, China
Co-seismic changes of well water level and volume strain meter in capital area and its vicinity, due to the Nov.14, 2001 Ms8.1 Kunlun Mountain earthquake, China
复制标题
2001年11月14日昆仑山Ms8.1地震首都地区及周边地区井水位和体积应变仪同震变化
DOI：
10.1016/j.geog.2015.12.005
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发表时间：
2015-11
影响因子：
2.4
通讯作者：
Fu Qiong HUANG
中科院分区：
文献类型：
--
作者：
Fu Qiong HUANG
2001年11月14日发生的昆仑山口西Ms8.1级地震是我国地震监测史上第一次8级以上的地震，也是我国前兆监测台网数字化技术发展的第一次。对这次地震的记录资料进行研究，对于检验数字化监测网的运行情况，了解大陆强震的孕育、发生和应力应变的调整，都具有十分重要的意义。本文研究了2001年11月14日昆仑山口西8.1级地震后首都圈及邻区数字地震监测台网的井水位、地下水水位和钻孔体应变仪的同震响应变化。对比研究了井水位和应变仪对地震波的响应时间、波形或方式、振幅和持续时间。讨论了地下水对远震的响应变化可以理解为远震引起的应力应变变化的一种观测证据的可能性。
The Kunlunshan MountainMs8.1 earthquake, occurred in Nov.14, 2001, is the first event with magnitude more than 8 in the China earthquake monitoring history, specifically at the beginning of digital techniques in precursor monitoring networks. Any investigation of recorded data on this earthquake is very important for testing the operation of the digital monitoring networks and understanding the preparation, occurrence, and adjustment of stress/strain of strong continental earthquakes. In this paper we investigated the co-seismic response changes of well water level of groundwater and volume strain meter of bore hole in digital earthquake monitoring network of Capital area and its vicinity, due to the Nov.14, 2001Ms8.1 Kunlun Mountain earthquake. The responding time, shapes or manners, amplitudes, and lasting time of well water level and strain-meters to seismic wave are studied in comparison. Then we discussed the possibility that the response changes of groundwater to strong distant earthquakes can be understood as one kind of observing evidence of stress/strain changes induced by distant earthquake.
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影响因子：
3
作者：
Yan Zhang;Fu-qiong Huang
通讯作者：
Yan Zhang;Fu-qiong Huang
影响因子：
--
作者：
E. Roeloffs
通讯作者：
E. Roeloffs
影响因子：
3.9
作者：
Brodsky, EE;Roeloffs, E;Manga, M
通讯作者：
Manga, M
影响因子：
2.3
作者：
K. Rybicki
通讯作者：
K. Rybicki
影响因子：
56.9
作者：
H. Wakita
通讯作者：
H. Wakita