竖向与水平向地震动加速度反应谱比特性分析

本文采用全球范围128次地震的3235组三分量强地面运动记录,分析了其加速度竖向分量反应谱与水平分量反应谱的比值(V/H)的总体特征,研究了V/H随震级、震中距、局部场地条件和震源机制的变化关系。研究结果表明:(1)场地越硬,长周期段V/H越大,短周期段则相反;(2)震级越大,长周期段V/H越大,短周期段变化不明显;(3)短周期段V/H随震中距增大而减小;(4)对于大震(M7),长周期段V/H随震中距增大而减小;而对于中强震(M7),比值在近场(R60km)随震中距增加而增大,在远场则随震中距增加而减小;(5)V/H与震源机制也有一定的关系。     

利用H/V谱比法辨识场址非线性反应(英文)

The horizontal-to-vertical spectral ratio has become popular in studies of the site effect and the determination of the predominant period of a site.     

基于环境噪声测试的隐伏断层场地H/V谱比特征分析

基于四川石棉县安顺场隐伏断层穿越区的60余次环境噪声测试,探讨了隐伏断层对环境噪声H/V谱比特征的影响,并且通过研究区所获卓越频率对其覆盖层厚度进行估算,以覆盖层厚度的变化揭示了隐伏断层的行迹。结果显示:① 在排除可能受河流影响引发的高频区后,隐伏断层带处的H/V谱比曲线多呈现高频、低放大系数和多峰值频率等特点;② 覆盖层厚度在部分强风化区和河流高频区存在5—10 m的差异;③ 环境噪声阵列反演所得部分覆盖层厚度变化较大区域与隐伏断层的形迹吻合。      

The reference spectral noise ratio method to evaluate the seismic response of a site

The seismic response of several sites in the Durban area of South Africa has been investigated using a refined version of the spectral ratio (H/V) generated by cultural seismic noise. Two samples of noise separated by an interval of several minutes for the vertical and the two orthogonal horizontal components were taken at each site. Though the two samples differed noticeably in the time as well as in the frequency domain, when the components are considered separately, the ratios of the horizontal to the vertical spectra were very similar for most of the pairs. This similitude was obvious not only in the frequencies of the peaks, but also in the range of amplifications involved. These observations have been used to introduce a refinement to the Nakamura Method. This refinement consists in using as a reference the H/V spectral ratio of a well-known, hard rock site. All the other soft sites of interest are then compared with this standard reference site. This comparison provides valuable information on the frequencies and amplification factors introduced by the critical soft sediments. This refined method will be referred here as the ‘Reference spectral noise ratio’.This method, is compared to a similar one devised to investigate the response of horizontal layers to longitudinal seismic waves, using the ratio of the spectra generated by long- period waves.     

Applying empirical methods in site classification,using response spectral ratio (H/V): A case study on Iranian strong motion network (ISMN)

Shear wave velocity, measured recently at 107 strong motion stations, is a new empirical basis in the applicability investigation of empirical classification techniques. These stations are classified considering Iranian Practice Code criteria (Standard 2800). To check the applicability of empirical methods, three different empirical techniques are applied to re-classify the stations using previously determined site classes. The first method is based only on the determination of peak periods at each station. It is found that the fundamental periods in different site categories are within the ranges proposed by Japanese Road Association. The second one is upon the site classification index (SI), suggested by Zhao et al. In this study, a new site index term is proposed for quantitative site classification using the empirical H/V spectral ratio (here after HVRS) method. It is shown that the results from this scheme are comparable with those obtained by applying the method of Zhao et al. and are more reliable than the results from using only peak periods. A large number of strong motion stations are classified in Iran for more control of proposed SI applicability. The mean response spectral ratio curves for all data of ISMN stations are found to be fairly consistent with those obtained by Zhao et al. The results show the practicability and efficiency of the proposed method in site classification. However, more shear wave measurements and further information, like surface geology, borehole data etc., are still needed to clarify the uncertainties of such empirical schemes.     

Relationship between geomorphological land classification and site amplification ratio based on JMA strong motion records

The relationship between the amplification ratio of earthquake ground motion and geologic conditions at Japan Meteorological Agency (JMA) stations nationwide was examined to propose an estimation method of the amplification ratio that is applicable to entire Japan. The amplification ratios for the instrumental JMA intensity, as well as for the peak ground acceleration and velocity, were obtained from the station coefficients of the attenuation relationships using strong motion records measured at 77 JMA stations over a period of more than 8 years. A combined use of geomorphological land classification and subsurface geology was found to yield the best estimate of the site amplification ratio. This result suggests that these data, and hence the Digital National Land Information, which is a nationwide GIS database, may be conveniently used for the estimation of strong motion distribution over large areas in Japan.     

场地分类新方法的研究

本文分析了现行“建筑抗震设计规范”（GBJ11－89）中的场地分类方法并指出其中的不足。根据对大量的实际场地的理论计算,发现场地传递函数的幅值谱有一定的规律性,以此为根据提出了一种新的场地分类方法,为场地分类方法的研究提供一个新的思路。     

基于噪声谱比法的福建台网观测台站的场地响应研究

应用噪声谱比法, 收集了福建台网观测台站记录的地脉动噪声数据, 计算分析了85个观测台站的场地响应． 根据场地响应曲线形态将福建台网观测台站分为4类, 并简要分析了影响台站场地响应结果的因素． 计算结果表明, 福建台网观测台站台基情况普遍较好, 在台站观测频带内场地响应曲线平坦, 大部分台站均没有明显的频率放大点． 本文采用H/V谱比法与Moya方法所获得的37个台站的场地响应结果基本一致, 仅有少数台站存在较大差异． 应用场地响应分析结果, 结合计算震级时所量取的周期, 对福建台网观测台站的单台震级校正值进行了估计, 并与统计方法获得的单台震级校正值进行了比对． 结果表明, 两种方法获得的台站震级校正值存在一定的相关性, 但由于考虑的影响因素不同, 具体的台站震级校正值尚存在差别．      

模糊聚类与遗传算法相结合的卫星云图云分类

针对模糊C均值聚类（FCM）方法存在的缺陷,提出运用遗传算法（GA）全局寻优与FCM局部寻优以及模糊减法聚类客观估算聚类数等优势互补的思想和途径进行卫星云图云分类判别.试验结果表明,综合方法（GA\|FCM）的云分类效果明显优于单一的FCM和GA算法,可有效弥补FCM和GA算法在云分类中存在的不足,并可运用于实况云图中云类的客观、自动判别.     

Evidence of nonlinear site response in horizontal-to-vertical spectral ratio from near-field earthquakes

The issue is addressed as to whether the horizontal-to-vertical spectral ratio (HVSR) method is sensitive to the amplitude of ground motion from near-field earthquakes. Twenty-one three-component accelerograms from two closely located similar soil sites in the town of Lefkas are used. The recordings represent 17 earthquakes covering a wide range of magnitudes, epicentral distances and azimuths. Peak horizontal accelerations (PGA) and velocities (PGV) lie in the ranges 20–540 cm/s² and 1.4–55.2 cm/s. For each HVS ratio, the site's fundamental-resonance frequency, f_res, is determined visually. Linear correlation analysis shows that f_res is strongly (negatively) correlated to PGA and PGV (r between −0.7 and −0.8); no correlation is found with resonance amplitude or epicentral distance. We show that the observed correlation is attributable to soil nonlinearity and indicate how weak-motion estimates of f_res can be corrected for use in assessing site response during strong shaking.     

A new site classification approach based on neural networks

Site classification is an important procedure for a reliable site-specific seismic hazard assessment. On the other hand, the site conditions at strong-motion stations are essential for accurate interpretation and analysis of the recorded ground motion data obtained from different regions of the world. For some countries with insufficient data on the subsurface geological settings, the required site condition information is not available. This paper presents a new and efficient approach for site classification based on artificial neural networks (ANN) along with a selected set of representative horizontal to vertical spectral ratio (HVSR) curves for four site classes. The nonlinear nature of ANN and their ability to learn in a complex environment make it highly suitable for function approximation and solving complicated engineering problems. Two types of radial basis function (RBF) neural networks, namely, probabilistic neural networks (PNN) and generalized regression neural networks (GRNN) were chosen in this study, as no separate training phase is required, rendering them particularly suitable for site classification. The proposed approach has been tested using data of the Chi-Chi, Taiwan, earthquake (Mw=7.6) recorded from 87 stations at which the site conditions are known. Analyses show that both the PNN and the GRNN perform very well with similar accuracy in estimating site conditions, with successful rates of 78% and 75%, respectively.     

区域场地分类方法研究综述

大量破坏性地震震害调查结果表明:松软土层场地上的震害情况要比坚硬岩石场地上的震害情况更加严重,在一定区域范围内不同类型场地上震害差别也较大,因此场地放大效应及区域场地分类的研究逐渐成为地震工程领域关注的热点问题。随着高精度地形地貌数据及地理信息处理软件的逐步完善,区域场地分类方法的研究迅速发展。本文重点介绍了基于地形条件、地貌条件、地质条件及综合条件的场地分类方法,对各方法的优缺点进行探讨,并分析了其在使用时应注意的重点问题。     

基于面向对象的无监督分类的遥感影像自动分类方法

为了实现无任何先验知识的高分辨率遥感数据的自动分类,并进一步提高自动分类精度和效率,提出了一种基于面向对象的无监督分类方法(Object Oriented Unsupervised Classification).具体步骤如下:首先对遥感影像进行分割,得到一系列空间上相邻、同质性较好的分割单元,然后对分割单元进行特征提取,得到分割单元的对象特征(光谱特征、纹理特征等多特征信息),进而对分割单元进行基于对象特征马氏距离聚类.最后,通过分类后处理(类别合并、错分类别调整等)得到最终的分类结果.通过实验表明:本文提出的方法不仅能够利用影像中更多的特征信息进行聚类而且还可以有效地减少聚类对象的个数,从而使自动分类的精度和效率都得到较大的提升.     

Alternative interpretations of horizontal to vertical spectral ratios of ambient vibrations: new insights from theoretical modeling

Different positions exist about the physical interpretation of horizontal to vertical spectral ratios (HVSR) deduced from ambient vibrations. Two of them are considered here: one is based on the hypothesis that HVSR are mainly conditioned by body waves approaching vertically the free surface, the other one assumes that they are determined by surface waves (Rayleigh and Love, with relevant upper modes) only. These interpretations can be seen as useful approximations of the actual physical process, whose reliability should be checked case-by-case. To this purpose, a general model has been here developed where ambient vibrations are assumed to be the complete wave field generated by a random distribution of independent harmonic point sources acting at the surface of a flat stratified visco-elastic Earth. Performances of the approximate interpretations and complete wave field models have been evaluated by considering a simple theoretical subsoil configuration and an experimental setting where measured HVSR values were available. These analyses indicate that, at least as concerns the subsoil configurations here considered, the surface-waves approximation seems to produce reliable results for frequencies larger than the fundamental resonance frequency of the sedimentary layer. On the other hand, the body waves interpretation provides better results around the resonance frequency. It has been also demonstrated that the HVSR curve is sensitive to the presence of a source-free area around the receiver and that most energetic contribution of the body waves component comes from such local sources. This dependence from the sources distribution implies that, due to possible variations in human activities in the area where ambient vibrations are carried on, significant variations are expected to affect the experimental HVSR curve. Such variations, anyway, only weakly affect the location of HVSR maximum that confirms to be a robust indicator (in the range of 10%) of the local fundamental resonance frequency.     

Applicability of the H/V spectral ratio of microtremors in assessing site effects on seismic motion

The authors examine the reliability of site response estimations obtained by the horizontal to vertical (H/V) spectral ratios of microtremors by means of cross‐validation with the ratio of the horizontal spectra of earthquake motion with respect to reference sites. The data comprise microtremor and ground motion records recorded at 150 sites of Yokohama strong motion array. The use of non‐supervised pattern recognition techniques aims to group the sites with more objectivity. Attributes defining the overall shape of the amplification spectra serve as input in the computation of Euclidean distance similarity coefficients amongst sites. The implementation of the Ward clustering scheme leads to the attainment of a meaningful tree diagram. Its analysis shows the possibility of summarizing the results into six general patterns. A good coincidence of site effects estimates at 80 per cent of the sites becomes apparent. However, this coincidence appears poor for sites characterized by H/V amplification ratios around 2 or smaller and predominant periods longer than 0.5 s. In such cases, the presence of stiff, sandy sediments in the soil profile proves common. To proscribe H/V estimations, relying solely on the small spectral ratios criterion seems inadequate. Copyright © 2001 John Wiley & Sons, Ltd.     

基于空间-光谱特征和稀疏表达的高光谱图像分类算法（英文）

针对传统的高光谱数据分类方法分类精度不高、没有充分地利用空间信息等缺陷,提出一种基于Gabor空间纹理特征（Gabor spatial texture features）及无参数加权光谱特征（Nonparametric weighted spectral features）和稀疏表达分类（Sparse representation classification）的高光谱图像分类算法,可以简写为Gabor-NW SF和SRC,即GNWSF-SRC。所提出的GNWSF-SRC分类方法首先通过融合高光谱的Gabor空间特征和无参数加权光谱特征来更好地描述高光谱图像,然后通过其进行稀疏表达,最终通过对比其重构误差获得分类结果。在训练集比例不同的情况下,用所提出的方法对两组典型的高光谱数据进行处理,理论研究和仿真结果表明：与传统的分类方法相比,所提出算法能够提高分类精度、Kappa系数等,取得了较好的分类效果。     

基于土层结构的场地分类方法

本文在详细研究了不同土层结构在不同地震动输入下的地表反应谱的平台值和特征周期的基础上,提出了基于土层结构的场地分类的初步方案。本方案给出了在现行建筑抗震设计规范四类场地划分的基础上,进一步考虑软弱夹层在底部、中部和上部3种情况的场地分类方法。本文的结果对进一步推动场地分类的研究具有一定的意义。     

Evaluation of an empirical orthogonal function–based method to downscale soil moisture patterns based on topographical attributes

Soil moisture influences many hydrologic applications including agriculture, land management and flood prediction. Most remote‐sensing methods that estimate soil moisture produce coarse resolution patterns, so methods are required to downscale such patterns to the resolutions required by these applications (e.g. 10‐ to 30‐m grid cells). At such resolutions, topography is known to affect soil moisture patterns. Although methods have been proposed to downscale soil moisture based on topography, they usually require the availability of past high‐resolution soil moisture patterns from the application region. The objective of this article is to determine whether a single topographic‐based downscaling method can be used at multiple locations without relying on detailed local observations. The evaluated downscaling method is developed on the basis of empirical orthogonal function (EOF) analysis of space–time soil moisture data at a reference catchment. The most important EOFs are then estimated from topographic attributes, and the associated expansion coefficients are estimated on the basis of the spatial‐average soil moisture. To test the portability of this EOF‐based method, it is developed separately using four data sets (Tarrawarra, Tarrawarra 2, Cache la Poudre and Satellite Station), and the relationships that are derived from these data sets to estimate the EOFs and expansion coefficients are compared. In addition, each of these downscaling methods is applied not only for the catchment where it was developed but also to the other three catchments. The results suggest that the EOF downscaling method performs well for the location where it is developed, but its performance degrades when applied to other catchments. Copyright © 2011 John Wiley & Sons, Ltd.     

基于垂向一阶导数与解析信号比值的欧拉反演方法

常规欧拉反褶积法中构造指数的选取以及分散解存在较多的问题,提出了基于联立垂向一阶导数与解析信号的欧拉齐次方程的RDAS-Euler反演方法。该方法可以更为精确的估计场源的范围及埋深,且不需考虑构造指数N的影响,避免了因构造指数不当而引起的反演误差。通过对单一地质体及组合地质体模型的实验证明本文方法能有效地完成目标体的反演工作,反演结果与理论值之间的误差小于10%,且相对于常规欧拉反褶积法更加稳定准确,能够更好的得到地质体边界及深度信息。将RDAS-Euler法应用于黑龙江省虎林盆地实测布格重力异常数据,获得了丰富的断裂信息,说明RDASEuler法增强了对断裂平面位置的识别能力。     

Proposal for a soil classification based on parameters alternative or complementary to Vs,30

The selection of specific elastic response spectra according to soil categories is the easiest way to account for site effects in engineering projects and general-purpose hazard maps. Most of the international seismic codes make use of the average shear wave velocity of the upper 30 m (Vs_,30) to discriminate soil categories, although some doubts arose about the capability of Vs_,30 to predict actual soil amplification. In this work we propose two soil classifications in which the soil fundamental frequency (f₀) becomes either an alternative or a complement to Vs_,30. The performance of the derived categorizations is achieved through the estimation of the standard deviation associated to ground motion prediction equations of acceleration response spectra, considering recordings extracted from the Italian strong motion data base. The results indicate that there is a significant reduction of the standard deviation when the classification is based on the couple of variables Vs_,30–f₀, although a classification based of the single f₀ also leads to satisfactory results, comparable with those obtained assuming a classification scheme based on Vs_,30.