2016年台风“尼伯特”激发微地动的频率特征分析

台风可以改变海面波浪状态并激发出微地动信号，该信号可以传播至陆地并被宽频带地震仪记录到。本研究以201601号台风"尼伯特"为例，利用短时傅里叶变换，分析了7月3日12时至7月9日0时台风期间中国台湾和日本114个宽频带地震仪垂向分量信号功率谱特征。分析结果发现，在7月5日至7月7日之间，当台风距离台站1500~2000km时，中国台湾、琉球群岛及屋久岛的33个地震台站的地振动信号功率谱密度值显著增强，7月5日前后，在0.4Hz频率左右出现功率谱密度值增强的现象，之后由高频转至低频，7月7日左右功率谱密度值增强频率变化至约0.2Hz。利用全球地震背景噪声能量辐射模型模拟KGM台站所在位置（128.22°E，26.76°N）的双频微地动功率谱，结果表明7月5日至7日0.2~0.4Hz功率谱密度值增强，频率由约0.4Hz变化至0.2Hz的现象为海岸线反射效应所致。     

吉林测震台网数字台站台基噪声功率谱分析

介绍吉林测震台网数字台站仪器配置,对台网31个测震台站台基噪声功率谱进行计算,得出各地震台台基的地动噪声的均方根值、观测动态范围、地噪声功率谱,并将计算地动噪声功率谱作为吉林地震台网资料分析处理的一项日常工作进行.     

鹤岗地震台背景噪声分析

选取2015年和2019年在1月1日00时、06时、12时3个时段的数字地震资料,对鹤岗地震台进行台基地动噪声分析,确定台站的观测动态范围、地噪声功率谱密度及地动噪声RMS值,分析台站观测能力,找出影响观测的各种干扰因素。通过对该台站背景噪声的分析,有利于提高地震台站观测质量,为研究区域地震背景噪声积累数据。     

黑龙江省测震台站背景噪声及动态范围分析

通过对黑龙江省测震台站台基背景噪声数据的计算和分析,得到当前各参评台站台基背景噪声地动速度均方根值（RMS）、台基噪声等级以及有效测量动态范围,并对存在突出问题的PSD曲线进行分析。通过计算各台站功率谱密度,得出台站在不同频段受干扰的情况。分析认为,黑龙江省29个台站环境地噪声水平为Ⅰ级,碾子山地震台环境地噪声水平为Ⅱ级（受当地采矿业机械震动影响）,七台河地震台环境地噪声水平为Ⅳ级;除七台河地震台观测动态范围小于130 dB,其他台站均大于130 dB。     

青藏高原东北缘祁连山地区地震台阵背景地噪声特征

基于祁连山地区78个地震台站的垂直分量连续波形记录,计算台站对之间背景噪声的互相关函数,并叠加得到5-10 s和10-20 s两个周期的瑞利面波信号。利用归一化振幅方法,分析不同周期范围的噪声源能量在不同方位随季节变化的规律。研究结果显示：祁连山地区5-10 s周期背景噪声的能量优势来源,夏季集中在110°-170°方位,冬季集中在300°-350°方位,但在110°-150°方位也有相对微弱的能量分布,表明第二微震带的噪声能量来源在夏季主要来源于太平洋的海洋活动,冬季主要来源于大西洋的海洋活动;10-20 s周期背景噪声的能量优势来源在夏季集中在70°-150°和170°-230°方位,在冬季则集中在290°-350°和70°-130°方位,表明第一微震带的噪声能量在夏季主要来源于印度洋的海洋区域,冬季主要来源于北大西洋和太平洋。由于2个周期的背景噪声源在祁连山地区存在明显的季节差异,因此在利用背景噪声方法研究该地区介质速度结构时,需充分考虑噪声源非均匀性产生的影响。     

阿留申群岛地震台站方位角变化及其对横波分裂的影响

利用瑞雷波极化分析法计算了阿留申群岛上AK,AT,AV,IM,TA和XJ台网共59个地震台站的方位角及其随时间的变化。结果显示:阿留申群岛大部分台站的方位角与地理北极均存在一个小角度的偏差,极个别台站的偏差角度极大;部分台站的地震仪在摆放过程中受重新定北、安装新仪器等人为因素的影响,方位角大小在前后时段内并不一致。这充分说明台站方位角对横波分裂研究具有重要作用,当方位角偏离地理北极度数较大时,其对横波分裂研究的影响则不可被忽略,需要对地震数据分时段进行相应台站方位角的校正。      

江苏省测震台网井下地震计方位角检测

为获取江苏省测震台网井下地震计精确方位角,架设地面参考地震计,将其精确指北,并与井下地震计检测结果进行对比,利用相关分析法计算22个深井台站精度较高的方位角。研究结果表明,受多因素制约,井下地震计检测结果普遍偏差较大,部分台站水平向分量几乎反向,如提井,需重新进行方位角检测;地面与井下地震计同频带有利于提高相关性,从而获取高精度检测结果;利用不同频带地震计进行井下地震计方位角检测时,对较宽频带地震计进行仿真处理尤为重要;溧阳2台站新建井下地震计检测结果表明相关分析法可应用于井下地震计方位角检测;尽可能选择台基噪声功率谱密度曲线具有明显波峰频段作为滤波频段,有利于提高地面与井下地震计观测数据相关性,提高方位角检测精度。     

2011年日本MW9.0地震引发的海啸对地震背景噪声的影响

基于北美沿岸和内陆地震台站的连续地震波形记录,并结合沿岸台站附近布设的DART系统记录的海底压力数据以及预测潮汐数据,利用时频分析和极化分析方法对2011年3月11日日本东北部海域M_W9.0大地震所激发的海啸对地震背景噪声所产生的影响予以深入分析。结果显示:海啸对高频噪声（1.3—1.5 Hz）以及短周期双频微地动噪声（0.18—0.4 Hz）的影响较小,但海啸显著增强了长周期双频微地动（0.1—0.15 Hz）、单频微地动（0.05—0.08 Hz）以及地球背景自由振荡（0.004—0.007 Hz）的振幅,且随着噪声频率的降低,这种振幅增强的影响更明显,影响的持续时间也更长;海啸到达近岸时,对附近台站的各频段噪声均有影响,成为各频段噪声的主控能量来源,且其位置在后续过程中会随时间变化。这表明海啸对噪声特征的影响与海啸传播特性有关,即海啸在传播过程中因受水深、海底地形以及近岸地形的反射、衍射等的影响,能量聚集区域随时间而变化,并非均匀地传播到海岸, 从而导致了不同频带噪声主极化方向随时间的变化。      

甘东南地区宽频带地震台阵背景噪声特征分析

基于甘肃东南地区150个宽频带流动台站2010年的垂直分量连续波形记录,通过计算台站对之间背景噪声的互相关函数并叠加得到5—10s和10—20s两个周期的瑞雷面波信号,并通过信噪比和归一化背景能量流两种方法研究了该地区背景噪声源的时空演化特征.研究结果表明,甘东南地区5—10s和10—20s周期的背景噪声源具有明显的季节变化特征和各自的优势方位.5—10s周期的背景噪声在夏季的能量优势方位为170°—240°,噪声源主要位于印度洋,而冬季为100°—150°,主要位于北太平洋;10—20s周期的背景噪声源则比较复杂,其优势方位受多个大洋的交替影响,夏季噪声源能量优势方位为170°—210°,噪声源主要位于印度洋,冬季为90°—150°和310°—355°,噪声源分别位于北太平洋和北大西洋.由于这两个周期的背景噪声源在甘东南地区存在明显的季节变化,因此在利用背景噪声方法研究该地区介质速度结构时需充分考虑噪声源的非均匀性所产生的影响.      

四川地区地震背景噪声特征分析

选取四川省数字测震台网2015年1月1日至2018年12月31日期间60个固定台站的三分量连续波形记录,计算了台站噪声加速度功率谱密度及相应的概率密度函数分布,统计了不同频率下的噪声功率谱密度值分布,对不同区域、不同频率下背景噪声水平的变化特征予以分析。结果表明:大部分地震台站的高频段噪声由于受到台站附近人为的、规律的作息生活和生产方式的影响,呈现明显的季节性变化和日变化,即夏季噪声水平升高,冬季降低,在农历春节期间达到全年最低值,地理空间分布特征不明显;第二类地脉动冬季噪声水平升高,夏季降低,季节性变化明显,平均变化为1—5 dB,且冬季峰值出现的频率向长周期方向移动1—2 s,呈现明显的地理空间分布特征,川东地区平均噪声水平最高,攀西地区次之,川西高原最低;与第二类地脉动相比,第一类地脉动观测到的噪声能量较弱,季节性变化不明显,地理空间分布的噪声水平差异明显减小;在20 s以上的长周期部分,台站噪声未呈明显的季节性和地理空间分布差异。此外,将地震计安置在山洞和井下,可以有效地降低台站周围干扰源、温度和压强对高频段和长周期观测的影响,噪声水平低于地表安装方式。      

基于中国内陆大孔径地震台阵的Rayleigh面波噪声源分布特征研究

Rayleigh面波地震背景噪声成像技术已被成功运用到全球范围不同尺度的地球内部结构的研究中,并以背景噪声场是时空均匀分布为前提假设.然而真实的噪声源分布的时空非均匀性将导致经验格林函数提取存在偏差,最终影响噪声成像结果的精准性.近年来,噪声源分布特征研究逐步成为提高噪声成像精准度、深化地震背景噪声成像的关键问题.本文利用频率-波束域分析法对中国西北地区的一个大孔径台阵(WuTan Array,简称WTA)在2014全年的垂直分量连续记录做了聚束分析,研究了Rayleigh波噪声源分布特征.结果显示:WTA台阵成功探测到了10～20s周期范围的来自于全球不同方位的Rayleigh波噪声信号,其源区分布具有明显的季节变化特征:冬季集中分布在北大西洋方位,而夏季则转为印度洋方位噪声信号最强.此外,Rayleigh波噪声源区空间分布还表现出一定的频率依赖性,即在较低频段(0.0488～0.0635Hz)在北大西洋、北太平洋、印度洋及西太平洋四个方位均有分布;而在频率较高频段(0.0928～0.1025Hz)则集中分布于西太平洋方位.Rayleigh波噪声源时空分布特征和频率依赖性与海洋活动本身的季节性变化和频谱特征有关.并初步推测本文所观测到的Rayleigh波是由加剧的海浪运动直接作用于海岸、大陆架或海底而激发产生的第一类地脉动噪声信号.     

Analysis of the primary and secondary microseisms in the wavefield of the ambient noise recorded in northern Poland

Seasonal changes of the primary and secondary microseisms were analysed in the wavefield of the ambient noise recorded during the entire 2014 at the “13 BB star” array located in northern Poland, composed of thirteen, symmetrically arranged, broadband seismic stations. To that, spectral analysis, seismic interferometry, surface scalar wind speed distribution, and beamforming were used. Spectral analysis allowed to observe that a splitting of the secondary microseism peak was present in winter and autumn, and that the primary microseism peak was visible in spring, summer and autumn. Using seismic interferometry, the long-term characteristics of the noise wavefield were recognized. The seasonal variations of the secondary microseism source were described by means of the analysis of the surface scalar wind speed for each month. The splitting of the secondary peak was attributed to the interaction of a strong wind blowing from the North Sea with a weak wind blowing from the Baltic Sea. The seasonal variations of the primary microseism peak were characterized through the frequency-domain beamforming. The peak was identified during spring, summer and autumn, when the generated wavefield was coming from the Baltic Sea. The velocity of the wavefield was evaluated within the 2.0–5.0 km/s range. The described mechanism of generation of the microseisms, based on the interaction of the nearby winds, was found to be consistent with the models reported in the literature.     

西北太平洋海岛地区地震背景噪声特征及海洋学解释

地震背景噪声特性及噪声源的分布研究逐渐成为深化背景噪声层析成像的关键问题.海岛地区由于特殊的地理位置,其背景噪声具有相对独特的特征.地脉动（约0.003~1 Hz）是地震背景噪声中能量最强的分量,其激发与特性被认为与海浪运动和固体地球之间的相互作用有关,但海岛地区地脉动特征与海洋波浪场之间的关系尚未被充分研究.本文利用西北太平洋海岛地震台站的连续记录数据、波浪浮标的实测数据以及WAVEWATCH-Ⅲ海浪模式的数值模拟结果,通过地震学和海洋学的交叉,分析海岛地区地脉动信号的时频特性及其与海洋波浪场之间的相关性,从海洋学角度对地脉动信号的特征及激发进行探讨与解释.结果表明,海岛地区地脉动信号相对于内陆地区更强,并具有明显且稳定的季节性变化特征：高频地脉动信号（0.12~0.32 Hz）在夏秋季节（5月-10月）相对较弱,而在冬春季节（11月-次年4月）相对较强,与北半球海洋活动季节性变化相一致.此外,海岛地区地脉动主要受周边海域波浪场影响,与周边海域波浪能功率密度及实测和数值模拟所得的有效波高均具有很好的互相关性.该研究结果同时表明可进一步发展利用地脉动观测数据反演海表波浪场的可能,为海洋科学研究中海表波浪场连续观测数据的获取提供地震学上的支持.     

A PRELIMINARY STUDY ON UPPER CRUSTAL VELOCITY STRUCTURE IN THE THREE GORGES RESERVOIR AREA

In this paper, using the double difference tomography method, the P wave and S wave velocity structures of the earth's crust beneath the Three Gorges Reservoir are inversed based on the high-resolution seismic data of seismological stations recorded from March 2009 to December 2010. According to the research results, the P wave and S wave crust velocity zones in the Three Gorges Reservoir area show a high V_P value area and a V_S value area with value low in the lower part and high in the upper part, distributing respectively at both sides of Shennongxi River to western Xietan in the north of Badong and near the outlet of the Xiangxi River at the northern section on Xiannvshan Fault. In the region from the two sides of Shennong River in the north of Badong to the western Xietan, microseisms are distributed in three zones in near east-west direction, with steep and north-dipping sections, spreading along the high-to-low velocity transition zone of the P and S wave. On the northern section of Xiannvshan Fault, small earthquakes are distributed along the NNW-trending Xiannvshan Fault, and the geological section reveals a steep and linear distribution along the transitional zone between the high V_P value area and the V_S value that is low in the upper and high in the lower part. Joint inversion results show a good consistency of the planes of the microseisms with the distribution of active faults.     

Ocean-generated microseismic noise located with the Gräfenberg array

The main cause for mid-period seismic ground distortions are ocean waves generated by atmospheric disturbances. These act upon the earth through different mechanisms. The microseismic wavefield can be divided into primary (T =12–18 s) and secondary (T = 6–9 s) noise. Classical theory tells that the origin of these induced ground distortions depends on the location and the intensity of the low pressure region. A considerable part of the microseismic wave field reaches the GRF-array in southern Germany with high coherency and almost constant amplitudes. Thus it is possible to locate the generating areas using frequency-wavenumber analysis. Five discrete generating areas for secondary microseisms and three generating areas for primary microseisms could be determined in the Atlantic Ocean, the Arctic Sea and the Mediterranean Sea by investigating broadband continuous recordings over four months in winter 1995/96. An essential result is the long-time constancy of the backazimuths of the coherent part of the microseismic wavefield with respect to the origin areas, independent of the location of the moving low pressure zone. Results from a triangulation using additionally broadband data from the NORSAR-array and an independent estimation of the distance of the source region with water wave dispersion data indicate an origin of the secondary microseismic wavefield near the north-Norwegian coast for the strongest source. The array analysis of a temporary network of ten three-component broadband stations in south-east Germany shows that the ratio of energy between coherent Love and Rayleigh waves is much higher for the primary than for the secondary microseismic noise wavefield. This indicates differences in the source mechanisms.     

Analysis of seismic noise in the Romanian-Bulgarian cross-border region

We present the first detailed investigation of the background seismic noise recorded in the Romanian-Bulgarian cross-border region over 3 years (2012–2015). We used the power spectral densities probability density functions (PSD PDFs) to study the noise variations in the period domain (0.025–1 s) as well as in the secondary microseism band (2–10 s). Strong diurnal variations and an increase of the noise levels during working days were observed at high frequencies at all stations, thus confirming the anthropic origin of the noise at low periods. The noise variations observed at longer periods (>?1 s) are relatively small among the stations and are related to season changes. The dominant feature in the noise spectra between 2 and 10 s is the double-frequency peak (DFP) whose amplitude increases and changes during winter. For a specific interval, from 25th to 27th of January 2014, when a storm was reported in the Black Sea area, the maximum of the DFP shifted from larger periods (~?5.5 s) at stations far from the Black Sea towards smaller periods (~?1.8 s) at stations located on the coastline. The polarization analysis showed that the short period double-frequency microseisms originating from the Black Sea dominate during the winter month. Finally, we showed that site conditions vary due to noise variations related to weather conditions in the Black Sea or to changes in anthropogenic noise sources.