Automatic Location of Swarm Earthquakes from Local Network Data

An advanced method of automated seismic phase picking and exact location and magnitude determination of swarm micro-earthquakes from local network data is presented. The phase picker is applied in two steps: first, S-wave groups are identified using a polarisation detector, and then corresponding P-wave groups are searched for. The times of maximum P- and S-amplitudes are then used as starting points for the determination of accurate P- and S-arrival times. The maximum S-wave amplitudes are utilised for determining local magnitudes. The whole procedure is checked by simultaneous preliminary hypocentre location providing estimates of local magnitudes and a compatibility check of the candidate P- and S-phases. The closest station to the earthquake cluster is used as a master, and the phase search at the remaining stations is governed by the P- and S-phases identified at the master station. Thanks to the use of apriori information on the approximate position of hypocentres, the procedure is also capable of picking the individual P- and S-phases of sequences of overlapping swarm events. The performance of the procedure was tested by comparison of the automatically and interactively created catalogues of the January 1997 NW-Bohemia micro-earthquake swarm. With stations located at epicentral distances between 0 and 20 km, the difference between hypocentre coordinates obtained by automatic and interactive processing did not exceed 80 m for 86% events. All events above magnitude 0.5 were identified, and the automatically determined polarity of first P-wave motion proved to be correct in 89% of them.     

Fractal Dimensions as Chaos Indicators

The correlation dimension D ₂ is used to develop a method of classification for phase space orbits. D ₂ depends only on the mutual distances of the orbits points, therefore the time development of the orbit is reflected in the time development of the correlation dimension approximants. It is shown, that this technique allows to investigate the dynamical properties of a phase space orbit, a classification of chaotic and regular orbits and a detection of sticky orbits.     

塔里木盆地北部隆起牙哈断裂带负反转过程与油气聚集

采用地层厚度分析、“零点”分析、位移 /距离曲线分析和断层生长指数分析等方法,讨论了牙哈负反转断裂带的几何学和运动学特征、主反转期及控油作用,结果表明牙哈主断裂主反转期为早白垩世,负反转活动结束于中新世康村期-上新世库车期。牙 1号断裂主反转期为中新世苏维依期,牙 2号断裂主反转期为晚白垩世-老第三纪,二者都于中新世康村期结束反转活动。牙哈断裂带油气聚集和分布与断裂的负反转活动有关。     

最小生成树相位解缠中冗余去除算法

目前，相位解缠的方法中以Goldstein提出的枝切法最为经典，它通过枝切线将残差点相互连接使得残差点电荷中和，在相位展开处理的积分中，积分路径不能穿过分支，从而限制误差的传播。但是由于枝切线连接策略的不合理，往往造成连成的枝切线过多、过长，甚至多条枝切线形成闭合区域，造成不能解缠的“死区”，特别是在残差点较多的情况，这种现象更为严重。本文在最小生成树原理的基础上，提出的枝切线冗余去除算法能简单、准确地去除枝切树中的冗余，并保证了相位解缠具有最好的效果。     

Further Study on Identifying Anomalous Large-Scale Rainfall Regimes in Phase Space

Using a 40-yr daily precipitation dataset including 134 stations from 1962 to 2001, the large-scale distribution patterns of precipitation anomalies over East China are investigated in the present paper. In the phase space spanned by the first 8 EOFs generated from the 20-day low-pass filtered data, the six rainfall regimes (RRs) are identified by applying a cluster analysis method, namely, the northeastern China regime, Yellow River regime, Qinling Mountain-Huaihe River regime, Yangtze River with its south regime, South China regime, and rainless regime. Analyses show that the new RRs exhibit good persistence and evident physical sense, and excellently represent both of countrywide and regional features, which also demonstrate the inhomogeneity of multi-dimensional phase space. Furthermore, it is more important that the new RRs can describe intraseasonal dynamic characteristics of large-scale rainfall anomalies, which is the most significant difference between the new RRs and the conventional seasonal mean rainfall patterns. On the other hand, the climatic characteristics of daily distributions of the RRs events, as well as the 40-year panorama of the RRs occurring are also investigated, which further document rationality and objectivity of the RRs with intraseasonal variability, and are likely to present more helpful information for short-term climate prediction, compared with other previous classical rainfall patterns.     

Automatic onset phase picking for portable seismic array observation

Automatic phase picking is a critical procedure for seismic data processing, especially for a huge amount of seismic data recorded by a large-scale portable seismic array. In this study is presented a new method used for automatic accurate onset phase picking based on the proporty of dense seismic array observations. In our method, the Akaike＇s information criterion （AIC） for the single channel observation and the least-squares cross-correlation for the multi-channel observation are combined together. The tests by the seismic array observation data after triggering with the short-term average/long-term average （STA/LTA） technique show that the phase picking error is less than 0.3 s for local events by using the single channel AIC algorithm. In terms of multi-channel least-squares cross-correlation technique, the clear teleseismic P onset can be detected reliably. Even for the teleseismic records with high noise level, our algorithm is also able to effectually avoid manual misdetections.     

InSAR相位分解及其在生成DEM和研究地震形变场中的应用

InSAR是极具发展潜力的微波遥感新技术,可应用于数字高程模型的产生、制图和大范围微小地表形变的测量。考虑参考面、地形和地表形变等因素,本文从几何角度分析和讨论了In-SAR的相位分解,并给出了各相位分量的函数表达式,阐述了地表高程和形变信息提取的基本原理。最后以JERS和ENVISAT卫星数据为例,展示了合成孔径雷达干涉测量在生成数字高程模型和提取地震形变场中的应用及其数据处理过程。     

热水沉积-热液改造成因铅锌矿床——河南熊耳群火山岩中一种新的矿床类型

骑马沟铅锌矿赋存于熊耳群条纹状硅质大理岩与火山凝灰岩之间.通过对矿床地质、岩石、矿物组合特征等方面的初步研究,认为该矿床为热水沉积-热液改造成因铅锌矿床,其成矿主要与熊耳期火山岩及火山气液作用有关.这是在河南熊耳群火山岩中首次发现的该类矿床类型.     

淮河流域(河南段)第四纪地层沉积规律

本文详细介绍了第四纪地层划分原则,确定了第四纪下限与各世内分的时间,对河南段各个时期地势、各统的沉积规律进行了阐述,确定了含水层主流相与边缘相.     

Kinetics of bubble collision and attachment to hydrophobic solids: I. Effect of surface roughness

Influence of surface roughness of the Teflon plates on kinetics of the bubble attachment was studied. Phenomena occurring during collisions of the air bubble, rising in clean water, with Teflon plates, differing only in their surface roughness, were recorded and analysed using a high-speed camera. Variations of the local velocity of the bubble during the collisions and the time of the bubble attachment were determined. It was found that the Teflon surface roughness was the parameter of a crucial importance for the attachment time of the colliding bubble. Depending on degree of the surface roughness the time of the attachment varied by over order of magnitude (from 3 to over 80 ms). In the case the Teflon surfaces having roughness below 1 μm there were recorded four to five “approach–bounce” cycles prior to the bubble attachment. Moreover, after the first collision the rapid pulsations of the bubble shape (within fraction of millisecond) were recorded. For surfaces of roughness ca. 50 μm and larger the attachment always occurred during the first collision—there was no bouncing observed and the time of the attachment was below 3 ms. It was documented that presence of a micro-bubble at the surface facilitated attachment of the colliding bubble.