Crustal transit time monitoring using PKP

The arrival time difference for the AB branch of PKP from deep Tonga earthquakes is constant over years with a standard deviation of ±0.05 seconds at seismographs located 10 to 50 km from each other. If published travel time curves are used to calculate the relative residuals of PKP the standard deviation from the constant mean is improved by approximately 0.01 seconds for AB branch data. For the BC branch, standard deviations of relative travel times of ±0.06 seconds are reduced to less than ±0.05 seconds by calculating relative residuals. We conclude that changes of crustal transit time forP-waves could be resolved, based on careful PKP arrival time measurement at two or more neighboring stations if the changes exceed 0.05 sec and last for more than one year. The conditions for achieving this result are that PKP from Tonga earthquakes is clearly recorded, and that time-keeping is accurate. The data on which these conclusions are based were obtained from the Graefenberg seismograph array, which is located in West Gemany and consists of 13 stations separated by distances of 10 km to 100 km. We propose that relative arrival times of PKP from Tonga could be used in the Mediterranean - Middle East area to search for precursory travel time changes before large earthquakes.     

建设数字地震 促进防震减灾

本文提出了“数字地震”的概念 ,讨论它的主要内容和问题 ,并对建设“数字地震”提出若干建设性意见。     

北部湾盆地不同凹陷原油生物标志物分布与组成特征

通过对取自北部湾盆地不同凹陷典型原油样品中各类生物标志物的分布与组成特征的系统分析，发现盆地北部的涠西南凹陷和乌石凹陷所产原油具有姥植比低和奥利烷与各类重排构型生物标志物含量低，而C26+长链三环萜烷系列和C304 甲基甾烷含量高的特点，且其三环萜烷系列呈现以C23为主峰的正态分布，指示了该类原油的烃源岩沉积时水体较深，还原性相对较强，且原始生烃母质以藻类为主；而南部福山凹陷和迈陈凹陷所产的原油则具有姥植比高和奥利烷与各类重排构型生物标志物含量高的特征，而C26+长链三环萜烷系列和C304 甲基甾烷含量低，且其三环萜烷系列呈现C19—C26阶梯状依次降低，表明这类原油的烃源岩沉积时水体较浅，还原性相对较弱，且原始生烃母质中被子植物来源的陆源有机质贡献较大。由此表明北部湾盆地南北不同凹陷第三纪的沉积特征和有机质生源构成存在显著差异。     

Heat capacity of γ-Fe2SiO4 between 5 and 303 K and derived thermodynamic properties

A multi-anvil device was used to synthesize 24 mg of pure γ-Fe₂SiO₄ crystals at 8.5 GPa and 1,273 K. The low-temperature heat capacity (C _p) of γ-Fe₂SiO₄ was measured between 5 and 303 K using the heat capacity option of a physical properties measurement system. The measured heat capacity data show a broad λ-transition at 11.8 K. The difference in the C _p between fayalite and γ-Fe₂SiO₄ is reduced as the temperature increases in the range of 50–300 K. The gap in C _p data between 300 and 350 K of γ-Fe₂SiO₄ is an impediment to calculation of a precise C _p equation above 298 K that can be used for phase equilibrium calculations at high temperatures and high pressures. The C _p and entropy of γ-Fe₂SiO₄ at standard temperature and pressure (S°₂₉₈) are 131.1 ± 0.6 and 140.2 ± 0.4 J mol⁻¹ K⁻¹, respectively. The Gibbs free energy at standard pressure and temperature (ΔG° _f,298) is calculated to be −1,369.3 ± 2.7 J mol⁻¹ based on the new entropy data. The phase boundary for the fayalite–γ-Fe₂SiO₄ transition at 298 K based on current thermodynamic data is located at 2.4 ± 0.6 GPa with a slope of 25.4 bars/K, consistent with extrapolated results of previous experimental studies.     

On the Bayesian analysis of the earthquake hazard in the North-East Indian peninsula

The Bayesian extreme-value distribution of earthquake occurrences has been used to estimate the seismic hazard in 12 seismogenic zones of the North-East Indian peninsula. The Bayesian approach has been used very efficiently to combine the prior information on seismicity obtained from geological data with historical observations in many seismogenic zones of the world. The basic parameters to obtain the prior estimate of seismicity are the seismic moment, slip rate, earthquake recurrence rate and magnitude. These estimates are then updated in terms of Bayes’ theorem and historical evaluations of seismicity associated with each zone. From the Bayesian analysis of extreme earthquake occurrences for North-East Indian peninsula, it is found that for T = 5 years, the probability of occurrences of magnitude (M _w = 5.0–5.5) is greater than 0.9 for all zones. For M _w = 6.0, four zones namely Z1 (Central Himalayas), Z5 (Indo-Burma border), Z7 (Burmese arc) and Z8 (Burma region) exhibit high probabilities. Lower probability is shown by some zones namely␣Z4, Z12, and rest of the zones Z2, Z3, Z6, Z9, Z10 and Z11 show moderate probabilities.     

青藏高原崇测冰芯氯离子、硫酸根离子记录

通过对青藏高原崇测冰帽一支18．70m冰芯中Cl^-、SO4^2-离子含量变化的分析表明，20世纪90年来Cl^-、SO4^2-离子含量在波动中呈下降趋势，两种离子的周期性波动变化相似，20世纪晚期比早期和中期的波动幅度小，总体上离子含量逐渐减少与温度在波动中上升相一致，但每一次温度的升高与离子含量的下降并非一一对应。陆源物质和青藏高原上的盐湖是冰芯中Cl^-、SO4^2-离子的主要贡献者。揭示了研究地区大气成分和环境变化与气候变化的关系及亚洲粉尘在全球环境变化中的源区地位。     

Evaluation of seismic ground motion induced by topographic irregularity

Results of an extensive numerical study on the 2D scattering of seismic waves by local topography are presented. The investigation has been conducted using the direct boundary element method. Several types of topography (slopes, canyons and ridges) are considered. The influences of some key parameters, such as exciting frequency and geometry of the irregular feature, on surface ground motion are studied in detail. It is found that local topographic conditions play an important role in the modification of seismic ground motion at the irregular feature itself and its neighbourhood. The present results can be considered to be useful from the viewpoint of earthquake engineering and seismology.     

海南三亚地区S4指数与C/N、ROTI的比较分析

本文通过利用海南三亚站（1834°N, 10962°E）GPS闪烁/TEC接收机2004年8月到2005年7月间观测数据，在对三亚地区闪烁初步统计分析的基础上，比较分析了观测数据中S₄（幅度闪烁指数）和C/N（载噪比），S₄和ROTI（TEC变化率标准差）的关系，同时对2004年11月7日的闪烁事件进行了具体的分析. 通过比较分析得出：（1）三亚地区全年的闪烁强度具有明显的半年变化，在春秋季出现全年闪烁强度的最大值；（2）S₄与C/N具有很好的负相关性；（3）ROTI可以作为由小尺度不规则结构引起闪烁出现的指示剂.     

Influence of the Kunlun Mountain Ms8.1 Earthquake on Horizontal Crustal Deformation in the Sichuan and Yunnan Area

In order to track the space-time variation of regional strain field holistically(in a large scale) and to describe the regional movement field more objectively,the paper uses a nonlinear continuous strain model focused on extracting medium-low frequency strain information on the basis of a region with no rotation.According to the repeated measurements(1999～2001～2004) from GPS monitoring stations in the Sichuan and Yunnan area obtained by the Project of "China Crust Movement Measuring Network",and with the movement of 1999～2001(stage deformation background) as the basic reference,we separated the main influencing factors of the Kunlun Mountain M-S8.1 earthquake in 2001 from the data of 2001 and 2004,and the results indicate:(1) the Kunlun Mountain M-S8.1 earthquake has a discriminating effect on the Sichuan and Yunnan area,moreover,the deformation mode and background had not only certain similitude but also some diversity;(2) The movement field before the earthquake was very ordinal,while after the earthquake,order and disorder existed simultaneously in the displacement field;The displacement quantities of GPS monitoring stations were generally several millimeters;(3) The principal strain field before earthquake was basically tensile in an approximate EW direction and compressive in the SN direction,and tension was predominant.After the earthquake,the principal strain field in the Sichuan area was compressive in the EW direction and tensile in the SN direction,and the compression was predominant.In the Yunnan area,it was tensional in the NE direction and compressive in the NW direction,and tension was predominant;(4) The surficial strain before the earthquake was dominated by superficial expansion,the contractive area being located basically in the east boundary of Sichuan and Yunnan block and its neighborhood.After the earthquake,the Sichuan area was surface contractive(the further north,the greater it was),and south of it was an area of superficial expansion.Generally speaking,the Kunlun Mountain M-S8.1 earthquake played an active role in the accumulation of energy in the Sichuan and Yunnan area.Special attention shall be focused on the segment of Xichang-Dongchuan and its neighborhood.     

松潘-平武地震前地震视应变场的时空演变

利用松潘-平武周边地区的地震资料研究了1970-1975年该地区地震视应变场的分布和时空变化特征。结果表明,地震视应变的时空变化与松潘-平武强震具有很好的对应关系,1970年在附近就出现异常区,并且地震视应变总体上逐年增加,地震就发生在地震视应变异常区。