Following the M w 7.9 Wenchuan earthquake, the M w 6.6 Lushan earthquake is another devastating earthquake that struck the Longmenshan Fault Zone (LFZ) and caused severe damages. In this study, we collected continuous...Following the M w 7.9 Wenchuan earthquake, the M w 6.6 Lushan earthquake is another devastating earthquake that struck the Longmenshan Fault Zone (LFZ) and caused severe damages. In this study, we collected continuous broadband ambient noise seismic data and earthquake event data from Chinese provincial digital seismic network, and then utilized ambient noise tomography method and receiver function method to obtain high resolution shear wave velocity structure, crustal thickness, and Poisson ratio in the earthquake source region and its surroundings. Based on the tomography images and the receiver function results, we further analyzed the deep seismogenic environment of the LFZ and its neighborhood. We reveal three main findings: (1) There is big contrast of the shear wave velocities across the LFZ. (2) Both the Lushan earthquake and the Wenchuan earthquake occurred in the regions where crustal shear wave velocity and crustal thickness change dramatically. The rupture faults and the aftershock zones are also concentrated in the areas where the lateral gradients of crustal seismic wave speed and crustal thickness change significantly, and the focal depths of the earthquakes are concentrated in the transitional depths where shear wave velocities change dramatically from laterally uniform to laterally non-uniform. (3) The Wenchuan earthquake and its aftershocks occurred in low Poisson ratio region, while the Lushan earthquake sequences are located in high Poisson ratio zone. We proposed that the effect of the dramatic lateral variation of shear wave velocity, and the gravity potential energy differences caused by the big contrast in the topography and the crustal thickness across the LFZ may constitute the seismogenic environment for the strong earthquakes in the LFZ, and the Poisson ratio difference between the rocks in the south and north segments of the Longmenshan Fault zone may explain the 5 years delay of the occurrence of the Lushan earthquake than the Wenchuan earthquake.展开更多
基于Bayes反演理论(Tarantola,1987,2005),在接收函数非线性复谱比反演方法基础上(刘启元等,1996),本文讨论了接收函数与地震环境噪声Rayleigh波相速度频散的联合反演.本文采用修正后的快速广义反射/透射系数方法(Pei et al.,2008,2009...基于Bayes反演理论(Tarantola,1987,2005),在接收函数非线性复谱比反演方法基础上(刘启元等,1996),本文讨论了接收函数与地震环境噪声Rayleigh波相速度频散的联合反演.本文采用修正后的快速广义反射/透射系数方法(Pei et al.,2008,2009)计算Rayleigh波相速度频散,并引入地壳泊松比的全局性搜索.数值检验表明:(1)接收函数与环境噪声的联合反演能够有效地解决反演结果对初始模型依赖的问题,即使对地壳速度结构仅有非常粗略的初始估计(例如,垂向均匀模型),本文方法仍能给出模型参数的可靠估计;(2)由于环境噪声与接收函数在频带上的适配性明显优于地震面波,接收函数与环境噪声的非线性联合反演能更好地约束台站下方近地表的速度结构;对于周期范围为2～40s的环境噪声相速度频散,利用本文方法能够可靠推测台站下方0～80km深度范围的S波速度结构,其浅表速度结构的分辨率可达到1km(3)本文方法能够可靠地估计地壳泊松比,泊松比的全局性搜索有助于合理解释接收函数和环境噪声的面波频散数据.利用本文方法对川西台阵KWC05台站观测的接收函数与环境噪声的联合反演表明,该台站下方地壳厚度为44km,上地壳具有明显的高速结构,24～42km范围的中下地壳具有低速结构.该台站下方地壳的平均泊松比为0.262,壳内低速带的泊松比为0.27.展开更多
介绍了两种差分 G PS定位模型 ,它们是码差分定位和 RTK ( real tim e kinem atic)定位 ,讨论了多径效应对码差分定位和 RTK定位精度的影响。利用 Javad G80采集数据 ,最后通过分析这些数据的统计特性 ,得到的计算结果表明 :影响差分 GP...介绍了两种差分 G PS定位模型 ,它们是码差分定位和 RTK ( real tim e kinem atic)定位 ,讨论了多径效应对码差分定位和 RTK定位精度的影响。利用 Javad G80采集数据 ,最后通过分析这些数据的统计特性 ,得到的计算结果表明 :影响差分 GPS定位系统精度的主要原因是多径效应和接收机噪声。展开更多
为保持对目标接收机的持续有效欺骗,增强欺骗干扰的隐蔽性,从信号传播损耗、噪声基底、仰角因素等方面对欺骗干扰的功率控制问题进行了定量的分析,得出了一种欺骗功率控制策略。该方法通过实时调整欺骗干扰的总功率及各支路信号功率,使...为保持对目标接收机的持续有效欺骗,增强欺骗干扰的隐蔽性,从信号传播损耗、噪声基底、仰角因素等方面对欺骗干扰的功率控制问题进行了定量的分析,得出了一种欺骗功率控制策略。该方法通过实时调整欺骗干扰的总功率及各支路信号功率,使得噪声基底的抬高幅度和最大欺骗信号信噪比限制在一定范围内。仿真表明,通过实时调整欺骗功率,可以将噪声基底限制在3 d B内,将最大欺骗信号信噪比限制在22 d B内,实现持续有效欺骗。该方法可行性较强,对欺骗干扰机的研制具有重要的指导意义。展开更多
基金supported by National Natural Science Foundation of China (Grant Nos.41074052,41174086,40974034)Key project from Institute of Geodesy and Geophysics,Chinese Academy of Sciences,and Foundation for Innovative Research Groups of the National Science Foundation of China (Grant No.41021003)
文摘Following the M w 7.9 Wenchuan earthquake, the M w 6.6 Lushan earthquake is another devastating earthquake that struck the Longmenshan Fault Zone (LFZ) and caused severe damages. In this study, we collected continuous broadband ambient noise seismic data and earthquake event data from Chinese provincial digital seismic network, and then utilized ambient noise tomography method and receiver function method to obtain high resolution shear wave velocity structure, crustal thickness, and Poisson ratio in the earthquake source region and its surroundings. Based on the tomography images and the receiver function results, we further analyzed the deep seismogenic environment of the LFZ and its neighborhood. We reveal three main findings: (1) There is big contrast of the shear wave velocities across the LFZ. (2) Both the Lushan earthquake and the Wenchuan earthquake occurred in the regions where crustal shear wave velocity and crustal thickness change dramatically. The rupture faults and the aftershock zones are also concentrated in the areas where the lateral gradients of crustal seismic wave speed and crustal thickness change significantly, and the focal depths of the earthquakes are concentrated in the transitional depths where shear wave velocities change dramatically from laterally uniform to laterally non-uniform. (3) The Wenchuan earthquake and its aftershocks occurred in low Poisson ratio region, while the Lushan earthquake sequences are located in high Poisson ratio zone. We proposed that the effect of the dramatic lateral variation of shear wave velocity, and the gravity potential energy differences caused by the big contrast in the topography and the crustal thickness across the LFZ may constitute the seismogenic environment for the strong earthquakes in the LFZ, and the Poisson ratio difference between the rocks in the south and north segments of the Longmenshan Fault zone may explain the 5 years delay of the occurrence of the Lushan earthquake than the Wenchuan earthquake.
文摘基于Bayes反演理论(Tarantola,1987,2005),在接收函数非线性复谱比反演方法基础上(刘启元等,1996),本文讨论了接收函数与地震环境噪声Rayleigh波相速度频散的联合反演.本文采用修正后的快速广义反射/透射系数方法(Pei et al.,2008,2009)计算Rayleigh波相速度频散,并引入地壳泊松比的全局性搜索.数值检验表明:(1)接收函数与环境噪声的联合反演能够有效地解决反演结果对初始模型依赖的问题,即使对地壳速度结构仅有非常粗略的初始估计(例如,垂向均匀模型),本文方法仍能给出模型参数的可靠估计;(2)由于环境噪声与接收函数在频带上的适配性明显优于地震面波,接收函数与环境噪声的非线性联合反演能更好地约束台站下方近地表的速度结构;对于周期范围为2～40s的环境噪声相速度频散,利用本文方法能够可靠推测台站下方0～80km深度范围的S波速度结构,其浅表速度结构的分辨率可达到1km(3)本文方法能够可靠地估计地壳泊松比,泊松比的全局性搜索有助于合理解释接收函数和环境噪声的面波频散数据.利用本文方法对川西台阵KWC05台站观测的接收函数与环境噪声的联合反演表明,该台站下方地壳厚度为44km,上地壳具有明显的高速结构,24～42km范围的中下地壳具有低速结构.该台站下方地壳的平均泊松比为0.262,壳内低速带的泊松比为0.27.
文摘介绍了两种差分 G PS定位模型 ,它们是码差分定位和 RTK ( real tim e kinem atic)定位 ,讨论了多径效应对码差分定位和 RTK定位精度的影响。利用 Javad G80采集数据 ,最后通过分析这些数据的统计特性 ,得到的计算结果表明 :影响差分 GPS定位系统精度的主要原因是多径效应和接收机噪声。
文摘为保持对目标接收机的持续有效欺骗,增强欺骗干扰的隐蔽性,从信号传播损耗、噪声基底、仰角因素等方面对欺骗干扰的功率控制问题进行了定量的分析,得出了一种欺骗功率控制策略。该方法通过实时调整欺骗干扰的总功率及各支路信号功率,使得噪声基底的抬高幅度和最大欺骗信号信噪比限制在一定范围内。仿真表明,通过实时调整欺骗功率,可以将噪声基底限制在3 d B内,将最大欺骗信号信噪比限制在22 d B内,实现持续有效欺骗。该方法可行性较强,对欺骗干扰机的研制具有重要的指导意义。
