首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到20条相似文献,搜索用时 187 毫秒
1.
采用FSS-3DBH型井下地震计,测量山东省邹城市区域发生的矿震、爆破和天然地震相关事件信息,通过波形分析与波谱分析,对比研究不同类型地震事件特征.结果表明,该区域发生的矿震、爆破和天然地震的波形、幅值及频率等特征指标存在明显差异.通过实时监测该区域地震事件和进行相关的特征分析,可以为研究区域地震的基本规律提供客观数据和科学依据.  相似文献   

2.
明灯一号及邻近地区地震与爆炸的识别   总被引:2,自引:0,他引:2  
通过明灯一号大当量爆破资料,挑选其周边地区天然地震和人工爆破事件,研究天然地震和人工爆破事件的波形记录特征,并应用两种模式进行识别。结果表明振幅比判据能反映天然地震与人工爆破的本质区别,可以作为识别两类事件的有效判据。两种模式识别方法的U检验效果较好,表明该研究的特征和方法具有实际应用前景。  相似文献   

3.
为研究天然地震事件和爆破事件识别算法,对上海测震台网记录的上海周边区域天然构造地震和爆破事件记录进行小波包分解,并提取特征向量,提出用支持向量机(SVM)识别天然构造地震和人工爆破的算法。结果表明,基于SVM算法的向量识别分类方法,在天然地震和爆破识别中是可用的,准确率预计达85%以上。  相似文献   

4.
对琼北地区确定性井下人工爆破和天然地震事件波形特征进行梳理,分析人工爆破与天然地震波不同判据特征。结果表明:P波初动方向、振幅比是识别人工爆破和天然地震的2个主要判据;尾波持续时间、S波最大振幅与持续时间比可作为识别人工爆破和天然地震的一般判据;发震时间可根据事件的强度、规律性,并结合其他判据,仅作为识别过程中的参考因素。  相似文献   

5.
唐兰兰  王海涛 《内陆地震》2009,23(3):377-385
利用振幅分布、周期比以及频谱分析3种方法对爆破事件和天然地震进行特征提取.结果表明,地震平均最小振幅分布概率为69.85%,而爆破事件平均最小振幅分布概率为35.21%;天然地震周期比均值为1.431 1,爆破事件周期比均值为0.848 2;地震频谱优势频率集中在1~8 Hz,爆破频谱无明显优势分布.  相似文献   

6.
收集2008年以来海南测震台网记录的M_L 2.5以上地震及爆破资料,利用Brune圆盘模型,计算得出震源参数,发现地震、爆破的震源参数特征为:地震的拐角频率绝大多数大于爆破;地震应力降大于1,爆破应力降小于1;地震震源尺度绝大多数小于爆破。对一个有感疑爆事件,利用其拐角频率、应力降、震源尺度等参数,判定该事件为天然地震,与前人研究结果一致。由此可见,利用震源参数在地震速报、日常分析中判定事件类型具有实际意义。  相似文献   

7.
本文首先从震源波形中提取梅尔频率倒谱系数(MFCC)图,然后采用卷积神经网络(CNN)进行地震波形信号的震源类型—天然地震和爆破事件—分类识别.事件为首都圈及其附近的72个天然地震和101个人工爆破事件,用于提取梅尔频率倒谱系数图的波形信号为各观测台站波形3分量中的垂直分量波形.在各个事件的所有观测台站的垂直分量波形中,通过滑动窗口按同一准则去除被噪声淹没的部分台站波形,只选择留下未被噪声淹没的台站波形.每一个事件有107个观测台站,故有107份垂直分量波形,而不同事件被留下未被噪声淹没的波形则有几份至几十份不等.然后提取被留下未被噪声淹没的波形的梅尔频率倒谱系数图,以梅尔频率倒谱系数图作为CNN的输入,CNN的输出则为波形的震源类型(天然地震事件或爆破事件).若以单份波形为识别单元,采用五折交叉验证法进行测试,得到的平均准确率为95.78%.使用训练集中单份波形为识别单元,提取梅尔频率倒谱系数图,采用CNN训练出了天然地震事件与爆破事件波形分类器,一个事件在测试集中的多份波形信号通常不会都被正确识别,很可能有些波形被识别为天然地震事件,另一些波形被识别为爆破事件;这时,若识别单元改为事件,一个事件各台站的有效垂直分量波形中,超过一半的波形被识别为某一事件类型,则这个事件被归类为该事件类型,得到的正确识别率为97.1%.实验结果表明:卷积神经网络在天然地震事件与爆破事件的识别方面表现出色.这说明MFCC与卷积神经网络可以用于识别天然地震和爆破事件,尤其是深度学习更值得在地震信号处理方面做进一步的研究.  相似文献   

8.
近年来,天然地震与人工爆破特征识别作为地震事件分类识别的关键技术之一,随受关注度的不断提升获得了长足的发展。文中针对该研究方向出现的识别特征和特征提取方法进行了整体综述,以期为进一步深入研究天然地震与人工爆破特征识别以及拓展其应用领域奠定一定的基础。  相似文献   

9.
天然地震和爆破事件识别是地震监测预警的重要内容.近年来,快速发展的深度学习算法以其强大的数据特征挖掘和图像识别能力,能够较快并准确地约束地震事件属性.利用多输入卷积神经网络算法构建天然地震和爆破事件自动分类网络模型,其中输入信息包括多台站地震波形和单台站的地震时频数据,使得卷积神经网络同时获取事件的波形、频谱和极性特征...  相似文献   

10.
基于广东省数字遥测地震台网的天然地震动记录与人工爆破记录资料,采用直观快速识别的时域多指标对比分析方法,选取事件发震时间、波形震相特征、P波初动方向、P波和S波振幅比等多个时域判据,对广东省的天然地震和人工爆破事件进行识别和对比分析。结果表明,P波最大振幅与S波最大振幅的比值是识别天然地震和人工爆破较为有效的特征参数,P波初动方向可作为辅助识别依据。研究结果可为省地震台网天然地震和人工爆破事件的识别工作提供参考依据。  相似文献   

11.
A M3. 4 seismic event occurred in the Punggye-ri nuclear test site,D. P. R Korea at 16∶29 p.m. on September 23,2017. We analyzed the waveforms of this event recorded by the China Earthquake Networks Center. In conclusion,this event is complex,including an explosion with a successive earthquake. Although the beginning of the event is an explosion,fault dislocation plays the main role in the event.  相似文献   

12.
使用P/S谱比法重点对响水爆炸中信噪比较高的几个台站记录进行了处理分析。选取2013年1月19日发生在距其7 km左右的一次天然地震事件作为对比。得出频率在2—15 Hz范围内,90%以上的台站,爆炸P/S谱比大于1,天然地震这一值小于1,而在4—15 Hz范围内,这一结果达到了100%。为了进一步验证此方法判断爆炸与天然地震的可行性,本文又对2015年天津港爆炸事件进行计算,得到了相同的结果。此研究为使用P/S谱比法验证低震级爆炸提供案例。本文在研究的同时,对响水爆炸事件进行了波形特征及频谱特征分析。得出此事件地震记录的震相较单一,与普通的爆破记录较相似,并没有出现像2015年天津港爆炸中那样低速的空气声波与地面耦合的Rayleigh波。得到此事件有两个主频率,分别为0.2—1 Hz和4—10 Hz。   相似文献   

13.
本文利用京津冀地区地球物理观测数据和卫星热红外遥感数据,研究了2015 年8 月12日天津港地面爆炸时的地球物理响应,获得了爆炸点周边的地球物理场扰动信息。结果表明:① 事件点附近地电阻率对地面爆炸的响应较为明显,事件发生后地电阻率观测曲线幅值急剧变小,且持续很长时间;② 事件发生的前后两天,地电场观测曲线出现了小幅升降异常,且与空间电子流量微小幅度下降的时间相同,而相应时段的地磁场则无相关扰动;③ 卫星热红外亮温在事件发生后明显增强,持续数天后恢复至事件前水平;④ 事件点周围的地下水位和形变测量未见明显响应。上述结果表明不同的地球物理观测对该事件的响应有差异,这对于分析和研判与地震等相关的异常具有参考意义,同时本文讨论的观测结果也有利于深入认知天津爆炸事件的过程。   相似文献   

14.
利用天津地震台网23个短周期地震仪记录到的2015年8月12日天津港爆炸事件波形数据,对事件进行初步分析和研究。分别使用能量包络线法和波形匹配法,共识别出4次爆炸事件,并结合波形互相关的主事件定位法对爆炸事件进行定位。分析结果表明:第一次爆炸发生的时间为2015年8月12日23时34分4秒,1.77s后发生了规模更大的二号爆炸事件;34.11s后又发生了最强的三号爆炸事件;86.33s再一次发生了能量较弱的四号爆炸事件,其中二号与三号爆炸事件相距65~70m,二号与四号事件相距160~170m。此外,通过选用爆破、矿塌、核爆和天然地震等不同类型事件的波形数据,从时间域和频率域分别对这些事件进行对比分析,发现其震相特征表现出明显差异。  相似文献   

15.
Introduction On January 10, 1998, at 11h50min Beijing Time (03h50min UTC), an earthquake of ML=6.2 occurred in the border region between the Zhangbei County and Shangyi County of Hebei Province. In total 87 events with ML3.0 were recorded by Beijing Telemetry Seismic Network (BTSN) before March of 1999. Before relocation the preliminary hypocenters determined by BTSN showed an epicentral distribution of 25 km long and 25 km wide without any predominate orientation. The epicentral a…  相似文献   

16.
Introduction The January 10, 1998 Zhangbei-Shangyi, Hebei Province, earthquake has been the third large event of magnitude 6.0 and greater since the 1976 great Tangshan earthquake of magnitude 7.8 in the northern China (33皛42癗, 110皛124癊). Before this event, there were only two events of magnitude 6.0 and greater occurred in or around the Tangshan area since 1976: the M=6.9 Ninghe, Tianjin, earthquake of November 15, 1976 and the M=6.2 Hangu, Tianjin, earthquake of May 12, 1977. The …  相似文献   

17.
1936年4月1日广西灵山县平山镇东南罗阳山附近发生M6(3/4)地震,该地震是华南大陆自有地震记载以来发生的最大地震。本研究收集整理了灵山M6(3/4)地震的地质资料、活动断层探测最新成果等,选取适当的研究区域,利用随机振动有限断层模型计算区域内网格点的峰值加速度(PGA)及峰值速度(PGV)等参数,并且加入浅层横波速度结构Vs30对地震动参数的影响,最终得到此次地震的地震动分布并分析了地震动特征。本研究将模拟结果与野外调查烈度数据和地震动衰减关系进行对比,结果显示模拟结果与调查烈度值和衰减关系在整体衰减特征、极震区的分布等方面均符合较好,模拟结果可为该地区未来地震危害性评估提供依据。本研究所使用的方法流程亦可应用于本地区地震烈度速报,为震后应急救援及决策指挥提供帮助。  相似文献   

18.
For earthquakes (ML≥2.0) that occurred from January 2006 to October 2018 around the MS5.7 Xingwen earthquake occurred on 16 December 2018 in Xingwen, Sichuan province, China, we statistically investigated the correlation between the phase of Earth's rotation and the occurrence of earthquakes via Schuster's test to determine the signals that triggered earthquakes before the MS5.7 Xingwen event. The results were evaluated based on the P-value where a smaller P-value corresponded to a higher correlation between the occurrence of an earthquake and Earth's rotation. We investigated the spatial distribution of P-values in the region around the epicenter of the MS5.7 Xingwen event, and obtained a result exhibiting a extremely low-P-value region. The MS5.7 event occurred inside near the northern boundary of this region. Furthermore, we analyzed the temporal evolution of P-values for earthquakes that occurred within the extremely low-P-value region and found that some extremely low P-values (less that 0.1%), i.e., significant correlation, were calculated for earthquakes that occurred before the MS5.7 Xingwen earthquake. Among sixty-one earthquakes with the lowest P-value, occurred from May 2014 to April 2018, a vast majority of them occurred during the acceleration of Earth's rotation. The lower P-value obtained in this study reveals that the Xingwen source body probably was extremely unstable prior to the occurrence of the MS5.7 Xingwen earthquake.  相似文献   

19.
The MW7.9 Nepal earthquake of 25 April 2015 had over 8, 500 fatalities and was the most destructive earthquake in Nepal since the Bihar-Nepal earthquake in 1934. In this study, we imaged the rupture process of this Nepal event by back-projecting the teleseismic P-wave energy recorded at the three regional networks in Alaska, Australia and Europe. The back-projection images of the three subarrays revealed that the Nepal earthquake propagated along the strike in a southeast direction over a distance of ~ 160–170 km with the duration of ~ 50–55 s. The rupture process was found to be a simple, unilateral event with a near constant velocity of 3.3 km/s. The beam power was mainly distributed in the geographic region just north of Kathmandu and the peak intensity for the source time function curve occurred at about 30 s. The earthquake was destructive due to its occurrence at shallow depth (~ 12–15 km) and the fact that the capital lies in a basin of soft sediment. Additionally, the resonance effect for the longer period waves that occurred in the Kathmandu valley led to destructive aggravation, impacting mainly the taller buildings.  相似文献   

20.
The 2018,Songyuan,Jilin M_S5. 7 earthquake occurred at the intersection of the FuyuZhaodong fault and the Second Songhua River fault. The moment magnitude of this earthquake is M_W5. 3,the centroid depth by the waveform fitting is 12 km,and it is a strike-slip type event. In this paper,with the seismic phase data provided by the China Earthquake Network, the double-difference location method is used to relocate the earthquake sequence,finally the relocation results of 60 earthquakes are obtained. The results show that the aftershock zone is about 4. 3km long and 3. 1km wide,which is distributed in the NE direction. The depth distribution of the seismic sequence is 9km-10 km. 1-2 days after the main shock,the aftershocks were scattered throughout the aftershock zone,and the largest aftershock occurred in the northeastern part of the aftershock zone. After 3-8 days,the aftershocks mainly occurred in the southwestern part of the aftershock zone. The profile distribution of the earthquake sequence shows that the fault plane dips to the southeast with the dip angle of about 75°. Combined with the regional tectonic setting,focal mechanism solution and intensity distribution,we conclude that the concealed fault of the Fuyu-Zhaodong fault is the seismogenic fault of the Songyuan M_S5. 7 earthquake. This paper also relocates the earthquake sequence of the previous magnitude 5. 0 earthquake in 2017. Combined with the results of the focal mechanism solution,we believe that the two earthquakes have the same seismogenic structure,and the earthquake sequence generally develops to the southwest. The historical seismic activity since 2009 shows that after the magnitude 5. 0 earthquake in 2017,the frequency and intensity of earthquakes in the earthquake zone are obviously enhanced,and attention should be paid to the development of seismic activity in the southwest direction of the earthquake zone.  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号