The Kunlunshan Mountain Ms8.1 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 prec...The Kunlunshan Mountain Ms8.1 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 coseismic 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, 2001 Ms8.1 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.展开更多
Using the ATG-6138 mercury detector recently developed by the Hangzhou Aadtech Co.Ltd.,a record of the co-seismic effect of mercury(Hg)vapor accompanying the 2015 Nepal M_S8.1 earthquake was obtained in the Mile monit...Using the ATG-6138 mercury detector recently developed by the Hangzhou Aadtech Co.Ltd.,a record of the co-seismic effect of mercury(Hg)vapor accompanying the 2015 Nepal M_S8.1 earthquake was obtained in the Mile monitoring well,Yunnan Province.This is the first record of co-seismic effect obtained by mercury vapor observation in China.Such a fact implies that it would be possible to record more information about crustal dynamic effects,such as solid tide,co-seismic effect,etc.,by further improving observation instrument precision and increasing the sampling frequency of the chemical quantity of subsurface fluids.This may help us to raise the capability of earthquake precursor monitoring and forecasting in the future.展开更多
基金supported by Natural Science Foundation of China(41274061 and 40374019)
文摘The Kunlunshan Mountain Ms8.1 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 coseismic 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, 2001 Ms8.1 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.
基金sponsored by the Earthquake Science and Technology Spark Plan,China (XH15041Y)
文摘Using the ATG-6138 mercury detector recently developed by the Hangzhou Aadtech Co.Ltd.,a record of the co-seismic effect of mercury(Hg)vapor accompanying the 2015 Nepal M_S8.1 earthquake was obtained in the Mile monitoring well,Yunnan Province.This is the first record of co-seismic effect obtained by mercury vapor observation in China.Such a fact implies that it would be possible to record more information about crustal dynamic effects,such as solid tide,co-seismic effect,etc.,by further improving observation instrument precision and increasing the sampling frequency of the chemical quantity of subsurface fluids.This may help us to raise the capability of earthquake precursor monitoring and forecasting in the future.