Detection and Analysis of Near-Surface Explosions on the Kola Peninsula

Seismic and infrasonic observations of signals from a sequence of near-surface explosions at a site on the Kola Peninsula have been analyzed. NORSAR’s automatic network processing of these events shows a significant scatter in the location estimates and, to improve the automatic classification of the events, we have performed full waveform cross-correlation on the data set. Although the signals from the different events share many characteristics, the waveforms do not exhibit a ripple-for-ripple correspondence and cross-correlation does not result in the classic delta-function indicative of repeating signals. Using recordings from the ARCES seismic array (250 km W of the events), we find that a correlation detector on a single channel or three-component station would not be able to detect subsequent events from this source without an unacceptable false alarm rate. However, performing the correlation on each channel of the full ARCES array, and stacking the resulting traces, generates a correlation detection statistic with a suppressed background level which is exceeded by many times its standard deviation on only very few occasions. Performing f-k analysis on the individual correlation coefficient traces, and rejecting detections indicating a non-zero slowness vector, results in a detection list with essentially no false alarms. Applying the algorithm to 8 years of continuous ARCES data identified over 350 events which we confidently assign to this sequence. The large event population provides additional confidence in relative travel-time estimates and this, together with the occurrence of many events between 2002 and 2004 when a temporary network was deployed in the region, reduces the variability in location estimates. The best seismic location estimate, incorporating phase information for many hundreds of events, is consistent with backazimuth measurements for infrasound arrivals at several stations at regional distances. At Lycksele, 800 km SW of the events, as well as at ARCES, infrasound is detected for most of the events in the summer and for few in the winter. At Apatity, some 230 km S of the estimated source location, infrasound is detected for most events. As a first step to providing a Ground Truth database for this useful source of infrasound, we provide the times of explosions for over 50 events spanning 1 year.     

Earthquake Location Accuracies in Norway Based on a Comparison between Local and Regional Networks

—?Detailed studies of the low to intermediate seismicity in two coastal regions of Norway have been used in a comparison between earthquake locations from local high-precision networks on the one side and locations using a sparse regional array network on the other side. To this end, a reference set of 32 low-magnitude earthquakes have been located using two local temporary networks in northern and western Norway, with estimated epicenter accuracies better than 5 and 10?km, respectively. Comparisons are made between the local network solutions and the NORSAR Generalized Beamforming (GBF) system, which provides automatic phase association and location estimates using the Fennoscandian regional array network. The median automatic GBF location error is of the order of 20–30?km when four or more arrays detect the event, increasing to about 80–100?km when only two arrays are available, and the automatic GBF bulletin is essentially complete down to magnitude M_L = 2.0. Most of the mislocation vectors of the NORSAR GBF solutions are oriented perpendicular to the Norwegian coast, and with a tendency to pull the location in a southeasternly direction. The GBF performance is clearly better, both in terms of accuracy and completeness, than the performance of the automatic bulletin of the Prototype International Data Center (PIDC) which uses data from essentially the same network. The analyst reviewed NORSAR and PIDC bulletins show, not unexpectedly, an improvement in location accuracy compared to the automatic solutions and appear to be of similar quality for the few common events, with an average mislocation of about 20?km. The NORSAR reviewed bulletin is more complete at low magnitudes compared to PIDC, and there appears to be a potential for significant improvements in the PIDC processing of small seismic events in this region.     

Use of GSETT-3 gamma data in the Slowness-Azimuth Calibration of IMS primary arrays at regional distances

For the purpose of verifying compliance with the CTBT seismic monitoring is one of the four techniques used by the IDC. In order to improve the accuracy of the automatic and the reviewed bulletin epicenter locations the IDC uses SASC for the IMS seismic stations. SASC determination is a straightforward calculation done by comparing for selected events the azimuth and slowness from the waveform processing using array techniques to the theoretical values based on the event locations and the velocity model.The main problem, however, is to build a set of reference events, whose locations are accurate enough and not based on information from the stations to be calibrated. A reference event list assumed to meet this requirement is the Gamma bulletin, which was collected since 1993 and was compiled in the framework of the GSETT-3. In this work calculation of SASC for regional to teleseismic distances (up to 30 degrees) was performed for 11 IMS primary arrays. The calculation was done using Pg, Pn, P, Sg, Sn, and S phases based on the detection list obtained from the pIDC and the Gamma bulletin for 6 years (1993–1999). The number of Gamma events varies from several hundreds for some arrays (BRAR) to several tens of thousands for others (i.e. ARCES, ILAR). Due to the fact that the Gamma bulletin is purely voluntary, the coverage is non-uniform both in time and in space and the location accuracy is non-uniform. This drawback can be overcome by encouraging signatory states to submit quality Gamma bulletin data to the IDC. The work presented here can be used as a routine procedure for improving IMS array performance, especially at regional distances.     

The Applicability of Incoherent Array Processing to IMS Seismic Arrays

The seismic arrays of the International Monitoring System (IMS) for the Comprehensive Nuclear-Test-Ban Treaty (CTBT) are highly diverse in size and configuration, with apertures ranging from under 1 km to over 60 km. Large and medium aperture arrays with large inter-site spacings complicate the detection and estimation of high-frequency phases lacking coherence between sensors. Pipeline detection algorithms often miss such phases, since they only consider frequencies low enough to allow coherent array processing, and phases that are detected are often attributed qualitatively incorrect backazimuth and slowness estimates. This can result in missed events, due to either a lack of contributing phases or by corruption of event hypotheses by spurious detections. It has been demonstrated previously that continuous spectral estimation can both detect and estimate phases on the largest aperture arrays, with arrivals identified as local maxima on beams of transformed spectrograms. The estimation procedure in effect measures group velocity rather than phase velocity, as is the case for classical f–k analysis, and the ability to estimate slowness vectors requires sufficiently large inter-sensor distances to resolve time-delays between pulses with a period of the order 4–5 s. Spectrogram beampacking works well on five IMS arrays with apertures over 20 km (NOA, AKASG, YKA, WRA, and KURK) without additional post-processing. Seven arrays with 10–20 km aperture (MJAR, ESDC, ILAR, KSRS, CMAR, ASAR, and EKA) can provide robust parameter estimates subject to a smoothing of the resulting slowness grids, most effectively achieved by convolving the measured slowness grids with the array response function for a 4 or 5 s period signal. Even for medium aperture arrays which can provide high-quality coherent slowness estimates, a complementary spectrogram beampacking procedure could act as a quality control by providing non-aliased estimates when the coherent slowness grids display significant sidelobes. The detection part of the algorithm is applicable to all IMS arrays, with spectrogram-based processing offering a potential reduction in the false alarm rate for high-frequency signals. Significantly, the local maxima of the scalar functions derived from the transformed spectrogram beams are robust estimates of the signal onset time. High-frequency energy is of greater importance for lower event magnitudes and in the cavity decoupling detection evasion scenario. There is a need to characterize both propagation paths with low attenuation of high-frequency energy and situations in which parameter estimation on array stations fails.     

Perspectives of Cross-Correlation in Seismic Monitoring at the International Data Centre

We demonstrate that several techniques based on waveform cross-correlation are able to significantly reduce the detection threshold of seismic sources worldwide and to improve the reliability of arrivals by a more accurate estimation of their defining parameters. A master event and the events it can find using waveform cross-correlation at array stations of the International Monitoring System (IMS) have to be close. For the purposes of the International Data Centre (IDC), one can use the spatial closeness of the master and slave events in order to construct a new automatic processing pipeline: all qualified arrivals detected using cross-correlation are associated with events matching the current IDC event definition criteria (EDC) in a local association procedure. Considering the repeating character of global seismicity, more than 90 % of events in the reviewed event bulletin (REB) can be built in this automatic processing. Due to the reduced detection threshold, waveform cross-correlation may increase the number of valid REB events by a factor of 1.5–2.0. Therefore, the new pipeline may produce a more comprehensive bulletin than the current pipeline—the goal of seismic monitoring. The analysts’ experience with the cross correlation event list (XSEL) shows that the workload of interactive processing might be reduced by a factor of two or even more. Since cross-correlation produces a comprehensive list of detections for a given master event, no additional arrivals from primary stations are expected to be associated with the XSEL events. The number of false alarms, relative to the number of events rejected from the standard event list 3 (SEL3) in the current interactive processing—can also be reduced by the use of several powerful filters. The principal filter is the difference between the arrival times of the master and newly built events at three or more primary stations, which should lie in a narrow range of a few seconds. In this study, one event at a distance of about 2,000 km from the main shock was formed by three stations, with the stations and both events on the same great circle. Such spurious events are rejected by checking consistency between detections at stations at different back azimuths from the source region. Two additional effective pre-filters are f–k analysis and F _prob based on correlation traces instead of original waveforms. Overall, waveform cross-correlation is able to improve the REB completeness, to reduce the workload related to IDC interactive analysis, and to provide a precise tool for quality check for both arrivals and events. Some major improvements in automatic and interactive processing achieved by cross-correlation are illustrated using an aftershock sequence from a large continental earthquake. Exploring this sequence, we describe schematically the next steps for the development of a processing pipeline parallel to the existing IDC one in order to improve the quality of the REB together with the reduction of the magnitude threshold.     

Application of array-based waveform cross-correlation techniques to aftershock sequences: the 2003 Lefkada Island,Greece, case

Cross-correlation analysis was applied to events in the 2003 Lefkada Island, Greece, sequence in order to identify clusters of seismicity within the extensive aftershock sequence along a fault zone of approximately 100 km length. Data from the small-aperture TRISAR array, covering the first 2 days of aftershock activity, were used. Array-based waveform correlation has a great advantage over single channel correlation analysis in that the validity of waveform matches with relatively low correlation coefficients can be examined by checking the alignment of correlation traces on the different channels. The length of the fault zone leads inevitably to a great diversity in the waveforms, although a small number of clusters of very similar events emerge from the TRISAR data. Events which the correlation analysis had placed within the same cluster were listed in the ISC Bulletin with separations of up to tens of kilometres. This made it necessary to check the validity of the TRISAR clusters by applying the same procedure independently to the three-component stations of the National Seismographic Network of the National Observatory of Athens, located at local to regional distances from the aftershock area. Results suggest that array-based waveform correlation provides a robust tool both for identifying event clusters within large aftershock areas and for identifying situations in which bulletin event location estimates need re-evaluation.     

Towards global seismic monitoring of underground nuclear explosions using waveform cross correlation. Part I: Grand master events

We propose to use waveform cross correlation techniques for seismic monitoring of the Comprehensive Nuclear-Test-Ban Treaty (CTBT) by proving the ability to build the Global Grid (GG) of master events using high-quality waveform templates at stations of the International Monitoring System. In seismically active regions, the choice of the highest quality and most representative signals from earthquakes as templates for master events is straightforward and one can reduce the current amplitude detection threshold at the International Data Centre (IDC) by a factor of 2 to 3. This gain practically doubles the number of built events, and thus, is crucial for seismic monitoring under the CTBT. However, the coverage by real masters is confined to areas with natural seismicity. Here, we investigate the possibility to populate the GG with real and synthetic master events as a two part study. In Part I, we estimate the effectiveness of cross correlation based on a regular grid filled with grand-master events with replicated high-quality waveform templates.In Part II, we develop and estimate efficiency of synthetic waveform templates for aseismic zones. Both approaches are quantitatively tested using the aftershock sequence of the April 11, 2012 Sumatera earthquake. The cross correlation bulletin previously built using sixteen real master events is a natural benchmark to evaluate the performance of the replicated masters and synthetic waveforms. In Part I, we prove that the replicated grand masters demonstrate the performance at the level of real masters. The Primary IMS Seismic Network includes many array stations, which provide a higher resolution monitoring based on cross correlation.     

青海大柴旦地方震波形特征分析

利用双差定位法对2009—2015年大柴旦M 0.5以上地震重新进行精确定位,并绘制区域地震震源深度频数直方图。根据地震精定位结果,选取地震波形记录较好的事件进行特征分析。结果发现,重新定位后,大柴旦地区约65%的地震震源深度分布在6—10 km,震源深度较浅,地震波列衰减快,经过滤波,在直达波后观测到新的震相,初步推测为康拉德界面反射波。     

Seismicity in the outer rise offshore southern Chile: Indication of fluid effects in crust and mantle

We examine the micro-earthquake seismicity recorded by two temporary arrays of ocean bottom seismometers on the outer rise offshore southern Chile on young oceanic plate of ages 14 Ma and 6 Ma, respectively. The arrays were in operation from December 2004–January 2005 and consisted of 17 instruments and 12 instruments, respectively. Approximately 10 locatable events per day were recorded by each of the arrays. The catalogue, which is complete for magnitudes above 1.2–1.5, is characterized by a high b value, i.e., a high ratio of small to large events, and the data set is remarkable in that a large proportion of the events form clusters whose members show a high degree of waveform similarity. The largest cluster thus identified consisted of 27 similar events (average inter-event correlation coefficient > 0.8 for a 9.5 s window), and waveform similarity persists far into the coda. Inter-event spacing is irregular, but very short waiting times of a few minutes are far more common than expected from a Poisson distribution. Seismicity with these features (high b value, large number of similar events with short waiting times) is typical of swarm activity, which, based on empirical evidence and theoretical considerations, is generally thought to be driven by fluid pressure variations. Because no pronounced outer rise bulge exists on the very young plate in the study region, it is unlikely that melt is accessible from decompression melting or opening of cracks. A fluid source related to processes at the nearby ridge is conceivable for the younger segment but less likely for the older one. We infer that the fluid source could be seawater, which enters through fractures in the crust. Most of the similar-earthquake clusters are within the crust, but some of them locate significantly below the Moho. If our interpretation is correct, this implies that water is present within the mantle. Hydration of the mantle is also indicated by a decrease of P_n velocities below the outer rise seen on a refraction profile through one of the arrays [Contreras-Reyes, E., Grevemeyer, I., Flueh, E.R., Scherwath, M., Heesemann, M., 2007. Alteration of the subducting oceanic lithosphere at the southern central Chile trench-outer rise. Geochem., Geophys. Geosyst. 8, Q07003.]. The deepest events within the array on the 6 Ma old plate occur where the temperature reaches 500–600 °C, consistent with the value observed for large intraplate earthquakes within the mantle (650 °C), suggesting that the maximum temperature at which these fluid-mediated micro-earthquakes can occur is similar or identical to that of large earthquakes.     

利用波形互相关方法识别分析灌县—安县断裂重复地震

以中国地震台网中心地震目录中的事件为模板地震,通过滑动窗口的波形互相关方法对布设在灌县—安县断裂周边17个流动地震台的连续地震记录进行处理,识别M_L0.0以上的重复地震. 然后使用结合波形互相关技术的双差算法对这些地震进行重定位,获得了243次地震的重定位结果. 结果表明: 在研究时段内,灌县—安县断裂的地震活动性呈减弱趋势; 地震震源的优势分布深度为5—15 km,震源深度剖面显示地震呈高角度向西倾斜分布; 地震震中沿NE向分布,与龙门山前山断裂的走向基本一致; 研究区内南、 北两段的地震活动性及b值存在差异,这可能与龙门山断裂带中段区域应力方向由南到北发生的WNW向到ENE向转换的构造作用密切相关.      

2013-2014年山东乳山地震序列发震构造初探

采用结合波形互相关技术的双差定位方法,对2013—2014年山东乳山地震序列重新定位,通过CAP及P波初动方法确定乳山序列较大地震的震源机制,在此基础上初步探讨乳山地震序列发震构造.结果显示,乳山序列呈现NW向展布,地震密集分布在8km×3km范围,震源深度分布在4~10km,4~7km区间相对集中.较大地震震源机制的节面Ⅰ方向与序列地震优势分布方向基本一致.综合考虑精确定位结果及较大地震震源机制,并结合震区附近地震资料,初步推测乳山地震序列发震断层为NW方向、近直立的走滑型隐伏断裂.     

柯坪塔格断裂带重复地震识别及其时空特征分析

根据互相关系数不小于0.8的波形互相关意义上重复地震的定义, 利用国家数字地震台网中的乌什和巴楚台记录的区域地震波形数据, 识别并研究了新疆柯坪塔格断裂带及其周缘的板内重复地震. 对所有相互距离不超过30 km的地震事件的垂直分量采用0.5—5.0 Hz带通滤波后进行波形互相关计算. 其中乌什台共识别出460例重复地震, 组成重复地震对和多重地震对共171组, 占总事件数的15.5%; 巴楚台共识别出822例重复地震, 组成重复地震对和多重地震对共298组, 占总事件数的21.2%. 对重复地震的分析表明, 台站分布的不同和波形事件记录质量的差异, 是造成两个台站识别出的“重复地震”数目和比例不同的原因. 对重复地震复发的时间间隔统计表明, 重复间隔从数分钟到数百天不等, 最长重复间隔达10年.      

龙门山断裂带周缘重复地震识别及其在台网定位评价中的应用

利用国家测震台网数据备份中心时间跨度超过7年的连续波形资料, 设定至少三个台站记录的垂直分量波形互相关系数大于0.8的地震对为一组重复地震, 通过波形互相关分析, 识别出龙门山断裂带周缘波形相关意义上的“重复地震”2790次, 构成2907组重复地震。 沿用Schaff和Richards的研究结果, 假定“重复地震”间距很小(小于1 km), 地震目录记录的重复地震对位置之差主要为地震台网的定位误差所致, 基于此误差给出了龙门山断裂带周缘地震台网的定位精度估计: 台网的水平定位精度较高, 水平定位误差约为2.8 km(2倍标准差), 且西南段台网的水平定位精度优于中北段; 垂直定位精度较差, 垂直定位误差约为10 km(2倍标准差), 现有地震定位方法对震源深度的测定有待改善。     

天山中段地区重复地震时空特征研究

基于2009—2017年新疆区域数字地震台网记录的地震波形数据,利用波形互相关技术及主事件定位方法识别并重新定位了新疆天山中段及其周缘的重复地震。以波形互相关系数0.9作为阈值来确定研究区的重复地震事件,统计结果显示3万零181个事件中的1万1 618个为重复地震事件,这些重复地震事件组成了2395组重复地震对和重复地震丛,占总事件数的38.5%。根据重复地震重定位前后地震对之间距离的统计结果推测,该区域的系统定位误差约为5—10 km。进一步结合该区域最新的震源分类结果对不同震源类型重复地震的时空分布特征予以分析,结果显示:重复矿山爆破事件在空间上呈丛集性分布,且其中的93.6%发生于白天,同时呈现季节性发生模式,即爆破多发生于夏季,而冬季较少;而重复构造地震在空间上大多沿断层分布,24小时内呈随机分布的特征,且研究时段内每个月的活动水平相对平稳;重复诱发地震成丛分布于靠近油气田和水库的区域,但其中部分诱发地震的位置与构造地震重叠,发震时间特征与构造地震相似,为随机分布。      

Crustal structure beneath Tien Shan orogenic belt and its adjacent regions from multi-scale seismic data

As one of the world's most active intracontinental mountain belts, Tien Shan has posed questions for researchers regarding the formation of different tectonic units and active shallow seismicity. Here, we used a huge data set comprising of 7094 earthquakes from local, regional and teleseismic seismic stations. We used waveform modeling and multi-scale double-difference earthquake relocation technique to better constrain the source parameters of the earthquakes. The new set of events provided us with better initial earthquake locations for further tomographic investigation. We found that reverse-faulting earthquakes dominate the whole study area while the fault plane solutions for earthquakes beneath the northwestern Tarim Basin and the Main Pamir Thrust are diverse. There is a low-velocity anomaly beneath Bashkaingdy at depth of 80 km, and high-velocity anomalies beneath central Tien Shan at shallower depths. These observations are the keys to understand the mechanism of Tien Shan's formation because of Tarim Basin northward and Kazakh Shield's southward subduction in the south and north respectively. Velocities beneath western Tien Shan are relatively high. We thus infer that the Western Tien Shan is relatively less deformed than the eastern Tien Shan primarily due to a relatively brittle mantle.     

云南普洱糯扎渡水库蓄水前后P波速度结构变化特征

基于云南省糯扎渡水库台网17个台站所记录到的2009年11月至2014年9月期间的5 247次地震的P波绝对到时资料和相对到时资料,以及波形互相关得到的相对到时资料,采用双差地震层析成像方法联合反演了糯扎渡水库库区蓄水前和蓄水后2011年11月30日至2012年12月31日及2013年1月1日至2014年9月30日这3个阶段的震源参数和三维P波速度结构。结果显示:糯扎渡水库蓄水后,水库库区地震的发生频次增多,经重定位后的震源深度大多在10 km以内,尤其以5 km以内的居多,与前人得到的水库诱发地震震源深度小于10 km的结果基本吻合;随着蓄水量的增加,库水沿断层渗透,孔隙压力变化导致地震增多的区域延伸至左岸支库黑江和库区回水至库区中段的澜沧江段,并进一步向威远江和小黑江延伸,这些区域的P波速度降低;整体的水库渗水作用最大深度不超过7 km。      

中国东北的深源地震波形匹配检测及定位

中国东北珲春周边地区位于环太平洋地震带上,也是中国唯一存在的深源地震带.较大地震发生后常会有若干震级较小的余震发生,但在相同的地震震级情况下深源地震的余震一般比浅源地震的余震数量要少1~3个数量级,且在全球不同深震区的深震余震数量也存在显著差异.针对国际地震中心（ISC）2010年7月至2014年12月目录中给出的中国东北附近27次震源深度超过300 km的深源地震,我们首先利用区域固定地震台及NECsaids流动地震台阵的连续波形数据,选取已知地震事件作为模板,采用Match&Locate及Matched Filter方法进行波形互相关叠加分析来检测微小深震事件;然后对1966至2017年ISC目录中的东北地区深源地震进行双差重定位以提高震源位置的准确性,进一步分析深震活动与俯冲板片的关系.研究结果显示除ISC目录中给出的深震事件,我们未能检测出作为模板的深源地震的前震或余震活动,证明东北深源地震余震活动较少并不是由于台站分布有限而造成的漏检结果;重定位后震源延伸的角度与西太平洋板片在410~660 km地幔转换带内的俯冲角度较为一致,并且大部分深震震源位置位于俯冲板片中的亚稳态橄榄岩楔形区内部.结合双差定位结果、b值分析及前人研究成果,我们认为东北深源地震应不属于与俯冲非直接相关的"孤立地震",而是与西太平洋板块俯冲直接相关.     

Piezomagnetic monitoring in the South Pacific region

Data from an array of piezomagnetic stations in the South Pacific Islands indicate that noise limitations on piezomagnetic stress monitoring reported for California (Mueller andJohnston, 1981;Johnston et al., 1984) are probably pessimistic since they seem to include significant diurnal residual. Raw station differences could be significant at the 1.0 nT level out to distances of several hundred kilometres. Two large earthquakes have occurred within the network, and no coseismic anomalies were observed. However, changes in observed magnetic field for several stations within 200 km of the earthquakes indicate that stress propagation effects are observable prior to the events, and that these effects dominate the simple elastic effects previously investigated which accompany the stress drops for moderate to large earthquakes.     

2017年漾濞MS4.8和MS5.1地震序列的微震检测及重定位

基于云南地震台网记录到的2017年漾濞M_S4.8和M_S5.1地震序列的地震目录和波形数据,采用结合波形互相关的双差定位方法得到了M_S5.1主震前7天至主震后30天共258次地震事件更加准确的震源位置,然后利用匹配定位方法获得了更加丰富的地震目录,并对其余震活动的时空演化特征进行了初步分析。双差重定位获得了漾濞地震序列中193次地震的精确位置,水平方向和垂直方向的定位误差均值分别为1.3 km和1.9 km,重定位及震源机制解反演结果显示维西—乔后断裂中南段应为此次地震的发震断层。使用匹配定位方法检测得到了1 625次中小地震事件,事件数量是云南地震台网目录中的6倍,被检测事件主要为主震后早期余震及M_L≤0微震事件。对比2016年云龙M_S5.0地震序列的研究结果后初步分析认为,“震群（多震）型”和“主余型”地震序列的一个主要区别可能是“震群（多震）型”地震序列的余震数量相对更少、余震活动衰减得更快。      

格尔木地震台阵勘址数据分析与台阵布局设计

为了增强西部地区的地震监测能力, 中国拟在格尔木地区建立一个小孔径地震台阵。 本文对台阵勘址数据进行了噪声与信号的相关性分析, 得到地震监测的最佳台间距。 结果表明, 对于近震和区域震的监测, 该台阵子台间距最好小于500 m, 对于远震的监测, 台站组合间距应为1500～2000 m。 最后将勘址布设的台阵作为初选台阵进行了台阵响应计算, 计算显示, 台阵响应的主瓣在NW-ES方向较窄, 表明对来自该方向事件的慢度分辨率较高; 由于呈“L”型分布, 该初选台阵确定某些方向地震的方位角较好, 但检测其他方向事件的方位角精度不高, 这可以通过台阵校正进行改善; 台阵响应中出现的多处侧瓣是由于子台间距较大造成的。