In 2004, China's digital seismic observation network project began to deploy 40 sets YRY-4 four-component borehole strainmeters in order to monitor earthquake preparation process. The paper describes observed solid t...In 2004, China's digital seismic observation network project began to deploy 40 sets YRY-4 four-component borehole strainmeters in order to monitor earthquake preparation process. The paper describes observed solid tidal strain discreteness and tidal factor anisotropy, analyzes the reliability of observational data and discusses the cause for this phenomenon. After getting rid of interferences, the network, in two years practice, has observed several pre-seismic strain anomalies at stations close to epicenters especially in the Wenchuan Ms8.0 megaquake. It shows that this borehole strainmeter network is capable of monitoring seismogenic process.展开更多
在分析青岛钻孔体应变干扰的基础上,对青岛钻孔体应变出现的短时畸变进行了统计分析。结果表明,青岛钻孔体应变短时畸变可能是钻孔岩壁岩块掉落引起的张性异常,不是地震前兆异常;短时畸变与气压短时突变波动引起的信号均包含有2 m in^5 ...在分析青岛钻孔体应变干扰的基础上,对青岛钻孔体应变出现的短时畸变进行了统计分析。结果表明,青岛钻孔体应变短时畸变可能是钻孔岩壁岩块掉落引起的张性异常,不是地震前兆异常;短时畸变与气压短时突变波动引起的信号均包含有2 m in^5 m in周期信号,比正常时多了5 m in的周期信号,两者的高频信号幅值相同,约为正常的1.5倍;气压的短时突变可引起青岛体应变观测出现固体潮同步波动畸变和曲线加粗变化。展开更多
基金supported by National Science Commission of China(No.1978-002)China Earthquake Administration(No.1982-220)
文摘In 2004, China's digital seismic observation network project began to deploy 40 sets YRY-4 four-component borehole strainmeters in order to monitor earthquake preparation process. The paper describes observed solid tidal strain discreteness and tidal factor anisotropy, analyzes the reliability of observational data and discusses the cause for this phenomenon. After getting rid of interferences, the network, in two years practice, has observed several pre-seismic strain anomalies at stations close to epicenters especially in the Wenchuan Ms8.0 megaquake. It shows that this borehole strainmeter network is capable of monitoring seismogenic process.
文摘在分析青岛钻孔体应变干扰的基础上,对青岛钻孔体应变出现的短时畸变进行了统计分析。结果表明,青岛钻孔体应变短时畸变可能是钻孔岩壁岩块掉落引起的张性异常,不是地震前兆异常;短时畸变与气压短时突变波动引起的信号均包含有2 m in^5 m in周期信号,比正常时多了5 m in的周期信号,两者的高频信号幅值相同,约为正常的1.5倍;气压的短时突变可引起青岛体应变观测出现固体潮同步波动畸变和曲线加粗变化。