Emergency Seismic Damage Assessment of the M_S8.0 Great Wenchuan Earthquake Based on Remote Sensing Imagery

The fast processing, seismic damage data extraction and loss evaluation from RS imagery acquired immediately after a destructive earthquake occurs, are important means for compen-sating the insufficiency of seismic damage information from ground-based investigations and provide an important basis for emergency command and rescue. The paper introduces the method of emergency seismic damage assessment using remote sensing data and its application to the great Wenchuan earthquake of magnitude 8.0 occurring in southwest Sichuan Province on May 12, 2008. The practical effectiveness of the method is also evaluated in the paper.     

珠江三角洲通信系统震害预测

基于珠江三角洲通信建筑物的调查资料，对典型的通信建筑物做了时程地震反应分析和单体震害预测；对另一些建筑物做了群体震害预测；并就通信设备震害预测问题做了简单评述。     

抚顺钢厂场地震害效应预测

场地震害预测需要考虑区域地震地质背景和具体的场地条件本史分析了抚顺钢厂场地对震害有影响的各个因素,并利用模糊数学的方法划分出强、中、弱三种场地类型.研究结果表明.钢厂的场地大部分是好的和比较好的.     

星基增强系统L1频段信息服务性能分析

在北斗全球导航服务进程中,北斗星基增强服务的建设是我国卫星导航事业自身建设和不断完善发展的内在需求,更是我国卫星导航系统标准化建设的必然要求。本文基于星基增强信息定位原理,研究并实现星基增强系统的标准定位算法,采用IGS站点数据及增强信息电文,对WAAS与EGNOS系统服务性能进行分析评估,在“陆态网络”数据处理中,加入SBAS信息也可对相关误差进行改正。结果表明,加入播发的差分改正信息定位精度相对于伪距单点定位显著提高,平面方向统计均方根残差优于1m,高程方向优于1.2m;研究发现受地面参考站分布区域以及电离层、观测星座的影响,WAAS和EGNOS在定位服务性能覆盖范围内均表现出一定的区域性。从总体分析来看,不同系统空间段GEO卫星播发SBAS消息特性不一,均满足单频定位需求,EGNOS稳定性低于WAAS系统,播发消息时有中断现象,在实时单频定位性能方面,WAAS的服务性能较EGNOS得到更优的解算结果。     

基于WebGIS的地震应急快速反应系统设计与实现

根据镇江地震地质情况及防震减灾工作实际,通过需求分析及系统整体设计,建立基于WebGIS的地震信息数据库管理系统。系统采用Oracle数据库、JavaScript语言、Tomcat网站服务器,开发了具有地方特色的地震应急处置快速反应系统,系统可实现震后快速评估、辅助决策、震后趋势分析、震后应急资料产出等功能。实际应用表明,该系统达到了低成本、高效率的预期目标。     

2020年1月19日伽师MS6.4地震灾害损失评估及震害特点分析

2020年1月19日新疆伽师发生M S6.4地震,造成1人死亡、2人受伤,各类建(构)筑物、公共服务设施、生命线工程等都遭受不同程度的破坏。按照国家相关标准的原则和方法,通过对本次地震现场震害调查,评估出本次地震造成的总直接经济损失为15.26亿元,灾后恢复重建经费约需20.78亿元,并且分析了本次地震震害特点。这为今后的抗震救灾和灾后重建提供了科学依据。     

Numerical homogenization-based seismic assessment of an English-bond masonry prototype: Structural level application

A multiscale strategy is evaluated at a structural level for the analysis of unreinforced masonry structures. The mechanical characterization of the masonry is deduced from homogenization-based micro-scale finite element (FE) models. The derived data are here employed at a structural level via a discrete FE model. The discrete FE model is composed of quadrilateral rigid plates interconnected through vertical and horizontal interfaces. On the interfaces, between adjoining discrete elements, a model that accounts for the in- and out-of-plane behavior of masonry, with damage and plasticity, is adopted. Such interfaces represent the material pre- and post-peak regimes, its orthotropy, and, depending on the micro-model assumed, account by three-dimensional shear effects that are especially important for multi-leaf walls and complex regular textures. The discrete model has been implemented in an advanced structural analysis software where powerful built-in features as the arc-length method, line-search algorithm, and implicit or explicit solver schemes are available. The multi-scale model is applied for the dynamic study of a small English-bond masonry house prototype subjected to a series of consecutive earthquake records. Detailed comparisons between the experimental and numerical data are presented, including the results obtained through a continuous total strain rotating crack model. Quasi-static and dynamic analyses are conducted. Results demonstrate that when enough experimental information is available on the masonry components under tension, shear, and compression regimes, the approach predicts well the seismic structural response in terms of time-history displacements, seismic capacity, and damage patterns. The required computational cost (CPU time) is very attractive.     

电力系统地震灾害分析

针对电力系统在历次地震中坡坏的状态,通过对主要高压电气设备,高压变站电气主接线系统,变电站系统以及电力网络系统的抗震可靠性分析计算,对电力系统地震灾害的特点进行了分析。在此基础之上,提出了提高电力系统抗震可靠性的措施和建议。     

The incorporation of stochasticity in risk analysis and management: a case study

 The selection of optimal management strategies for environmental contaminants requires detailed information on the risks imposed on populations. These risks are characterized by both inter-subject variability (different individuals having different levels of risk) and by uncertainty (there is uncertainty about the risk associated with the Yth percentile of the variability distribution). In addition, there is uncertainty introduced by the inability to agree fully on the appropriate decision criteria. This paper presents a methodology for incorporating uncertainty and variability into a multi-medium, multi-pathway, multi-contaminant risk assessment, and for placing this assessment into an optimization framework to identify optimal management strategies. The framework is applied to a case study of a sludge management system proposed for North Carolina and the impact of stochasticity on selection of an optimal strategy considered. Different sets of decision criteria reflecting different ways of treating stochasticity are shown to lead to different selections of optimal management strategies.