应用单台垂向记录进行区域地震事件实时检测和直达犘波初动自动识别

提出一种基于直达P波信号和其它背景噪声在能量、非高斯性、非线性和偏振特性的不同而进行区域地震事件实时检测的新方法信噪综合差异特征量方法（简写为EFGLP方法）,同时对比分析了应用信号的不同统计特性来精细识别震相初至的３种有效方法,其中的TOC AIC方法是新提出的．应用山东数字地震波资料处理的结果表明：①与常规的STA/LTA地震事件触发算法相比,EFGLP方法能够有效降低地震事件的错误报警率和漏报率;②与人机交互震相识别结果相比,当信噪比比较低、震相初至比较模糊时,3种震相精细识别方法中的TOC-AIC方法识别精度最高;当信噪比比较高、震相初至比较清晰时,基于VAR-AIC 和TOC-AIC方法所测量得到的震相初至识别基本一致．     

框架结构的串联多自由度简化体系等效刚度参数的识别法

地框架结构和高耸建筑物进行地震反应分析时它常常被简化为串联多自由度体系。本文对此体系的刚度参数提出了一般的计算方法－参数识别法。     

Detecting multi-scale riverine topographic variability and its influence on Chinook salmon habitat selection

Quantifying geomorphic conditions that impact riverine ecosystems is critical in river management due to degraded riverine habitat, changing flow and thermal conditions, and increasing anthropogenic pressure. Geomorphic complexity at different scales directly impacts habitat heterogeneity and affects aquatic biodiversity resilience. Here we showed that the combination of continuous spatial survey at high resolution, topobathymetric light detection and ranging (LiDAR), and continuous wavelet analysis can help identify and characterize that complexity. We used a continuous wavelet analysis on 1-m resolution topobathymetry in three rivers in the Salmon River Basin, Idaho (USA), to identify different scales of topographic variability and the potential effects of this variability on salmonid redd site selection. On each river, wavelet scales characterized the topographic variability by portraying repeating patterns in the longitudinal profile. We found three major representative spatial wavelet scales of topographic variability in each river: a small wavelet scale associated with local morphology such as pools and riffles, a mid-wavelet scale that identified larger channel unit features, and a large wavelet scale related to valley-scale controls. The small wavelet scale was used to identify pools and riffles along the entire lengths of each river as well as areas with differing riffle-pool development. Areas along the rivers with high local topographic variability (high wavelet power) at all wavelet scales contained the largest features (i.e., deepest or longest pools) in the systems. By comparing the wavelet power for each wavelet scale to Chinook salmon redd locations, we found that higher small-scale wavelet power, which is related to pool-riffle topography, is important for redd site selection. The continuous wavelet methodology objectively identified scales of topographic variability present in these rivers, performed efficient channel-unit identification, and provided geomorphic assessment without laborious field surveys.     

A parallel evolutionary strategy based simulation–optimization approach for solving groundwater source identification problems

Groundwater characterization involves the resolution of unknown system characteristics from observation data, and is often classified as an inverse problem. Inverse problems are difficult to solve due to natural ill-posedness and computational intractability. Here we adopt the use of a simulation–optimization approach that couples a numerical pollutant-transport simulation model with evolutionary search algorithms for solution of the inverse problem. In this approach, the numerical transport model is solved iteratively during the evolutionary search. This process can be computationally intensive since several hundreds to thousands of forward model evaluations are typically required for solution. Given the potential computational intractability of such a simulation–optimization approach, parallel computation is employed to ease and enable the solution of such problems. In this paper, several variations of a groundwater source identification problem is examined in terms of solution quality and computational performance. The computational experiments were performed on the TeraGrid cluster available at the National Center for Supercomputing Applications. The results demonstrate the performance of the parallel simulation–optimization approach in terms of solution quality and computational performance.     

Multi-level parameter structure identification for two-phase porous-media flow problems using flexible representations

We consider identification of absolute permeability (hydraulic conductivity) based on time series of pressure data in sparsely distributed wells for two-phase porous-media flow. For this problem, it is impossible to recover all details of the parameter function. On the other hand, a coarser, approximate recovery may be sufficient for many applications. We propose a novel solution approach, based on reparametrization, for such approximate identification of the parameter function. We use a nonlinear, composite representation, which is detached from the computational grid, allowing for a flexible representation of the parameter function at many resolution levels. This is utilized in a sequential multi-level estimation of the parameter function, starting at a coarse resolution, which is then gradually refined. The composite representation is designed to allow for smooth as well as sharp transitions between regions of nearly constant parameter value. Moreover, it facilitates the estimation also of the structure and smoothness of the parameter function itself. As a limiting case, the chosen representation is reduced to a zonation with implicit representation of the interior boundaries that is equivalent to a level-set representation. A motivation for the selected representation and the multi-level estimation is presented in terms of an analysis of sensitivity and nonlinearity. Numerical examples demonstrate identification of coarse-scale features of reference permeability distributions with varying degree of smoothness. Comparisons show how the multi-level strategy stabilize the identification and avoid local minima of the objective function compared to a single-level strategy.     

500kN 足尺磁流变液阻尼器设计的关键技术

对我们制作的、目前出力居世界前列的500kN足尺MR阻尼器设计的关键技术、阻尼器的性能试验及力学模型的参数识别进行了研究。在对磁流变液材料的最大屈服剪应力、抗沉降稳定性以及磁滞响应时间等关键性能试验分析的基础上,确认该磁流变液的抗沉降稳定性和其他两项性能指标满足MR阻尼器的设计与工程应用要求。同时,对此500kN足尺MR阻尼器设计的关键技术,包括内置式碟型弹簧蓄能器、磁场防漏设计以及引线保护等进行了介绍;并通过对此MR阻尼器性能的试验,依据阻尼最小二乘法,对MR阻尼器采用的修正的B ingham模型的参数进行了识别,得到了与试验结果吻合的MR阻尼器的力学模型。通过研究可知,高性能磁流变液材料的制备以及MR阻尼器设计的关键技术是大吨位足尺MR阻尼器成功的关键。     

月球冷海高铝玄武岩遥感识别及其地质特征分析

高铝玄武岩是美国Apollo和前苏联Luna任务采集的月球样品中极其特殊且具有重要意义的一类样品,对月幔的不均匀性分异和月球早期热演化活动具有重要的指示性意义.本文以地形和成因极其独特的月球冷海中小型撞击坑坑壁或者近端溅射物中新鲜裸露的岩石（岩石丰富>0.5%）为突破口,利用中心和临近像元之间的Al₂O₃含量和镁指数（Mg#）间的线性关系消除了月海-高地混合物影响,将实验室岩性分类标准应用于Lunar Prospector（LP）钍（Th）和Lunar Reconnaissance Orbiter（LRO）Diviner主要元素氧化物反演产品中,获得月球表面新鲜裸露的高铝玄武岩质（Al₂O₃>11 wt%）岩石位置信息.以此为基础,通过目视解译的方法识别了埋藏在冷海表面风化层以下的高铝玄武岩斑块（10个）和单元（1个）.在LRO宽角（WAC）相机和数字地形图影像（LOLA GLD100）中对高铝玄武岩形态学地质特征统计表明,冷海中的高铝玄武岩总面积和体积为3694 km²和1160 km³,岩层的最大埋藏深度和厚度为331 m和207 m.研究结果表明,冷海高铝玄武岩岩层一般具有不一致且不连续的厚度和较大的成分变化范围,并且不是广泛地分布于冷海之中,只是零散地分布于中西部,以及集中于东部的两个表层月海玄武岩地质单元之下.这些分布特征意味着月球冷海早期的高铝型火山活动可能以随机的小型（面积小于500 km²或者体积小于100 km³）喷发为主,偶尔会出现大型的喷发.

     

Wave propagation in a seven-story reinforced concrete building: I. Theoretical models

For transient, high frequency, and pulse like excitation of structures in the near field of strong earthquakes, the classical design approach based on relative response spectrum and mode superposition may not be conservative. For such excitations, it is more natural to use wave propagation methods. In this paper (Part I), we review several two-dimensional wave propagation models of buildings and show results for theoretical dispersion curves computed for these models. We also estimate the parameters of these models that would correspond to a seven-story reinforced concrete building in Van Nuys, California. Ambient vibration tests data for this building imply vertical shear wave velocity β_z=112 m/s and anisotropy factor β_x/β_z=0.55 for NS vibrations, and β_z=88 m/s and β_x/β_z=1 for EW vibrations. The velocity of shear waves propagating through the slabs is estimated to be about 2000 m/s. In the companion paper (Part II), we estimate phase velocities of vertically and horizontally propagating waves between seven pairs of recording points in the building using recorded response to four earthquakes.     

The identification and criteria of short-term seismicity gap before a great earthquake

ＴｈｅｉｄｅｎｔｉｆｉｃａｔｉｏｎａｎｄｃｒｉｔｅｒｉａｏｆｓｈｏｒｔｔｅｒｍｓｅｉｓｍｉｃｉｔｙｇａｐｂｅｆｏｒｅａｇｒｅａｔｅａｒｔｈｑｕａｋｅＪＩＮＧＱＵＡＮＣＡＯ（曹井泉）ＪＩＡＬＩＮＳＵＮ（孙加林）ＹＩＹＡＮＧ（杨毅）Ｓｅｉｓｍｏｌ...     

一种裂缝流体因子的提出及应用

为了解决各向异性下的流体识别问题,将纵波各向异性裂缝预测以及Russell的流体因子融合到直角坐标系中,提出了一种能够同时检测裂缝发育情况以及流体性质的新的裂缝流体因子(Factor of Fluid-filled Fracture,FFF),并通过一组岩性参数检验了裂缝流体因子在裂缝预测及流体识别中的有效性.在理论研究的基础上,选取松辽盆地某地区的火成岩裂缝及流体识别研究为应用实例.通过与测井流体及裂缝信息的对比验证,裂缝流体因子能够较为准确地预测研究区裂缝和流体的分布情况,且裂缝流体因子在单井上的计算结果与单井含气饱和度吻合度较高.此外,根据实际应用效果,指出裂缝流体因子在应用中的局限性:裂缝流体因子在平面成图时受地层厚度影响较大,且无法预测裂缝方向.