TSP在隧道超前地质预报的应用研究

由于隧道施工经常遇到严重的地质灾害,施工前进行超前地质预报是十分必要的。本文介绍了TSP超前地质预报系统的技术特点和基本原理,结合工程实例探讨了在使用TSP过程中的一些技术问题。结果显示利用工程地质调查结论可以确定合理的探测方案和提高TSP的预报精度。     

A new method to detect transitory signatures and local time/space variability structures in the climate system: the scale-dependent correlation analysis

The study of transitory signals and local variability structures in both/either time and space and their role as sources of climatic memory, is an important but often neglected topic in climate research despite its obvious importance and extensive coverage in the literature. Transitory signals arise either from non-linearities, in the climate system, transitory atmosphere–ocean couplings, and other processes in the climate system evolving after a critical threshold is crossed. These temporary interactions that, though intense, may not last long, can be responsible for a large amount of unexplained variability but are normally considered of limited relevance and often, discarded. With most of the current techniques at hand these typology of signatures are difficult to isolate because the low signal-to-noise ratio in midlatitudes, the limited recurrence of the transitory signals during a customary interval of data considered. Also, there is often a serious problem arising from the smoothing of local or transitory processes if statistical techniques are applied, that consider all the length of data available, rather than taking into account the size of the specific variability structure under investigation. Scale-dependent correlation (SDC) analysis is a new statistical method capable of highlighting the presence of transitory processes, these former being understood as temporary significant lag-dependent autocovariance in a single series, or covariance structures between two series. This approach, therefore, complements other approaches such as those resulting from the families of wavelet analysis, singular-spectrum analysis and recurrence plots. A main feature of SDC is its high-performance for short time series, its ability to characterize phase-relationships and thresholds in the bivariate domain. Ultimately, SDC helps tracking short-lagged relationships among processes that locally or temporarily couple and uncouple. The use of SDC is illustrated in the present paper by means of some synthetic time-series examples of increasing complexity, and it is compared with wavelet analysis in order to provide a well-known reference of its capabilities. A comparison between SDC and companion techniques is also addressed and results are exemplified for the specific case of some relevant El Niño-Southern Oscillation teleconnections.     

三维粘弹介质地震波场有限差分并行模拟

有限差分法在三维粘弹性复杂介质正演模拟地震波的传播中对计算机内存和计算速度要求比较高,单个PC机或工作站只能计算较少网格内短时间的波场。本文介绍一种基于MPI的并行有限差分法,可在PCCluster上模拟较大规模三维粘弹性复杂介质中地震波传播时的波场;可预测地震波在此类条件下传播时的运动学和动力学性质。对于更好地理解波动传播现象,解释实际地震资料及反问题的解决等均具有重要的理论与实际意义。     

黄土场地震动液化实例

湿度大的黄土在地震作用下会发生液化和震陷,已在室内动力试验和古地震的调查中得到了证实。目前工程规范对黄土的液化预测判别尚缺乏经验,暂未列入规范。本文介绍了一些黄土地基处理施工的实例,证明饱和黄土在受到机械振动或冲击作用的影响后,会产生液化使所处理的地基下沉,对开展黄土液化机理、液化判别与危害评价方法及工程预防措施的研究具有现实意义。     

现行有关规范用于黄土地区的局限性分析

探讨了现行有关规范用于黄土地区存在的某些不足,阐明了场地条件和场地类别等因素对抗震设防参数的影响问题,强调了重视地方标准的制定的必要性。同时也展望了今后尚需开展的研究工作。     

城市地震灾害风险评价方法研究

风险管理研究已成为防灾减灾工作从“被动救灾”到“主动预防”转化的热门课题。本文回顾了地震灾害风险评价研究进展,指出了现有评价方法的不足。提出了基于地震小区划的城市地震危险性评价方法、基于城市用地类型的城市地震易损性评价方法以及基于专家打分法的城市防震减灾能力评价方法。最后设计了城市地震灾害风险评价流程,并给出了城市地震灾害风险区划算法。     

2005年10月8日巴基斯坦7.8级地震热红外异常

收集了2005年巴基斯坦7.8级地震区Noaa17/AVHRR的2004-2005年的热红外遥感资料,并进行地表温度反演,得到了以震中为中心7°×7°范围的地表温度值。经热红外图像解译与构造关系对比分析,表明热红外解译图像与构造分布具有一致性。震源区地表温度时间序列显示:震前大约3个月内震源区存在明显的热红外异常。     

1997-1998年伽师强震群震源区应力场特征

利用1997-1998年伽师强震群中强地震震源机制系统聚类及震源区应力场反演,得到以下主要结果:(1)伽师强震群中强地震主要以走滑和正断层为主,伽师震源区主压应力方向为NNE或近NS向,与相邻的柯坪块体区域构造应力场方向不一致;伽师强震群的破裂面沿NEE方向,属左旋破裂;(2)4~5级中强地震应力场反演得到最大主压应力轴为NNE向,最小主压应力轴为NWW向,中等主应力轴倾角为65°,比较直立;(3)伽师强震群震源区应力场在强震前后经历了一系列变化。最后对所得结果进行了一定的讨论。     

云南水汞群体非均匀度异常与成组强震活动关系

阐述了一种前兆群体异常信息提取新方法前兆群体非均匀度的数学原理,并以云南水汞群体异常信息为例进行了具体计算。结果表明该方法以群体异常分布特征的变化为异常标准(ID≥1),达到异常即自动识别报警。该方法能克服个人经验的局限,易为他人进行检验,可成为本地区成组强震预测对应概率较高的新指标。     

2006年台湾屏东海外7.2级地震前福建漳州汰内井水氡异常分析

通过对福建华安县汰内井2005年以来的水氡测值进行分析,提取了中期及短期异常,认为这些异常与2006年12月26日台湾屏东海外7.2级地震有关。