埋藏基岩断裂对地震波动影响的超声模拟研究

地球表层的地质构造对地震波动有不容忽视的影响，研究其规律，对于探查地壳结构乃至了解地球表层动力学特征具有重要意义。应用超声模拟方法，从基岩断裂对波传播和波场分布的影响以及基岩断裂倾向对地表地震动频率的影响三个方面研究了埋藏基岩断裂对地震波动的影响，揭示了一系列现象和规律。     

主应力轴旋转对地铁荷载作用下 软黏土累积变形的影响

为了定量评价主应力轴旋转对地铁荷载作用下隧道下卧软黏土累积变形的影响,通过有限元方法并结合实测数据的验证对地铁荷载下地基土的应力路径进行分析;在此基础上,借助空心圆柱仪对这一复杂应力路径进行室内模拟和对比试验研究。结果表明：主应力轴旋转增大了软黏土的累积变形,且最大有效主应力比（有效最大主应力与有效最小主应力之比）越大、或加载频率越高增大更明显。在实际地铁荷载和通常隧道埋深条件下,考虑主应力轴旋转使软黏土的累积变形增加9%～23%（加载频率越高,增加越大）。可用常规循环三轴的累积变形试验结果乘以土体分别在有、无主应力轴旋转下变形的比值,来预估实际地铁荷载下软黏土的累积变形,初步研究得到该比值与土体的最大有效主应力比之间存在幂函数关系。     

Bootstrap based artificial neural network (BANN) analysis for hierarchical prediction of monthly runoff in Upper Damodar Valley Catchment

Estimation of runoff is a prerequisite for many applications involving conservation and management of water resources. This study is undertaken in the Upper Damodar Valley Catchment (UDVC) having a drainage area of 17513.08 km² for prediction of monthly runoff. Thirty one microwatersheds and 15 sub-watersheds were selected from a total of 716 microwatersheds in the catchment area for this study. The feasibility of using different soil attributes (particle size distribution, organic matter content and apparent density), topographic attributes (primary, secondary and compound), geomorphologic attributes (basin, relief and network indices) and vegetation attribute as Normalized Difference Vegetation Index (NDVI), on prediction of monthly runoff were explored in this study. Principal Component Analysis (PCA) was applied to minimize the data redundancy of the input variables. Ten significant input variables namely; watershed length (km), elongation ratio, bifurcation ratio, area ratio, coarse sand (%), fine sand (%), elevation (m), slope (°), profile curvature (rad/m) and NDVI were selected. The selected input variables were added in hierarchy with monthly rainfall (mm) as inputs for prediction of monthly runoff (mm) using Bootstrap based artificial neural networks (BANN). The performance of the models was tested using Spearman’s correlation coefficient (r), coefficient of efficiency (COE), Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). Best performance was observed for model with monthly rainfall, slope, coarse sand, bifurcation ratio and Normalized Difference Vegetation Index (NDVI) as inputs (r = 0.925 and COE = 0.839). Increase in number of input variables did not necessarily yield better performances of the BANN models. Selection of relevant inputs and their combinations were found to be key elements in determining the performance of BANN models. Annual runoff map was generated for all the microwatersheds utilizing the weights of the best performing BANN model. This study reveals that the specific combinations of soil, topography, geomorphology and vegetation inputs can be utilized for better prediction of monthly runoff.     

Spectral features of geomagnetic low point displacement and its mechanism

In this paper,Changli station in Hebei Province was taken as an example,in which the minute data of geomagnetic Z component was used to analyze the spectral values of its main frequencies during normal time,geomagnetic storm time and low point displacement time interval respectively. After fitting of ten high spectral values to loga-rithmic functions,it is found that,by using same length of data,the spectral values at geomagnetic storm time in-crease apparently compared with those at normal time,especially at the high frequency segment. While low point displacement occurred,the spectral values at high frequency are approximate to those at normal time,but at period above 4 hours they are mostly lower than those at normal time. Comparison of accumulating of some FFT results at low point displacement and normal time shows that,spectral values at periods of 8.5 and 13.7 hours increase at low point displacement time relative to those at normal time. Compared with the images of Ne observed at DE-METER satellite,it is illustrated that the occurrence of geomagnetic low point displacement is well corresponding with the increase of Ne in ionosphere. Finally it was discussed about those spectral features and the occurrence mechanism of geomagnetic low point displacement.     

Palaeomagnetism of the loess/palaeosol sequence in Viatovo (NE Bulgaria) in the Danube basin

The results of a palaeomagnetic investigation of a 27 m thick loess/palaeosol sequence in Viatovo (NE Bulgaria) are presented in this paper. The sequence consists of topsoil S₀, seven loess horizons (L₁–L₇) and six interbedded palaeosols (S₁–S₆) overlying a red clay (terra rossa) complex. Magnetic viscosity experiments, IRM acquisition, AMS analysis and NRM stepwise alternating and thermal demagnetisation experiments of pilot samples were implemented for precise determination of the characteristic remanence and construction of a reliable magnetostratigraphical scheme. Analysis of IRM acquisition curves using the expectation – maximization algorithm of Heslop et al. [Heslop, D., Dekkers, M., Kruiver, P., van Oorschot, H., 2002. Analysis of isothermal remanent magnetization acquisition curves using the expectation – maximization algorithm. Geophys. J. Int., 148, 58–64] suggests that the best fitting is obtained by three coercivity components. Component 1 corresponds to SD maghemite/magnetite, while component 2 is probably related to the presence of oxidised detrital magnetites. The third component shows varying coercivities depending on the degree of pedogenic alteration of the samples and probably reflects the presence of detrital magnetite grains oxidised at different degree.

The relevance of the Viatovo section as a key representative sequence for the loess cover in the Danube basin is confirmed by the presence of geomagnetic polarity changes in the lower part of the sequence. The youngest one recorded in the seventh loess unit L₇ can be identified as corresponding to the Matuyama/Brunhes palaeomagnetic polarity transition. Two normal magnetozones were found in the red clay complex, probably corresponding to the Jaramillo and Olduvai subchronozones of the Matuyama chron.     

主成分分析法在林甸Ms5．1地震回顾性预测中的应用

用2005年林甸Ms5．1级地震前后震中附近的地震资料,选择与地震强度有关的3级以上地震频次N、b值、Mf值、C值、和Ac值等6个参量进行主成分分析,实现对上述参量的有效约简。这6个参量之间有一定的相关性,各参量在不同时段的变化各有所异,预报效果并不理想。但是根据主成分分析可以得到反映地震强度的综合指标W,发现该指标在震源区附近出现明显的异常变化,震后异常恢复。表明综合指标W可以较好的反映地震活动的异常特征。     

新疆地震活动区的地磁观测与研究

新疆地区是中国最活跃的地震区之一.为了监测新疆地区潜在的强烈地震,2003年在该地区建立了N和S两个地磁测网并进行了地磁三分量测量.在N和S两个测网所选建的51个测点周围环境良好,地磁梯度小,适宜地磁测量.在野外测量中,使用性能稳定可靠的G-856磁力仪、DI磁力仪与GPS仪器,应用GPS测定方位角,DI磁力仪测量地磁偏角D与倾角I,G-856磁力仪测量总强度F.应用新疆地区乌鲁木齐与喀什地磁台站的资料,分别通化了N和S两个测网的地磁测量资料.该地磁通化值的平均标准偏差σ为:F的σf=0.20 nT;D的σd=0.06′;I的σI=0.03′,表明地磁测量资料准确可靠.根据上述地磁测量资料,应用精度高的spline方法,得到了N与S测网地磁场及其异常场的分布.结果表明,该地磁场及其异常场的分布,可以准确地描述N与S测网的地磁场及其地磁异常场.该地磁分布为今后在新疆地区的震磁研究与地震监测提供了良好的地磁参考场.     

初始中主应力系数对中密粉煤灰动模量阻尼比影响的试验研究

利用土工静力-动力液压三轴-扭转多功能剪切仪,开展了在三向非均等固结状态下的饱和中密粉煤灰循环扭剪试验。着重探讨了初始中主应力系数对饱和中密粉煤灰的动模量和阻尼比特性的影响。试验结果表明：初始中主应力系数对粉煤灰动剪切模量有一定的影响,对阻尼比没有影响。根据仪器量测系统的特点,采用了大小位移计联合测量角位移的方法,不仅能够提高测试精度,而且能够获得完整的动模量和阻尼比随动剪应变幅值的变化过程。