邛崃4.5级地震与震后趋势判断

邛崃地震发生后,成都市地震局很快做出反应,及时开展了地震考察并做出了正确的震后趋势判断,取得了较好的社会效益。     

熊耳山地区内生金矿床成矿系列

按容矿空间和控矿因素,可将熊耳山地区内生金矿床划分为角砾岩型、构造破碎带蚀变岩型、石英脉型及由不同控矿因素复合控制的复合类型等。空间上不同类型之间具有密切的共生过渡关系。太华群原岩中的金在变质热液作用下被活化迁移至有利的构造部位,发生局部富集,形成"矿胚"或"矿胚"的发展,并为后期岩浆热液再次搬运,参与成矿。燕山中晚期钙碱性岩浆岩具较大的成矿能力,是本区金矿床的主要矿源。不同类型矿床稳定同位素及包裹体特征具相似的变化特点,分析表明,成矿流体主要源自岩浆,在成矿早期和晚期,不同地区可能有不同程度的变质水或大气水加入。作者认为,区内不同类型的金矿床是在统一的大地构造环境和成矿背景中形成的,有统一的矿质和介质来源,具相同或相似的成因,以发育角砾岩型金矿床为特点,以构造破碎带蚀变岩和角砾岩型为主要矿床类型,形成一个特定的矿床组合,即熊耳山地区内生金矿床系列。     

Zooplankton research off Peru: A review

A review of zooplankton studies conducted in Peruvian marine waters is given. After a short history of the development of zooplankton research off Peru, we review zooplankton methodology, taxonomy, biodiversity, spatial distribution, seasonal and interannual variability, trophodynamics, secondary production, and modelling. We review studies on several micro-, meso-, macro-, and meroplankton groups, and give a species list from both published and unpublished reports. Three regional zooplankton groups have been identified: (1) a continental shelf group dominated by Acartia tonsa and Centropages brachiatus; (2) a continental slope group characterized by siphonophores, bivalves, foraminifera and radiolaria; (3) and a species-rich oceanic group. The highest zooplankton abundances and biomasses were often found between 4–6°S and 14–16°S, where continental shelves are narrow. Species composition changes with distance from the shore. Species composition and biomass also vary strongly on short time scales due to advection, peaks of larval production, trophic interactions, and community succession. The relation of zooplankton to climatic variability (ENSO and multi-decadal) and fish stocks is discussed in the context of ecological regime shifts. An intermediate upwelling hypothesis is proposed, based on the negative effects of low upwelling intensity in summer or extremely strong and enduring winter upwelling on zooplankton abundance off Peru. According to this hypothesis, intermediate upwelling creates an optimal environmental window for zooplankton communities. Finally, we highlight important knowledge gaps that warrant attention in future.     

Identification of Fei-Tsui arch dam from both ambient and seismic response data

This purpose of this paper is to study the dynamic characteristics of the Fei-Tsui arch dam using the seismic response data and the ambient vibration data. For the identification of dam properties from seismic response data, the multiple inputs from the abutment of the dam to represent the nonuniform excitations of seismic input motion are considered, and the ARX model is applied using the discrete-time linear filtering approach with least-squares approximation to identify the dynamic characteristics of the dam. The system modal dampings, natural frequencies and frequency response functions are identified. A comparison of the identified modal parameters is made among different seismic events. Post-earthquake safety evaluation of the dam can be made based on the identified model. Finally, the ambient vibration test of the dam is performed to identify the mode shapes along the dam crest.     

Analysis of seismic dynamical systems

A procedure is presented for the analysis of complex stationary time series for which the Fourier power spectra reveals broadband noise or broadened pulses. We first determine the Hurst exponent from which we may know whether the time series under study is mainly random or if the data points present correlations. If the data are correlated, a chaotic analysis will reveal whether they may be interpreted as a low dimensional nonlinear system (defined by a low correlation dimension and a finite and positive Kolmogorov entropy and largest positive Lyapunov exponent) or as a stochastic process. We have studied three kind of temporal series: inter-event time series of infrasonic pulses recorded at Stromboli volcano, and, S-coda waves and microseisms, that have been recorded at the eastern Pyrenees. Results show that microseisms and Coda waves can be modeled as a low dimensional deterministic system, Correlation dimensions 2.3, 3.2, respectively. At the contrary infrasonic has resulted stochastic. This chaotic character can be attributed to the medium properties. Coda waves with scattering through a fractal distribution of scatters or to multiple reflection inside resonators (for example sedimentary basins) and microseisms as a propagation of wave guide of variable cross section which have the same temporal characteristics as a nonlinear forced oscillator.     

联合区域叠加滤波法与小波变换去除GPS站坐标时间序列噪声

GPS站坐标时间序列中存在的周期性与非周期性误差严重影响了对测站运动特征的分析及其非线性变化的物理机制解释。因此,为削弱噪声的影响,本文首先利用区域叠加滤波法去除了南加利福尼亚地区16个测站时间序列的共模误差,以此削弱时间序列中存在的包括周年和半周年误差在内的周期性误差。为去除滤波后残留的噪声,对滤波后的信号进行静态离散小波变换,提取了周期为半周年以上的信号。结果表明,联合区域叠加滤波法与小波变换对GPS站坐标时间序列进行处理,既能够削弱周期性误差对信号的影响,又能较好地提取测站的非线性运动信号。     

气侯时间序列变点的推断

本文研究时间序列的变点问题。所给出的统计方法可用来推断一个时间序列是否存在变点，存在几个变点以及变点在什么位置。这种统计推断方法可用于气候阶段的划分。     

基于脉冲响应数据的ARMA法建模以及模态参数识别

本文提出了基于脉冲响应数据的ARMA法建模以及模态参数识别的新方法。该方法利用单位脉冲响应函数与ARMA模型G reen函数等价的特点,通过脉冲响应函数来估计系统响应的自相关系数,然后建立推广的Yu le-W alker方程以求得ARMA模型自回归系数并进行参数识别。最后通过算例,对一个模拟系统进行了参数识别,对采样频率、识别精度、模型阶数之间的影响规律进行了分析。