A spatial cross‐correlation model of spectral accelerations at multiple periods

Many seismic loss problems (such as disruption of distributed infrastructure and losses to portfolios of structures) are dependent upon the regional distribution of ground‐motion intensity, rather than intensity at only a single site. Quantifying ground‐motion over a spatially‐distributed region therefore requires information on the correlation between the ground‐motion intensities at different sites during a single event. The focus of the present study is to assess the spatial correlation between ground‐motion spectral accelerations at different periods. Ground motions from eight well‐recorded earthquakes were used to study the spatial correlations. On the basis of obtained empirical correlation estimates, we propose a geostatistics‐based method to formulate a predictive model that is suitable for simulation of spectral accelerations at multiple sites and multiple periods, in the case of crustal earthquakes in active seismic regions. While the calibration of this model and investigation of its implications were somewhat complex, the model itself is very simple to use for making correlation predictions. A user only needs to evaluate a simple equation relying on three sets of coefficients provided here to compute a correlation coefficient for spectral values at two periods and at a specified separation distance. These results may then be used in evaluating the seismic risk of portfolios of structures with differing fundamental periods. Copyright © 2012 John Wiley & Sons, Ltd.     

Structural pounding between adjacent buildings subjected to strong ground motions. Part I: The effect of different structures arrangement

The effect of different structures configurations on the collision between adjacent planar RC building frames subjected to strong earthquakes is examined in this paper. Two 5‐storey and two 8‐storey frames, regular or with setbacks, are combined together to produce nine different pairs of adjacent RC structures. These pairs of buildings are subjected to six strong ground motions that are absolutely compatible with the design process. Various parameters are investigated such as maximum displacements, permanent displacements, members' ductility and internal forces and interstorey drift ratios. It is concluded that the effect of collision of adjacent frames seems to be unfavourable for most of the cases and, therefore, the structural pounding phenomenon is rather detrimental than beneficial. Copyright © 2013 John Wiley & Sons, Ltd.     

不同频带数字化测震对比

通过对蒙城地震台不同频带数字化测震仪器记录的波形及震级进行对比分析,得出不同频带仪器记录不同地震事件的特点及其优越性,有利于提高数字化资料分析的精度.在进一步保证蒙城地震台观测资料的完整性和提高全频带数字化测震观测质量的同时,为蒙城地球物理野外观测研究站的科学研究提供有力数据支持.     

海口ZK26井多层位水温对比观测

在系统清理海口ZK26井3个不同层位(-153 m、-336 m、-510 m)近10年观测资料对比的基础上,对比单井多层位水温动态多年趋势、年、月、日动态类型,并对其不同动态类型的成因及影响因素进行分析.对比观测结果表明,海口ZK26井不同层位的水温表现出不同的正常动态特征,与观测层位的水文条件、水力性质有着密切的联...     

地质灾害与不同尺度降雨时空分布关系

降雨是地质灾害最重要的诱发因素之一,开展地质灾害与不同尺度降雨的时空分布研究,分析降雨诱发地质灾害的特点规律,对于提升地质灾害区域预警水平和防灾减灾实践具有重要意义。本文以2006～2007年汛期地质灾害的实际发生情况为例,通过统计分析方法,对区域地质灾害与年降雨量、月降雨量、月暴雨日数、典型降雨过程之间的时空分布关系开展系统分析,研究表明:降雨是群发型地质灾害发生的重要诱发因素,地质灾害的发育密度与年均雨量成正比,地质灾害发育密度最大的区域,其年均雨量最大;地质灾害分布与月降雨量、月暴雨日数的分布总体上具备一定的对应关系,但并不是完全对应的,主要受到典型强降雨过程的落区控制;在地质灾害多发区出现典型强降雨过程时,地质灾害群发。     

文昌鱼线粒体基因组特征分析及分子标记探讨

线粒体基因组已被广泛应用于后生动物分子系统发育和群体遗传的研究。文昌鱼（Amphioxus）作为研究脊椎动物起源和进化的模式动物,在脊椎动物起源和进化研究中占据极为重要的位置。作者综合分析文昌鱼2科7个种的51条线粒体基因组全序列,全面揭示了文昌鱼线粒体基因组的基本特征。文昌鱼线粒体基因组均编码后生动物标准的37个基因...     

不同压裂介质影响下绝对应力测值的试验研究

为研究不同压裂介质影响下的绝对应力测值,利用大尺寸真三轴模拟水压致裂试验系统,用清水及密度分别为1.1、1.2、1.3、1.4 g/cm3的泥浆介质对400 mm×400 mm×400 mm的花岗岩试样进行了水压致裂室内试验,成功获取了连续的压力-时间曲线。利用6种方法识别压力-时间曲线的闭合压力点,与实加最小水平主应力（ 5 MPa）对比,得出单切线等4种方法较为符合实际情况;在考虑试验系统柔度影响前提下,对比了实测和理论重张压力;最后分析了在持续泵压作用下岩石裂缝延伸的压力。试验结果表明,密度为1.1、1.2 g/cm3的泥浆介质对压力特征参数的取值影响较小,误差不超过1 MPa,但密度为1.3、1.4 g/cm3的泥浆介质对特征参数值影响很大。试验结果对水压致裂地应力测量技术在不同压裂介质影响下的适用性有重要的指导意义。     

A bivariate pareto model for drought

Univariate Pareto distributions have been so widely used in hydrology. It seems however that bivariate or multivariate Pareto distributions have not yet found applications in hydrology, especially with respect to drought. In this note, a drought application is described by assuming a bivariate Pareto model for the joint distribution drought durations and drought severity in the State of Nebraska. Based on this model, exact distributions are derived for the inter arrival time, magnitude and the proportion of droughts. Estimates of 2, 5, 10, 20, 50 and 100 year return periods are derived for the three variables, drought duration, drought severity and the pairwise combinations: (drought duration, drought severity), (inter arrival time of drought, proportion of drought) and (drought duration, drought magnitude). These return period estimates could have an important role in hydrology, for example, with respect to measures of vegetation water stress for plants in water-controlled ecosystems.